Linear spline multilevel models for summarising childhood growth trajectories: A guide to their application using examples from five birth cohorts

Statistical Methods in Medical Research

Volumn 25, Issue 5, 2016, Pages 1854-1874

  Howe, Laura D ^a   Tilling, Kate ^a   Matijasevich, Alicia ^b   Petherick, Emily S ^c   Santos, Ana Cristina ^d   Fairley, Lesley ^c   Wright, John ^c   Santos, Iná S ^b   Barros, Aluísio J D ^b   Martin, Richard M ^a   Kramer, Michael S ^e   Bogdanovich, Natalia ^f   Matush, Lidia ^f   Barros, Henrique ^d   Lawlor, Debbie A ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b FEDERAL UNIVERSITY OF PELOTAS   (Brazil)

^c BRADFORD TEACHING HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

^d University of Porto   (Portugal)

^e MCGILL UNIVERSITY   (Canada)

^f Ministry of Health Republic of Belarus   (Belarus)

Author keywords

ALSPAC; Born in Bradford; child; Generation XXI; growth; height; longitudinal; multilevel models; Pelotas; PROBIT; spline; weight

Indexed keywords

CHILDHOOD; CLINICAL ARTICLE; CONTROLLED STUDY; DRAWING; ECONOMIC DEVELOPMENT; HEIGHT; HUMAN; MEASUREMENT ERROR; STATISTICAL MODEL; WORKFLOW; BODY HEIGHT; BODY WEIGHT; CHILD; CHILD DEVELOPMENT; COHORT ANALYSIS; FEMALE; INFANT; MALE; NEWBORN; NONLINEAR SYSTEM; PRESCHOOL CHILD;

BODY HEIGHT; BODY WEIGHT; CHILD; CHILD DEVELOPMENT; CHILD, PRESCHOOL; COHORT STUDIES; FEMALE; HUMANS; INFANT; INFANT, NEWBORN; LINEAR MODELS; MALE; NONLINEAR DYNAMICS;

EID: 84989922344     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280213503925     Document Type: Article

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