Design Issues for Experiments in Multilevel Populations

By Mirjam Moerbeek, G. V. van Breukelen, Martijn P. F. Berger. 2000

156 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4647f9ded23c2e51af6e3beca6381054353ee768

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Xiaofeng Steven Liu
2. S. Eldridge
3. A. Copas
4. C. Rutterford
5. C. Rietbergen
6. Mirjam Moerbeek
7. S. Berlinski
8. Matias Busso

In Statistics and Probability

1. Xiaofeng Steven Liu
2. A. Copas
3. S. Eldridge
4. C. Rutterford
5. C. Rietbergen
6. Mirjam Moerbeek
7. G. V. van Breukelen
8. S. Berlinski

Citations in the corpus

• Optimal experimental designs for multilevel logistic models (2001, background): “For experiments in multilevel populations with continuous responses, optimal sample sizes have been studied analytically by Donner et al. (1981), Hsieh (1988), Shih (1997), Liu and Liang (1997), Snijders and Bosker (1993), Raudenbush (1997) and Moerbeek et al. (1999, 2000).”
• The Design of Cluster Randomized Crossover Trials (2011, methodology): “Concerning CR trials without CO, Murray and Short (1997); Murray, Phillips, Birnbaum, and Lytle (2001); Campbell, Mollison, and Grimshaw (2001); Murray et al.”
• Methods for sample size determination in cluster randomized trials (2015, methodology): “Following Raudenbush,(76) optimization of the sample sizes at each level can be performed based upon cost constraints.(101,102)”
• Statistical Power and Optimum Sample Allocation Ratio for Treatment and Control Having Unequal Costs per Unit of Randomization (2003, methodology): “The optimal number of sites J* for a balanced design can be expressed in terms of the average cost c– (Raudenbush & Liu, 2000, Equation 28; Moerbeek et al., 2000, Table 2).”