Question: A cross-sectional study was conducted looking at the relationship between a person's region of residence (Northeast, South, Midwest, etc.) and whether or not they have

A cross-sectional study was conducted looking at the relationship between a person's region of residence (Northeast, South, Midwest, etc.) and whether or not they have experienced a stroke. Since it is an observational study, we would like to control for possible confounders, including the subject's age, sex, and race. What test would be appropriate?

Break the situation down into the components for choosing a statistical test.

  • dependent variable?
  • dependent variable?
  • independent variable(s)?
  • type(s) of independent variable(s)?
  • What are other things that could affect the statistical analysis?
  • Which one of the following statistical analysis would you use?

One-sample t-test

Paired t-test

Two-sample t-test

ANOVA

Chi-square test

Simple linear regression

General linear model

Logistic regression

Wilcoxon rank-sum test

Kruskal-Wallis test

Spearman correlation

Fisher's exact test

Log-rank test

Cox proportional hazards model

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