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Related Experiment Videos

Sample size calculation for planning group sequential longitudinal trials.

A Liu1, J M Boyett, X Xiong

  • 1Biostatistics Unit, Lombardi Cancer Center S112, Georgetown University Medical Center, 3800 Reservoir Road NW, Washington, D.C. 20007, USA. liua1@gunet.georgetown.edu

Statistics in Medicine
|January 21, 2000
PubMed
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This study provides methods for calculating sample sizes in group sequential longitudinal trials. These procedures account for diverse correlation structures and use established statistical tests and error spending functions.

Area of Science:

  • Biostatistics
  • Longitudinal Data Analysis
  • Clinical Trial Design

Background:

  • Group sequential methods are crucial for efficient clinical trial design, allowing early stopping for efficacy or futility.
  • Longitudinal studies collect repeated measurements, necessitating methods that account for within-subject correlation.
  • Accurate sample size calculation is essential for ensuring adequate statistical power in longitudinal trials.

Purpose of the Study:

  • To develop and present procedures for sample size determination in group sequential longitudinal trials.
  • To accommodate various correlation structures within the longitudinal data.
  • To integrate established statistical methodologies for hypothesis testing and boundary construction.

Main Methods:

  • Utilizing a test statistic based on generalized estimating equations (GEE).

Related Experiment Videos

  • Implementing group sequential boundaries derived from type I error spending functions (e.g., Lan and DeMets).
  • Developing specific calculation procedures for sample size determination under different correlation assumptions.

    • Main Results:

    • The paper provides explicit formulas and algorithms for sample size calculations.
    • Demonstrates the impact of different correlation structures on required sample size.
    • Offers a practical framework for researchers planning longitudinal studies with interim analyses.

    Conclusions:

    • The developed procedures offer a robust approach to sample size planning for group sequential longitudinal trials.
    • Accurate accounting for correlation structures improves the efficiency and validity of trial design.
    • These methods facilitate statistically sound and resource-efficient clinical research.