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Exploratory Data Analysis For Epidemiology

Kiffer G. Card, PhD, Assistant Professor

Faculty of Health Sciences, Simon Fraser University

Foundations & descriptive analysis

Lessons 01 — 02
L · 01
A Structured Approach to Data AnalysisCausal diagrams, data-collection sheets, coding and entry, file and variable management, and program-mode versus interactive workflows.
Open module
L · 02
Data Cleaning & Descriptive AnalysesData quality assessment, cleaning strategies, handling missing data, descriptive statistics, and visualization for epidemiologic datasets.
Open module

Regression for continuous & categorical outcomes

Lessons 03 — 06
L · 03
Linear RegressionRegression analysis, hypothesis testing, X-variable coding, collinearity detection, and interaction effects.
Open module
L · 04
Model-Building StrategiesPurposeful selection, change-in-estimate, stepwise procedures, and multi-level model building for epidemiologic research.
Open module
L · 05
Logistic RegressionBinary outcomes, odds ratios, maximum likelihood estimation, goodness-of-fit, and ROC analysis.
Open module
L · 06
Ordinal & Multinomial ModelsProportional odds models, multinomial logistic regression, and methods for multi-category outcomes.
Open module

Counts, time, and clusters

Lessons 07 — 12
L · 07
Count & Rate DataPoisson regression, overdispersion, negative binomial models, and zero-adjusted count models.
Open module
L · 08
Survival DataKaplan-Meier estimation, Cox proportional hazards, parametric survival models, and frailty models.
Open module
L · 09
Introduction to Clustered DataHierarchical data structures, ICC, design effects, and methods for handling clustering in epidemiologic analyses.
Open module
L · 10
Mixed Models for Continuous DataRandom intercepts, random slopes, contextual effects, REML estimation, and model diagnostics.
Open module
L · 11
Mixed Models for Discrete DataGLMMs, logistic and Poisson random effects models, SS vs PA interpretation, and estimation methods.
Open module
L · 12
Repeated Measures DataRepeated measures data structures, descriptive and graphical exploration, univariate and multivariate analytic approaches, and growth curve modelling for longitudinal health research.
Open module