Cheung YB, Jeffries D, Thomson A and Milligan P (2008). A simple approach to test for interaction between intervention and an individual-level variable in community randomized trials. Tropical Medicine and International Health, 13: 247-255.
Davidian M (2009). Non-linear mixed effect models in Longitudinal Data Analysis. G Fitzmaurice, Editor. Chapman & Hall/CRC. p. 107-142.
Frost C, Kenward MG, Fox NC (2008). Optimizing the design of clinical trials where the outcome is a rate. Can estimating a baseline rate in a run-in period increase efficiency? Statistics in Medicine, 27: 3717-3731.
Hayes RJ and Bennett S (1999). Simple sample size calculation for cluster-randomized trials. International Journal of Epidemiology, 28: 319-326.
Hayes RJ and Moulton LH (2009). Cluster randomised trials. Boca Raton: Chapman & Hall/CRC.
Jones B and Kenward MG (1989, 2003). Design and Analysis of Cross-over Trials. London: Chapman &/CRC Hall.
Kenward MG and Roger JH (1997). Small sample inference for fixed effects estimators from restricted maximum likelihood. Biometrics, 53: 983-997.
Kenward MG and Roger JH (2009). An improved approximation to the precision of fixed effects from restricted maximum likelihood. Computational Statistics and Data Analysis, 53: 2583-2595.
Kenward MG and Roger JH (2010) The use of baseline covariates in cross-over studies. Biostatistics, 11: 1-17.
Liang, K-Y and Zeger SL (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73(1): 13–22.
Muthen B and Shedden K (1999). Finite mixture modelling with mixture outcomes using the EM algorithm. Biometrics, 55: 463-469.
Nagin DS (1999). Analysing developmental trajectories: a semi-parametric, group-based approach. Psychol Meth, 4: 139-157.
Schott JM, Frost C, Whitwell JL, MacManus DG, Boyes RG, Rossor MN, Fox NC (2006). Combining short interval MRI in Alzheimer’s disease: Implications for therapeutic trials. Journal of Neurology, 253: 1147-1153.
Senn, S. (1993, 2002). Cross-over Trials in Clinical Research. Chichester: Wiley.
Silverwood RJ, De Stavola BL, Cole TJ, Leon DA (2009). BMI peak in infancy as a predictor for later BMI in the Uppsala Family Study. Int J Obes (Lond) : 33, 929–937.
Skene S and Kenward MG (2010). The analysis of very small samples of repeated measurements. I: An adjusted sandwich estimator. Statistics in Medicine, 29, 2825-2837.
Skene S and Kenward MG (2010). The analysis of very small samples of repeated measurements. II: A modified Box correction. Statistics in Medicine, 29, 2838-2856.
Verbyla AP et al. (1999). The analysis of designed experiments and longitudinal data using smoothing splines (with discussion). Applied Statistics, 48: 269-312.
Verbeke G, Molenberghs G (2000). Linear mixed models for longitudinal data. New York: Springer.
Welham SJ (2009). Smoothing spline models for longitudinal data, in Longitudinal Data Analysis, G Fitzmaurice, Editor. Chapman & Hall/CRC. p. 253-290.