Design and cost optimization for hierarchical data

Author:

Tokola Kari1,Lundell Andreas2,Nevalainen Jaakko3,Oja Hannu4

Affiliation:

1. School of Health Sciences; University of Tampere; FI-33014 Tampere Finland

2. Optimization and Systems Engineering; Åbo Akademi University; Turku Finland

3. Department of Mathematics and Statistics; University of Turku; Turku Finland

4. School of Health Sciences; University of Tampere; Tampere Finland

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference23 articles.

1. Power and money: designing statistically powerful studies while minimizing financial costs;Allison;Psychological Methods,1997

2. A tutorial on geometric programming;Boyd;Optimization and Engineering,2007

3. Browne , W. J. M. G. Lahi R. M. A. Parker 2009 A guide to sample size calculations for random effect models via simulation and the MLPowSim software package .

4. ML-DEs: a program for designing efficient multilevel studies;Cools;Behavior Research Methods,2008

5. On optimizing multi-level designs: power under budget constraints;Headrick;Australian & New Zealand Journal of Statistics,2005

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