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Evaluation of the type I error rate when using parametric bootstrap analysis of a cluster randomized controlled trial with binary outcomes and a small number of clusters
Golzarri-Arroyo, Lilian, Dickinson, Stephanie L., Jamshidi-Naeini, Yasaman, Zoh, Roger S., Brown, Andrew W., Owora, Arthur H., Li, Peng, Oakes, J. Michael, Allison, David B.
Published in Computer methods and programs in biomedicine (01.03.2022)
Published in Computer methods and programs in biomedicine (01.03.2022)
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The effect of number of clusters and cluster size on statistical power and Type I error rates when testing random effects variance components in multilevel linear and logistic regression models
Austin, Peter C., Leckie, George
Published in Journal of statistical computation and simulation (02.11.2018)
Published in Journal of statistical computation and simulation (02.11.2018)
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Cluster Lot Quality Assurance Sampling: Effect of Increasing the Number of Clusters on Classification Precision and Operational Feasibility
Okayasu, Hiromasa, Brown, Alexandra E., Nzioki, Michael M., Gasasira, Alex N., Takane, Marina, Mkanda, Pascal, Wassilak, Steven G. F., Sutter, Roland W.
Published in The Journal of infectious diseases (01.11.2014)
Published in The Journal of infectious diseases (01.11.2014)
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Effect of imbalance and intracluster correlation coefficient in cluster randomization trials with binary outcomes when the available number of clusters is fixed in advance
Ahn, Chul, Hu, Fan, Skinner, Celette Sugg, Ahn, Daniel
Published in Contemporary clinical trials (01.07.2009)
Published in Contemporary clinical trials (01.07.2009)
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Unsupervised Clustering on Signed Graphs with Unknown Number of Clusters
Dittrich, Thomas, Matz, Gerald
Published in 2020 28th European Signal Processing Conference (EUSIPCO) (24.01.2021)
Published in 2020 28th European Signal Processing Conference (EUSIPCO) (24.01.2021)
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