Certificate in Biostatistics: Smart Insights
-- ViewingNowThe Certificate in Biostatistics: Smart Insights is a comprehensive course designed to equip learners with essential skills in biostatistics. This program is crucial in today's data-driven world, where there's an increasing demand for professionals who can interpret and analyze health data to make informed decisions.
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โข Introduction to Biostatistics: Basic concepts, terminology, and applications in public health and medicine.
โข Descriptive Statistics: Measures of central tendency, dispersion, and association. Data visualization using graphs and charts.
โข Probability Theory: Definitions, axioms, and basic principles. Conditional probability, Bayes' theorem, and independence.
โข Statistical Inference: Hypothesis testing, confidence intervals, and p-values. Types of errors and their implications.
โข Parametric Statistical Methods: T-tests, ANOVA, and linear regression. Assumptions, limitations, and applications.
โข Nonparametric Statistical Methods: Mann-Whitney U test, Wilcoxon signed-rank test, and Kruskal-Wallis test. When to use nonparametric methods and their interpretations.
โข Survival Analysis: Kaplan-Meier curves, Cox proportional hazards models, and competing risks. Applications in clinical trials and epidemiological studies.
โข Multivariate Analysis: Factor analysis, cluster analysis, and multiple regression. Identifying patterns and relationships in complex datasets.
โข Sample Size Calculations: Power analysis, type I and type II errors, and confidence intervals. Planning and designing studies with adequate statistical power.
โข Data Management and Ethics: Data quality, confidentiality, and informed consent. Good clinical and research practices in biostatistics.
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