Biomarker dynamics: Estimating infection rates from serological data

Statistics in Medicine

Volumn 31, Issue 20, 2012, Pages 2240-2248

  Teunis, P F M ^a,b   van Eijkeren, J C H ^a   Ang, C W ^c   van Duynhoven, Y T H P ^a   Simonsen, J B ^d   Strid, M A ^d   van Pelt, W ^a  

^a NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

^b EMORY UNIVERSITY   (United States)

^c VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^d STATENS SERUM INSTITUT   (Denmark)

Author keywords

Biomarker dynamics; Campylobacter; Serology

Indexed keywords

BIOLOGICAL MARKER; IMMUNOGLOBULIN A; IMMUNOGLOBULIN G; IMMUNOGLOBULIN M;

AGE; ANTIBODY RESPONSE; ANTIBODY TITER; ARTICLE; CAMPYLOBACTER; CAMPYLOBACTERIOSIS; CROSS-SECTIONAL STUDY; DATA ANALYSIS; DISEASE SEVERITY; FOLLOW UP; GEOGRAPHY; INCIDENCE; INFECTION CONTROL; INFECTION RATE; MATHEMATICAL ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; NETHERLANDS; POPULATION RESEARCH; RANDOM SAMPLE; SEROCONVERSION; SEROLOGY; SEX RATIO; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ANTIBODIES, BACTERIAL; BIOLOGICAL MARKERS; CAMPYLOBACTER; CAMPYLOBACTER INFECTIONS; COMPUTER SIMULATION; CROSS-SECTIONAL STUDIES; HUMANS; INCIDENCE; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; SEROEPIDEMIOLOGIC STUDIES;

EID: 84865282136     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5322     Document Type: Article

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