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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Sample size determination for fold-increase endpoints defined by paired interval-censored data.

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Summary

This study introduces a new sample size formula for medical studies using the distributional approach for interval-censored data. This method offers more precise results than traditional dichotomization for analyzing paired measurements in clinical trials.

Keywords:
Dichotomizationdistributional approachfold-increasepaired interval-censored datasample size estimationstandard titer

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Area of Science:

  • Biostatistics
  • Clinical Trials
  • Medical Research Methodology

Background:

  • Medical studies frequently use binary endpoints, often defined by comparing paired measurements (e.g., antibody titers) against a threshold.
  • Sample size calculations for these studies typically rely on comparing proportions derived from dichotomized data.

Purpose of the Study:

  • To derive a sample size formula for paired interval-censored data using the distributional approach.
  • To compare the sample size efficiency of the distributional approach against the conventional dichotomization method for detecting intervention effects.

Main Methods:

  • Developed a sample size formula based on modeling the bivariate cumulative distribution function for paired, interval-censored data.
  • Compared the sample size requirements of the distributional approach with the dichotomization approach in simulated scenarios.

Main Results:

  • The distributional approach provides more precise estimates of proportions compared to dichotomization.
  • The study derived a novel sample size formula applicable to interval-censored paired data.

Conclusions:

  • The distributional approach is a more statistically rigorous and efficient method for sample size calculation in studies with paired, interval-censored data.
  • The derived formula offers practical guidance for sample size determination in such clinical trial settings.