Biostatistics is important because it is used widely in the pharmaceutical industry, the health-care industry and in medical schools. Most biostatisticians work in a university, a healthcare field, a research institution or pharmaceutical firm. By using sophisticated software and statistical methods, they study the factors that affect human health. They also provide advice on how to use statistics to design and analyze studies.
Statistical techniques with emphasis on applications in health related sciences, summarizing and displaying data; basic probability and inference; Bayes' theorem and its application in diagonostic testing; estimation, confidence intervals, and hypothesis testing for means and proportions; contingency tables; regression and analysis of variance; logistic regression and survival analysis; basic epidemiologic tools; use of statistical software.
Different sampling methods, simple random sampling, stratified sampling, ratio and regression estimates, cluster sampling, systematic sampling.
Statistical methods and issues in the design of clinical trials and analysis of their data, which include clinical trial designs for phases 1-4, randomization principle and procedures, analysis of pharmacokinetic data for bioequivalence, multi-center trials, categorical data analysis, survival analysis, longitudinal data analysis, interim analysis, estimation of sample size and power, adjustment for multiplicity, evaluation of adverse events, and regulatory overview.
Modeling time-to-event data in the presence of censoring and truncation, with emphasis on applications to the health sciences, including survival and hazard functions, censoring and truncation, parametric and nonparametric models for survival data, competing-risks, regression models including Cox proportional hazards model and time-dependent covariates, one and two sample tests, and use of appropriate statistical software for computations.
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