Missing data in the 2 × 2 table: Patterns and likelihood-based analysis for cross-sectional studies with supplemental sampling

Statistics in Medicine

Volumn 22, Issue 4, 2003, Pages 517-534

  Lyles, Robert H ^a   Allen, Andrew S ^a,b  

^a EMORY UNIVERSITY   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Bias; Non ignorable missingness; Odds ratio; Relative risk; Study design

Indexed keywords

ANALYTIC METHOD; ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CANCER EPIDEMIOLOGY; CONTROLLED STUDY; EPIDEMIOLOGICAL DATA; FEMALE; GENERAL ASPECTS OF DISEASE; GENITAL TRACT CANCER; HEALTH SURVEY; HUMAN; INFORMATION PROCESSING; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MELANOMA; OVARY CANCER; PROBABILITY; PROSTATE CANCER; RISK ASSESSMENT; SEX DIFFERENCE; STATISTICAL ANALYSIS; VALIDATION PROCESS;

BIAS (EPIDEMIOLOGY); CROSS-SECTIONAL STUDIES; DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; ODDS RATIO; RESEARCH DESIGN; RISK; SAMPLING STUDIES; UNITED STATES;

EID: 0037470259     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1348     Document Type: Article

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