Careful use of pseudo R-squared measures in epidemiological studies

Statistics in Medicine

Volumn 24, Issue 18, 2005, Pages 2867-2872

  Heinzl, Harald ^a   Waldhör, Thomas ^a   Mittlböck, Martina ^a  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

Bernoulli outcome variable; Binomial outcome variable; Logistic regression model; Poisson regression model; Predictive accuracy; Pseudo R squared measure

Indexed keywords

ARTICLE; AUSTRIA; BIRTH RATE; COMPUTER PROGRAM; CONTROLLED STUDY; EPIDEMIOLOGICAL DATA; FEMALE; GEOGRAPHIC DISTRIBUTION; HUMAN; INFANT; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; NEWBORN; POISSON DISTRIBUTION; POPULATION DISTRIBUTION; POPULATION RESEARCH; PROBABILITY; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STILLBIRTH;

ADULT; AUSTRIA; BIOMETRY; DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; MALE; MATERNAL AGE; MODELS, STATISTICAL; PREGNANCY; REGRESSION ANALYSIS; RISK FACTORS; STILLBIRTH;

EID: 25444478063     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2168     Document Type: Article

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