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Proposals for sample size calculation programs.

H Heinzl1, A Benner, C Ittrich

  • 1Core Unit for Medical Statistics and Informatics, Medical University of Vienna, Vienna, Austria.

Methods of Information in Medicine
|December 11, 2007
PubMed
Summary
This summary is machine-generated.

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Enhancements to sample size calculation programs can prevent underpowered clinical trials by computing Type III errors and q-values. These tools also aid in planning reasonably sized studies by identifying detectable effect sizes for auxiliary alternatives.

Area of Science:

  • Clinical Trials
  • Biostatistics
  • Statistical Software

Background:

  • Numerous sample size calculation programs exist, including commercial and open-source options.
  • Current programs may not fully support statistical consultation during the planning phase of two-armed clinical trials.

Purpose of the Study:

  • Propose modifications to existing sample size calculation programs.
  • Enhance support for statistical consultation in two-armed clinical trial planning.

Main Methods:

  • Focus on directional two-sided tests commonly used in two-armed clinical trials.
  • Address the risk of Type III error in underpowered studies.
  • Introduce the concept of auxiliary alternatives for reasonably sized studies.

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Main Results:

  • Recommend sample size programs compute Type III errors and q-values.
  • Propose calculating minimum sample sizes to maintain q-values below specified levels.
  • Suggest enabling computation of detectable effect sizes for auxiliary alternatives.

Conclusions:

  • Modifications aim to prevent irresponsibly underpowered clinical trials.
  • Enhancements will help manage Type III error risk and q-values.
  • Proposal iii offers additional planning assistance for appropriately sized trials.