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Journal of Biometrics & Biostatistics

ISSN: 2155-6180

Open Access

Yirui Hu


Geisinger, Danville, 17821
Tanzania

Publications
  • Research Article
    Simple Power and Sample Size Estimation for Non-Randomized Longitudinal Difference in Differences Studies
    Author(s): Yirui Hu and Hoover DRYirui Hu and Hoover DR

    Intervention effects on continuous longitudinal normal outcomes are often estimated in two-arm pre-post interventional studies with b≥1 pre- and k≥1 post-intervention measures using “Difference-in-Differences” (DD) analysis. Although randomization is preferred, non-randomized designs are often necessary due to practical constraints. Power/sample size estimation methods for non-randomized DD designs that incorporate the correlation structure of repeated measures are needed. We derive Generalized Least Squares (GLS) variance estimate of the intervention effect. For the commonly assumed compound symmetry (CS) correlation structure (where the correlation between all repeated measures is a constantρ) this leads to simple power and sample size estimation formulas that can be implemented using pencil and paper. Given a constrained number of total timepoints (T), .. Read More»

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Citations: 3254

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