Program, documents and manuscripts for sample size and power calculation for longitudinal studies written by Xavier Basagaņa and Donna Spiegelman
Calculating the minimum number of participants (N) for a fixed number of measurements (r), given pre-specified power; the minimum number of repeated measurements (r) for fixed N, power, and pre-specified study length or time between visits; power for a given (N,r); and the optimal (N,r) subject to power or cost constraints. Compound symmetry, damped exponential, and random slopes covariances are supported.
1. User Manual (in pdf)
2. R program
3. Manuscripts
o
The
Design of Observational Longitudinal Studies (Appendix)
o
Power
and sample size calculations for longitudinal studies estimating a main effect
of a time-varying exposure (Appendix)
o
Power
and sample size calculations for longitudinal studies comparing rates of change
with a time-varying exposure (Appendix)
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| Donna Spiegelman and Xavier Basagana celebrating the successful defense of Xavier's thesis, November 27, 2007 |
Dr. Basagana, HSPH biostatistics faculty Xihong Lin, Donna Spiegelman and David Wypij, and friends and colleagues of Dr. Basagana celebrate Xavier's successful thesis defense, November 27, 2007 |