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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