Prediction of hemoglobin in blood donors using a latent class mixed-effects transition model

Statistics in Medicine

Volumn 35, Issue 4, 2016, Pages 581-594

  Nasserinejad, Kazem ^a   Rosmalen, Joost van ^a   de Kort, Wim ^b,c   Rizopoulos, Dimitris ^a   Lesaffre, Emmanuel ^a,d  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b SANQUIN RESEARCH   (Netherlands)

^c ACADEMIC MEDICAL CENTER   (Netherlands)

^d KU LEUVEN   (Belgium)

Author keywords

Blood donation; Change point model; Latent class; Mixed effects model; Transition model

Indexed keywords

HEMOGLOBIN; IRON;

ADULT; AGE DISTRIBUTION; ARTICLE; BAYES THEOREM; BLOOD DONOR; BODY MASS; CHANGE POINT MODEL; FEMALE; HEMOGLOBIN BLOOD LEVEL; HEMOGLOBIN DETERMINATION; HUMAN; LATENT CLASS MIXED-EFFECTS MODEL; LATENT CLASS MIXED-EFFECTS TRANSITION MODEL; LONGITUDINAL STUDY; MALE; MIDDLE AGED; MIXED-EFFECTS MODEL; PATIENT IDENTIFICATION; PREDICTION; PROBABILITY; SEASONAL VARIATION; SEX DIFFERENCE; SIMULATION; STATISTICAL MODEL; YOUNG ADULT; BLOOD BANK; DONOR SELECTION; NETHERLANDS; PREDICTIVE VALUE; SEASON; STANDARDS; STATISTICS AND NUMERICAL DATA;

ADULT; BAYES THEOREM; BLOOD BANKS; BLOOD DONORS; DONOR SELECTION; FEMALE; HEMOGLOBINS; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; NETHERLANDS; PREDICTIVE VALUE OF TESTS; SEASONS; SEX FACTORS;

EID: 84959343931     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6759     Document Type: Article

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