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PSM · Biostatistics: multivariable analysis of a binary outcome
Sample itemA researcher wants to measure the independent association of smoking, alcohol use, body mass index and age with the presence or absence of hypertension, and to report adjusted odds ratios. Which technique is most suitable?
Original practice item, not a recalled exam question. Nothing here is recorded.
The answer and the reasoning
B. Multiple logistic regression
When the outcome is binary and several predictors must be adjusted for each other, multiple logistic regression is used and gives adjusted odds ratios. Linear regression needs a continuous outcome. ANOVA compares means across groups.
Option by option
A. Simple linear regression
Simple linear regression has one predictor and cannot adjust for the others.
B. Multiple logistic regression (correct)
Correct. Logistic regression models a binary outcome and yields adjusted odds ratios.
C. Multiple linear regression
Multiple linear regression needs a continuous outcome such as blood pressure in mmHg.
D. One-way analysis of variance
One-way ANOVA compares means of a continuous variable across groups and has no odds ratio.
Source note: Original NextPrep sample item — pending expert review. This item is original practice material awaiting independent expert review, so confirm important facts in a standard textbook.
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