Postgraduate Certificate in Clinical Research Statistics
-- ViewingNowThe Postgraduate Certificate in Clinical Research Statistics is a comprehensive course that equips learners with the essential skills needed to excel in the field of clinical research. This program emphasizes the application of statistical methods to analyze and interpret clinical data, providing a strong foundation for evidence-based decision making in healthcare.
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⢠Basic Statistical Concepts: Descriptive statistics, probability distributions, hypothesis testing, confidence intervals
⢠Regression Analysis: Simple and multiple linear regression, logistic regression, model selection, interpretation of results
⢠Analysis of Variance (ANOVA): One-way and two-way ANOVA, repeated measures ANOVA, factorial designs
⢠Survival Analysis: Kaplan-Meier survival curves, Cox proportional hazards models, competing risks
⢠Clinical Trial Design: Randomized controlled trials, stratified randomization, sample size calculation, intent-to-treat analysis
⢠Epidemiologic Study Design: Cohort studies, case-control studies, cross-sectional studies, bias and confounding
⢠Multivariate Analysis: Principal component analysis, factor analysis, discriminant analysis, cluster analysis
⢠Bayesian Statistics: Bayes' theorem, prior and posterior distributions, Markov chain Monte Carlo methods
⢠Data Management and Visualization: Data cleaning, data transformation, data visualization, exploratory data analysis
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