Regression models for disease prevalence with diagnostic tests on pools of serum samples

Biometrics

Volumn 56, Issue 4, 2000, Pages 1126-1133

  Vansteelandt, S ^a   Goetghebeur, E ^a   Verstraeten, T ^b  

^a GHENT UNIVERSITY   (Belgium)

^b Kenya National AIDS Control Programme   (Kenya)

Author keywords

Binary data; Confounding; Cost efficiency; Diagnostic screening; Experimental design; Generalized linear models; Group testing; HIV

Indexed keywords

COST EFFECTIVENESS; COST ESTIMATING; COST REDUCTION; EFFICIENCY; LAKES; MAXIMUM LIKELIHOOD ESTIMATION; REGRESSION ANALYSIS; RISK PERCEPTION; SAMPLING;

BINARY DATA; CONFOUNDING; COST-EFFICIENCY; COVARIATES; DIAGNOSTIC SCREENING; DIAGNOSTIC TESTS; GENERALIZED LINEAR MODEL; GROUP TESTING; HIV; REDUCE COSTS;

DIAGNOSIS;

ARTICLE; COST EFFECTIVENESS ANALYSIS; COVARIANCE; DIAGNOSTIC TEST; HUMAN IMMUNODEFICIENCY VIRUS PREVALENCE; MAXIMUM LIKELIHOOD METHOD; POPULATION RISK; PREVALENCE; REGRESSION ANALYSIS; STATISTICAL MODEL;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 0033637403     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.01126.x     Document Type: Article

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