Tanzania
Research Article
Estimating Transitional Probabilities with Cross-Sectional Data to Assess Smoking Behavior Progression: A Validation Analysis
Author(s): Xinguang Chen and Feng LinXinguang Chen and Feng Lin
Abstract
Background and objective: New analytical tools are needed to advance tobacco research, tobacco control planning and tobacco use prevention practice. In this study, we validated a method to extract information from crosssectional survey for quantifying population dynamics of adolescent smoking behavior progression.
Methods: With a 3-stage 7-path model, probabilities of smoking behavior progression were estimated employing the Probabilistic Discrete Event System (PDES) method and the cross-sectional data from 1997-2006 National Survey on Drug Use and Health (NSDUH). Validity of the PDES method was assessed using data from the National Longitudinal Survey of Youth 1997 and trends in smoking transition covering the period during which funding for tobacco control was cut substantively in 2003 in the United States... Read More»
DOI:
10.4172/2155-6180.S1-004
Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report