Undergraduate Certificate in Statistical Techniques for Pharmacy
-- ViewingNowThe Undergraduate Certificate in Statistical Techniques for Pharmacy is a compact, career-oriented program that equips learners with essential statistical skills crucial for success in the pharmaceutical industry. This course is designed to meet the industry's growing demand for professionals who can analyze and interpret complex pharmacy data, driving informed decision-making and innovation.
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⢠Descriptive Statistics: Data exploration, measures of central tendency, dispersion, and association.
⢠Probability Theory: Conditional probability, Bayes' theorem, random variables, and probability distributions.
⢠Inferential Statistics: Hypothesis testing, confidence intervals, and statistical significance.
⢠Regression Analysis: Simple and multiple linear regression, model selection, and diagnostics.
⢠Experimental Design: Study types, randomization, replication, and blocking.
⢠Analysis of Variance (ANOVA): One-way and two-way ANOVA, factorial designs, and repeated measures.
⢠Multivariate Analysis: Principal component analysis, factor analysis, and discriminant analysis.
⢠Survival Analysis: Kaplan-Meier estimator, Cox proportional hazards model, and life-table analysis.
⢠Non-parametric Statistics: Rank-based tests, sign tests, and bootstrapping.
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