Understanding logistic regression analysis through example

J W Ely; J D Dawson; D R Mehr; T L Burns

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Understanding logistic regression analysis through example

Journal article

Peer reviewed

Understanding logistic regression analysis through example

J W Ely, J D Dawson, D R Mehr and T L Burns

Family medicine, Vol.28(2), pp.134-140

02/1996

PMID: 8932495

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Abstract

Logistic regression is a valuable statistical tool that is often used in primary care research. When researchers explore the association between a possible risk factor and a disease, they attempt to control the effects of extraneous factors (confounders) that can obscure the true association. Using logistic regression, researchers can simultaneously control for the effects of multiple confounders. When investigators use logistic regression, they make subjective decisions about which factors to include in the analysis and in the final predictive model. Critical readers must understand basic concepts of logistic regression and potential problems with its use before they can accurately interpret study results. This article uses a familiar example to explain the principles of logistic regression to make it understandable to nonstatisticians.

Coffee - adverse effects

Coronary Disease - epidemiology

Coronary Disease - etiology

Data Interpretation, Statistical

Family Practice - education

Humans

Models, Statistical

Primary Health Care - statistics & numerical data

Regression Analysis

Risk

Details

Title: Subtitle: Understanding logistic regression analysis through example
Creators: J W Ely - Department of Family Practice, University of Iowa Hospitals and Clinics, Iowa City, USA
J D Dawson
D R Mehr
T L Burns
Resource Type: Journal article
Publication Details: Family medicine, Vol.28(2), pp.134-140
PMID: 8932495
NLM abbreviation: Fam Med
ISSN: 0742-3225
eISSN: 1938-3800
Publisher: Society of Teachers of Family Medicine
Language: English
Date published: 02/1996
Academic Unit: Public Health Administration; Epidemiology; Biostatistics; Family and Community Medicine; Fraternal Order of Eagles Diabetes Research Center
Record Identifier: 9984214848702771

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