Undergraduate                                                    Graduate

Race, Gender, and Health
Topics include:
  • The epidemiology of population change
  • Healthcare policies and reform
  • Medical research
  • Medicalization
  • Health Inequalities
    • Race and Ethnicity
    • Gender
    • Intersectional
  • Interaction of Biology and Society
  • Fundamental Cause
  • Cumulative Advantage
  • Patients and Practitioners
  • Structure and Agency

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Statistics for Social Scientists
Topics include:
  • Hypothesis construction and testing
  • Types of variables
  • Distribution of variables
  • Manipulating data
  • Central Limit Theorem
  • Estimates and confidence intervals
  • Sampling
  • ANOVA
  • Chi-square
  • Correlation
  • Linear Regression
  • Bivariate Regression
Categorical Data Analysis
Topics include:
  • Linear regression models
  • Logit and probit models 
  • Hypothesis testing and model fit
  • Odds ratio interpretations
  • Average marginal effects and marginal effects at the mean
  • Mediation, moderation, and non-linear terms
  • Ordinal regression models vs. multinomial models
  • Count models (Poisson, Negative Binomial, Zero-Inflated)
  Resources

​Workflow of Data Analysis using Stata
​Topics include:
  • Planning of research
  • Data Management
  • Reproducibility of findings
  • Organizing, backing up, and archiving files
  • Writing robust  programs for data analysis
  • Using automation (basic programming methods) to work more accurately and efficiently
  • Software to increase efficiency

​Resources: