References
- Amatya, A., Bhaumik, D., and Gibbons, R. D. (2013), “Sample Size Determination for Clustered Count Data,” Statistics in Medicine, 32, 4162–4179. DOI: 10.1002/sim.5819.
- Cox, D. R. (1983), “Some Remarks on Overdispersion,” Biometrika, 70, 269–274. DOI: 10.1093/biomet/70.1.269.
- Dean, C. B. (1992), “Testing for Overdispersion in Poisson and Binomial Regression Models,” Journal of the American Statistical Association, 87, 451–457. DOI: 10.1080/01621459.1992.10475225.
- Erhardt, V., and Czado, C. (2010), “A Method for Approximately Sampling High-Dimensional Count Variables With Pre-Specified Pearson Correlation,” Technical Report.
- Garcia, H. H., Pretell, E. J., Gilman, R. H., Martinez, S. M., Moulton, L. H., Del Brutto, O. H., Herrera, G., Evans, C. A., and Gonzalez, A. E. (2004), “A Trial of Antiparasitic Treatment to Reduce the Rate of Seizures Due to Cerebral Cysticercosis,” New England Journal of Medicine, 350, 249–258. DOI: 10.1056/NEJMoa031294.
- Liang, K.-Y., and Zeger, S. L. (1986), “Longitudinal Data Analysis Using Generalized Linear Models,” Biometrika, 73, 13–22. DOI: 10.1093/biomet/73.1.13.
- Liu, H., and Wu, T. (2008), “Sample Size Calculation and Power Analysis of Changes in Mean Response Over Time,” Communications in Statistics—Simulation and Computation, 37, 1785–1798. DOI: 10.1080/03610910802178380.
- Lou, Y., Cao, J., Zhang, S., and Ahn, C. (2017), “Sample Size Estimation for a Two-Group Comparison of Repeated Count Outcomes Using GEE,” Communications in Statistics—Theory and Methods, 46, 6743–6753. DOI: 10.1080/03610926.2015.1134572.
- Ogungbenro, K., and Aarons, L. (2010), “Sample Size/Power Calculations for Population Pharmacodynamic Experiments Involving Repeated-Count Measurements,” Journal of Biopharmaceutical Statistics, 20, 1026–1042. DOI: 10.1080/10543401003619205.
- Patel, H. I., and Rowe, E. (1999), “Sample Size for Comparing Linear Growth Curves,” Journal of Biopharmaceutical Statistics, 9, 339–350. DOI: 10.1081/BIP-100101180.
- Rochon, J. (1998), “Application of GEE Procedures for Sample Size Calculations in Repeated Measures Experiments,” Statistics in Medicine, 17, 1643–1658.
- Tang, Y. (2015), “Sample Size Estimation for Negative Binomial Regression Comparing Rates of Recurrent Events With Unequal Follow-Up Time,” Journal of Biopharmaceutical Statistics, 25, 1100–1113. DOI: 10.1080/10543406.2014.971167.
- Thall, P. F., and Vail, S. C. (1990), “Some Covariance Models for Longitudinal Count Data With Overdispersion,” Biometrics, 46, 657–671.
- Thanarajasingam, G., Atherton, P. J., Novotny, P. J., Loprinzi, C. L., Sloan, J. A. and Grothey, A. (2016), “Longitudinal Adverse Event Assessment in oncology Clinical Trials: The Toxicity Over Time (ToxT) Analysis of Alliance Trials NCCTG N9741 and 979254,” The Lancet Oncology, 17, 663–670. DOI: 10.1016/S1470-2045(16)00038-3.
- Zeileis, A., Kleiber, C., and Jackman, S. (2008), “Regression Models for Count Data in R,” Journal of Statistical Software, 27, 1–25.
- Zhang, S., and Ahn, C. (2012), “Sample Size Calculation for Time-Averaged Differences in the Presence of Missing Data,” Contemporary Clinical Trials, 33, 550–556.
- Zhu, H., and Lakkis, H. (2014), “Sample Size Calculation for Comparing Two Negative Binomial Rates,” Statistics in Medicine, 33, 376– 387. DOI: 10.1002/sim.5947.