Undergraduate Certificate in Statistical Techniques for Health Sciences
-- ViewingNowThe Undergraduate Certificate in Statistical Techniques for Health Sciences is a vital course that equips learners with essential skills in biostatistics. This program is designed to meet the growing industry demand for health professionals with strong statistical analysis skills.
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⢠Descriptive Statistics: Measures of central tendency, dispersion, and association; data visualization using graphs and charts.
⢠Probability Theory: Concepts of probability, conditional probability, and Bayes' theorem; discrete and continuous random variables.
⢠Inferential Statistics: Hypothesis testing, confidence intervals, and p-values; t-tests, ANOVA, and chi-square tests.
⢠Linear Regression: Simple and multiple regression models; testing assumptions, residual analysis, and model selection.
⢠Logistic Regression: Binary and multinomial logistic regression models; odds ratios and confidence intervals.
⢠Survival Analysis: Kaplan-Meier curves, Cox proportional hazards models, and competing risks.
⢠Multivariate Analysis: Factor analysis, cluster analysis, and discriminant analysis; interpreting results and making inferences.
⢠Experimental Design: Randomized controlled trials, observational studies, and quasi-experimental designs; bias, confounding, and effect modification.
⢠Sampling Methods: Probability and non-probability sampling techniques; sample size calculation and power analysis.
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