References
- Ahn, C., Heo, M., Zhang, S. (2015). Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research. New York: Chapman & Hall.
- Crowder, M. (1995). On the use of a working correlation matrix in using generalised linear models for repeated measures. Biometrika 82:407–410.
- Diggle, P., Heagerty, P., Liang, K., Zeger, S. (2002). Analysis of Longitudinal Data (2nd ed.). Oxford, UK: Oxford University Press.
- Erhardt, V., Czado, C. (2009). Sampling count variables with specified pearson correlation: A comparison between a naive and a c-vine sampling approach. In Kurowicka, D., Joe, H. eds., Dependence Modeling: Vine Copula Handbook (pp. 73–87). Singapore: World Scientific.
- Freidlin, B., Korn, E., Gray, R., Martin, A. (2008). Multi-arm clinical trials of new agents: Some design considerations. Clin. Cancer Res. 14:4368–4371.
- Jung, S., Ahn, C. (2003). Sample size estimation for GEE method for comparing slopes in repeated measurements data. Stat. Med. 22(8):1305–1315.
- Jung, S., Ahn, C. (2004). K-sample test and sample size calculation for comparing slopes in data with repeated measurements. Biometrical J. 46(5):554–564.
- Jung, S., Ahn, C. (2005). Sample size for repeated binary measurements using GEE. Stat. Med. 24:2583–2596.
- Liang, K., Zeger, S. (1986). Longitudinal data analysis using generalized linear models. Biometrika 73(1):13–22.
- Liu, P., Dahlberg, S. (1995). Design and analysis of multiarm clinical trials with survival endpoints. Controlled Clin. Trials 16:119–130.
- Lou, Y., Cao, J., Zhang, S., Ahn, C. (2017). Sample size estimation for a two-group comparison of repeated count outcomes using GEE. Commun. Stat. Theory Methods 46:6743–6753.
- McDonald, B. (1993). Estimating logistic regression parameters for bivariate binary data. J. Royal Stat. Soc. Ser. B 55:391–397.
- Ogungbenro, K., Aarons, L. (2010). Sample size/power calculations for population pharmacodynamic experiments involving repeated-count measurements. J. Biopharm. Stat. 20(5):1026–1042.
- Patel, H., Rowe, E. (1999). Sample size for comparing linear growth curves. J. Biopharm. Stat. 9(2):339–350.
- Thall, P.F., Vail, S.C. (1990). Some covariance models for longitudinal count data with overdispersion. Biometrics 46:657–671.
- Tilley, B., Alarcon, G., Heyse, S., Trentham, D., Neuner, R., Kaplan, D., Clegg, D., Leisen, J., Buckley, L., Cooper, S., Duncan, H., Pillemer, S., Tuttleman, M., Fowler, S. (1995). Minocycline in rheumatoid-arthritis: A 48-week, double-blind, placebo-controlled trial. Ann. Intern. Med. 122(2):81–89.
- Zhang, S., Ahn, C. (2010). Effects of correlation and missing data on sample size estimation in longitudinal clinical trials. Pharm. Stat. 9(1):2–9.
- Zhang, S., Ahn, C. (2013). Sample size calculation for comparing time-averaged responses in k-group repeated measurement studies. Comput. Stat. Data Anal. 58:283–291.