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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.
Longitudinal DataCausal InferenceVariable SelectionSurvival AnalysisFalse Discovery RateProportional Hazards ModelMeasurement ErrorMissing DataMarkov Chain Monte CarloRandom EffectsClinical TrialsBayesian InferenceGenome-wide AssociationMaximum LikelihoodFunctional Data AnalysisCase-Control StudiesGENERALIZED ESTIMATING EQUATIONSInverse Probability WeightingCensored DataTreatment Effects
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