Risk of using logistic regression to illustrate exposure-response relationship of infectious diseases
BMC Infectious DiseasesPublished 4 October 2014Open access
Jinma Ren, Zhen Ning, Carmen S. Kirkness, Carl V. Asche, Huaping Wang
Citations8
SJR quartileQ1
SJR score1.03
SNIP1.16
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TL;DR
It is not suitable to directly use ordinary logistic regression to explore the exposure-response relationship of HIV as an infectious disease, and some recommendations are provided including utilizing categorical exposure if a large sample size and low population prevalence are provided.
Abstract
It is not suitable to directly use ordinary logistic regression to explore the exposure-response relationship of HIV as an infectious disease. This study provides some recommendations for practical implementations including: 1) utilize categorical exposure if a large sample size and low population prevalence are provided; 2) utilize a logarithmic transformed exposure if the sample size is insufficient or the population prevalence is too high (such as 30%).
Keywords
MathematicsMedicine
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