Document Detail


Simulation of massive public health data by power polynomials.
MedLine Citation:
PMID:  22532052     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Situations in which multiple outcomes and predictors of different distributional types are collected are becoming increasingly common in public health practice, and joint modeling of mixed types has been gaining popularity in recent years. Evaluation of various statistical techniques that have been developed for mixed data in simulated environments necessarily requires joint generation of multiple variables. Most massive public health data sets include different types of variables. For instance, in clustered or longitudinal designs, often multiple variables are measured or observed for each individual or at each occasion. This work is motivated by a need to jointly generate binary and possibly non-normal continuous variables. We illustrate the use of power polynomials to simulate multivariate mixed data on the basis of a real adolescent smoking study. We believe that our proposed technique for simulating such intensive data has the potential to be a handy methodological addition to public health researchers' toolkit.
Authors:
Hakan Demirtas; Donald Hedeker; Robin J Mermelstein
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2012-04-25
Journal Detail:
Title:  Statistics in medicine     Volume:  31     ISSN:  1097-0258     ISO Abbreviation:  Stat Med     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-09     Completed Date:  2013-05-28     Revised Date:  2013-06-25    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  3337-46     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 John Wiley & Sons, Ltd.
Affiliation:
Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, IL 60612, USA. demirtas@uic.edu
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Affect
Computer Simulation
Data Interpretation, Statistical*
Female
Humans
Male
Models, Statistical*
Multivariate Analysis*
Public Health / methods*
Smoking / psychology
Grant Support
ID/Acronym/Agency:
P01 CA098262/CA/NCI NIH HHS; P01CA098262/CA/NCI NIH HHS; R21CA140696/CA/NCI NIH HHS
Comments/Corrections

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