Undergraduate Certificate in Statistical Methods for Health Research
-- ViewingNowThe Undergraduate Certificate in Statistical Methods for Health Research is a comprehensive program designed to equip learners with essential skills in health data analysis. This course is crucial in today's data-driven world, where there's an increasing demand for healthcare professionals who can interpret and apply statistical methods to health research.
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โข Introduction to Statistical Methods: Basic concepts, types of data, data collection methods, and data description techniques.
โข Descriptive Statistics: Measures of central tendency, dispersion, and association, data visualization, and interpretation of results.
โข Probability Theory: Concepts of probability, conditional probability, and independence, probability distributions, and random variables.
โข Inferential Statistics: Estimation, hypothesis testing, statistical significance, and confidence intervals.
โข Regression Analysis: Simple and multiple linear regression models, model assumptions, and diagnostic measures.
โข Analysis of Variance (ANOVA): One-way and two-way ANOVA models, factorial designs, and post-hoc tests.
โข Logistic Regression: Binary and multinomial logistic regression models, odds ratios, and interpretation of results.
โข Survival Analysis: Kaplan-Meier survival curves, Cox proportional hazards models, and analysis of survival data.
โข Multivariate Analysis: Principal component analysis, factor analysis, and cluster analysis.
โข Statistical Software for Health Research: Overview of SAS, SPSS, Stata, and R, and application in health research.
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