Muller, Keith E.

GLIMMPSE : Online Power Computation for Linear Models with and without a Baseline Covariate

Kreidler, S. M., Muller, K. E., Grunwald, G. K., Ringham, B. M., Coker-Dukowitz, Z., Sakhadeo, U. R., Baron, A. E., & Glueck, D. H. (2013) · Journal of Statistical Software

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 399

Adaptive trial designs: a review of barriers and opportunities

Kairalla, J. A., Coffey, C. S., Thomann, M. A., & Muller, K. E. (2012) · Trials

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 249

Power Calculations for General Linear Multivariate Models Including Repeated Measures Applications

Muller, K. E., Lavange, L. M., Ramey, S. L., & Ramey, C. T. (1992) · Journal of the American Statistical Association

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 230

Approximate Power for Repeated-Measures ANOVA Lacking Sphericity

Muller, K. E., & Barton, C. N. (1989) · Journal of the American Statistical Association

Statistical Methods and Bayesian InferenceProbability and Statistical Research

Cited by 177

Practical methods for computing power in testing the multivariate general linear hypothesis

Muller, K. E., & Peterson, B. L. (1984) · Computational Statistics & Data Analysis

Statistical Methods and ApplicationsAdvanced Statistical Methods and Models

Cited by 95

A power approximation for the Kenward and Roger Wald test in the linear mixed model

Kreidler, S. M., Ringham, B. M., Muller, K. E., & Glueck, D. H. (2021) · PLOS ONE

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 9