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Please use this identifier to cite or link to this item: http://hdl.handle.net/1903/12043

Title: SEMIPARAMETRIC AND NONPARAMETRIC ANALYSIS FOR LONGITUDINAL DATA ON THE RELATIONSHIP BETWEEN CHILDHOOD EXTERNALIZING BEHAVIOR AND BODY MASS INDEX
Authors: Wang, Kejia
Advisors: He, Xin
Department/Program: Epidemiology and Biostatistics
Type: Thesis
Sponsors: Digital Repository at the University of Maryland
University of Maryland (College Park, Md.)
Subjects: Biostatistics
Epistemology
Statistics
Keywords: Body mass index
externalizing behavior
longitudinal
Nonparametric
Semiparametric
time-varying coefficient
Issue Date: 2011
Abstract: <italic>This thesis is an extension of the longitudinal data analysis of the association between externalizing behavior in early childhood and body mass index (BMI) from age 2 to 12 years conducted in Anderson et al. (2010). Externalizing behaviors problems are characterized by aggressive, oppositional, disruptive, or inattentive behaviors beyond those that would be expected given a child's age and development. The aim of the thesis is to estimate the children's BMI trajectory and to evaluate to what extent the externalizing behavior is related to BMI using semiparametric and nonparametric time-varying coefficient models. Some valuable insights into how the externalizing behavior and BMI are associated will be provided. </italic>
URI: http://hdl.handle.net/1903/12043
Appears in Collections:UMD Theses and Dissertations
Epidemiology & Biostatistics Theses and Dissertations

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