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INFORMATION FOR

Software for study design/power calculation

  • ge_int.f: Implementing Foppa I and Spiegelman D. Power and sample size calculations for case-control studies of gene-environment interactions with a polytomous exposure variable. American Journal of Epidemiology 1997; 146:596-604.
  • ge_trend_v2: Implementing power and sample size calculations developed in Spiegelman D and Logan R. Power and sample size for case-control studies of gene-environment interactions: a new method with comparison to old. Submitted for publication, American Journal of Epidemiology, January, 2002.
  • holcroft.f77: Implementing Holcroft C, Spiegelman D. Design of validation studies for estimating the odds ratio of exposure-disease relationships when exposure is misclassified. Biometrics, 1999; 55:1193-1201.
  • OPTITXS.r: Implementing sample size and power calculations for longitudinal (repeated measures) studies method in The Design of Observational Longitudinal Studies.
  • swdpwr: Implementing power calculations for stepped wedge cluster randomized trials. Binary and continuous outcomes, and cross-sectional and cohort designs are included. For further information, please refer to: 1) Zhou X, Liao X, Kunz LM, Normand ST, Wang M, Spiegelman D. A maximum likelihood approach to power calculations for stepped wedge designs of binary outcomes. Biostatistics. 2020;21(1):102‐121. 2) Li F, Turner EL, Preisser JS. Sample size determination for GEE analyses of stepped wedge cluster randomized trials. Biometrics. 2018;74(4):1450-1458.