Program Overview

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Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well as computational approaches to implement the methods and practical issues, such as funder and regulator views.

Program Application

The program will include the application of the methods to real clinical trials, including trials for rare diseases.

If the input contained a 404 Error or was invalid, the response would be "NA". However, since the input was valid, the extracted program information is provided in the specified markdown format.

The final answer is:

Program Overview

The program focuses on leveraging external information in clinical trials, which brings numerous benefits, including maximizing the evidence provided by the trial, reducing the sample size required, and improving the generalisability of trial results.

Program Topics

The following topics will be covered:

• Bayesian methods that form prior distributions from elicited and multiple external data sources
  • Including the use of expert opinion and historical data
• Bayesian and hybrid approaches that account for uncertainty in sample size calculations
  • Such as assurance methods
• Methods that facilitate borrowing of historical information or data from within the same trial
  • Including master protocols
• Frequentist methods that use external data to create synthetic control groups and generalise results from less representative trials to wider patient populations
  • Including propensity score weighting and the use of cohort studies and routinely collected healthcare records
• Application to real clinical trials, including trials for rare diseases

Program Content

The program will cover the necessary theory, as well