Moerbeek M., Teerenstra S. Power analysis of trials with multilevel data

Boca Raton: CRC Press, 2015. — 281 p.Experimentation
Hierarchical data structures
Research design
Power analysis for experimental research
Aim and contents of the book
Multilevel statistical models
The basic two-level model
Estimation and hypothesis test Intraclass correlation coefficient
Multilevel models for dichotomous outcomes
More than two levels of nesting
Software for multilevel analysis
Concepts of statistical power analysis
Background of power analysis
Types of power analysis
Timing of power analysis
Methods for power analysis
Robustness of power and sample size calculations
Procedure for a priori power analysis
The optimal design of experiments
Sample size and precision analysis
Sample size and accuracy of parameter estimates
Cluster randomized trials Introduction
Multilevel model
Sample size calculations for continuous outcomes
Sample size calculations for dichotomous outcomes
An example Improving statistical power in cluster randomized trials
Inclusion of covariates
Minimization, matching, pre-stratification
Taking repeated measurements
Crossover in cluster randomized trials
Stepped wedge designs
Multisite trials Introduction
Multilevel model
Sample size calculations for continuous outcomes
Sample size calculations for dichotomous outcomes
An example
Pseudo cluster randomized trialsMultilevel model
Sample size calculations for continuous outcomes
Sample size calculations for binary outcomes
An example Individually randomized group treatment trialsMultilevel model
Sample size calculations for continuous outcomes
Sample size calculations for dichotomous outcomes
An example
Longitudinal intervention studies Introduction
Multilevel model
Sample size calculations for continuous outcomes
Sample size calculations for dichotomous outcomes
The effect of drop-out on statistical power
An example
Extensions: three levels of nesting and factorial designs Introduction
Three-level cluster randomized trials
Multisite cluster randomized trials
Repeated measures in cluster randomized trials and multisite trials
Factorial designs
The problem of unknown intraclass correlation coefficients
Estimates from previous research
Sample size re-estimation
Bayesian sample size calculation
Maximin optimal designs
Computer software for power calculations Introduction
Computer program SPA-MLAuthor Index
Subject Index