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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.

Publisher: Oxford University Press

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Volume 4, Number 3, 1 July 2003

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Article
The compliance score as a regressor in randomized trials

pp. 327-340(14)
Authors: Joffe M.M.; Have T.R.T.; Brensinger C.

Article
Transformations of covariates for longitudinal data

pp. 353-364(12)
Authors: Thompson W.K.; Xie M.; White H.R.

Article
Scaled marginal models for multiple continuous outcomes

pp. 371-383(13)
Authors: Roy J.; Lin X.; Ryan L.M.

Article
A Bayesian approach to disease gene location using allelic association

pp. 399-409(11)
Authors: Denham M.C.; Whittaker J.C.

Article
The theory of case-control studies for early detection programs

pp. 411-421(11)
Authors: Davidov O.; Zelen M.

Article
A data-analytic strategy for protein biomarker discovery: profiling of high-dimensional proteomic data for cancer detection

pp. 449-463(15)
Authors: Feng Z.; Yasui Y.; Pepe M.; Thompson M.L.; Adam B-L.; Wright G.L.; Qu Y.; Potter J.D.; Winget M.; Thornquist M.

Article
The efficiency of pooling mRNA in microarray experiments

pp. 465-477(13)
Authors: Kendziorski C.M.; Zhang Y.; Lan H.; Attie A.D.

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