Apa yang akan saya pelajari?
The Graduate Certificate in Biostatistics Essentials provides the groundworks for developing new statistical methods, as well as applying existing techniques, to interpret data about the medical and life sciences Biostatistics is because it is used widely in the pharmaceutical industry, the health-care industry and in medical schools.The certificate allows the students to focus and dig deep into this specific topic, and start applying your knowledge sooner. Earn this certificate on our NJIT Newark campus. And you’ll learn from NJIT’s distinguished professors and instructors. 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.
