Comparison of the Missing-Indicator Method and Conditional Logistic Regression in 1:m Matched Case-Control Studies with Missing Exposure Values

American Journal of Epidemiology

Volumn 159, Issue 6, 2004, Pages 603-610

  Li, Xianbin ^a   Song, Xiaoyan ^b   Gray, Ronald H ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b DEPARTMENT OF PATHOLOGY   (United States)

Author keywords

Case control studies; Epidemiologic methods; Logistic models; Missing data; Regression analysis

Indexed keywords

EPIDEMIOLOGY; METHODOLOGY; REGRESSION ANALYSIS;

ARTICLE; CALCULATION; CASE CONTROL STUDY; COMPARATIVE STUDY; COST; EPIDEMIOLOGICAL DATA; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL ANALYSIS; MEDICAL RESEARCH; METHODOLOGY; MONTE CARLO METHOD; RANDOMIZATION;

BIAS (EPIDEMIOLOGY); CASE-CONTROL STUDIES; CONFIDENCE INTERVALS; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; INFANT, LOW BIRTH WEIGHT; INFANT, NEWBORN; LOGISTIC MODELS; MASSACHUSETTS; MATCHED-PAIR ANALYSIS; MONTE CARLO METHOD; PREGNANCY; PREGNANCY COMPLICATIONS; REGRESSION ANALYSIS;

EID: 1542357657     PISSN: 00029262     EISSN: None     Source Type: Journal    
DOI: 10.1093/aje/kwh075     Document Type: Article

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