Modelling age-dependent force of infection from prevalence data using fractional polynomials

Statistics in Medicine

Volumn 25, Issue 9, 2006, Pages 1577-1591

  Shkedy, Ziv ^a   Aerts, M ^a   Molenberghs, G ^a   Beutels, Ph ^b   Van Damme, P ^b  

^a HASSELT UNIVERSITY   (Belgium)

^b UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Conventional polynomials; Force of infection; Fractional polynomials; Generalized linear models; Seroprevalence

Indexed keywords

ARTICLE; BELGIUM; BULGARIA; CHICKENPOX; CONFIDENCE INTERVAL; CONTROLLED STUDY; DISEASE SEVERITY; EPIDEMIOLOGICAL DATA; FOLLOW UP; HEPATITIS A; HEPATITIS A VIRUS; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEDICAL LITERATURE; MUMPS; MUMPS VIRUS; PREVALENCE; RUBELLA; RUBELLA VIRUS; SEROPREVALENCE; STATISTICAL ANALYSIS; VARICELLA ZOSTER VIRUS; VIRUS INFECTION;

ADOLESCENT; ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; CHILD; CHILD, PRESCHOOL; COMMUNICABLE DISEASES; HUMANS; INFANT; MIDDLE AGED; MODELS, STATISTICAL; PREVALENCE; SEROEPIDEMIOLOGIC STUDIES; VIRUS DISEASES;

EID: 33646262078     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2291     Document Type: Article

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