Among the important scientific developments of the 20th century is the explosive growth in statistical reasoning and methods for application to studies of human health. Examples include developments in likelihood methods for inference, epidemiologic statistics, clinical trials, survival analysis, and statistical genetics. Substantive problems in public health and biomedical research have fueled the development of statistical methods, which in turn have improved our ability to draw valid inferences from data. The objective of Biostatistics is to advance statistical science and its application to problems of human health and disease, with the ultimate goal of advancing the public's health.
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Conlon, Anna S., Jeremy M. G. Taylor, and Michael R. Elliott. 2014. "Surrogacy assessment using principal stratification when surrogate and outcome measures are multivariate normal." Biostatistics, 15(2): 266-283. PMCID: PMC4023321.
Elliott, Michael R., Trivellore Raghunathan, and Y. Li. 2010. "Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes." Biostatistics, 11(2): 353-372. PMCID: PMC2830580.