TY - JOUR
T1 - How spacing of data collection may impact estimates of substance use trajectories
AU - Tan, Xianming
AU - Dierker, Lisa
AU - Rose, Jennifer
AU - Li, Runze
N1 - Funding Information:
Data analysis and manuscript preparation was supported by grant DA024260 (Li and Dierker) and DA15454, DA024260 (Dierker) from the National Institute on Drug Abuse, by a Center Grant (DA010075) awarded to the Methodology Center, Penn State University, and by an research award from the Peter F. McManus Charitable Trust (Dierker). Data collection was supported by the Robert Wood Johnson Foundation, Tobacco Etiology Research Network (TERN). TERN includes Richard Clayton, David Abrams, Robert Balster, Linda Collins, Ronald Dahl, Brian Flay, Gary Giovino, Jack Henningfield, George Koob, Robert McMahon, Kathleen Merikangas, Mark Nichter, Saul Shiffman, Stephen Tiffany, Dennis Prager, Melissa Segress, Christopher Agnew, Craig Colder, Lisa Dierker, Eric Donny, Lorah Dorn, Thomas Eissenberg, Brian Flaherty, Lan Liang, Nancy Maylath, Mimi Nichter, Elizabeth Lloyd-Richardson, William Shadel, and Laura Stroud. Address correspondence to Lisa Dierker, The Psychology Department, Wesleyan University, Judd Hall 302, Wesleyan Station, Middletown, CT 06459; E-mail: [email protected].
Funding Information:
Lisa Dierker, Ph.D., is Professor of Psychology and Chair of the Quantitative Analysis Center at the Wesleyan University, Middletown, Connecticut, USA. Dr. Dierker’s research focuses on the application of state-of- the-art statistical methods in understanding the natural history of nicotine dependence and other addictive behaviors. Her research is currently funded by the National Institute on Drug Abuse (NIDA), the National Science Foundation, and the McManus Charitable Trust.
Funding Information:
Runze Li, Ph.D., is Professor of Statistics and Professor of Public Health Sciences, a member of the Methodology Center, Pennsylvania State University, University Park, Pennsylvania, USA. Dr. Li’s research interest includes analysis of intensive longitudinal data, variable selection for high- dimensional data, and statistical methodology applications to substance use research, life science research, and engineering research. His work has been funded by the National Institute on Drug Abuse (NIDA) and the National Science Foundation. He has published in a broad assortment of methodological and substantive journals. Dr. Li has been Associate Editor of Annals of Statistics, Journal of American Statistical Association, and Statistica Sinica. Awards include NSF Career award and Fellow of Institute of Mathematical Statistics.
PY - 2011/4/7
Y1 - 2011/4/7
N2 - The goal of this study is to provide an empirical example using longitudinal cigarette smoking data that compares results of growth mixture trajectory models on the basis of contiguous and snapshot measurements. Data were drawn from an intensive longitudinal study of college freshman (N = 905) with a previous history of smoking. Participants provided weekly smoking reports for 35 consecutive weeks. We found that using contiguous weekly data (35 waves) or 6-wave or 4-wave snapshot data provided similar trajectory curves and proportions. However, there were notable differences in individual trajectory assignments on the basis of contiguous and snapshot measurements.
AB - The goal of this study is to provide an empirical example using longitudinal cigarette smoking data that compares results of growth mixture trajectory models on the basis of contiguous and snapshot measurements. Data were drawn from an intensive longitudinal study of college freshman (N = 905) with a previous history of smoking. Participants provided weekly smoking reports for 35 consecutive weeks. We found that using contiguous weekly data (35 waves) or 6-wave or 4-wave snapshot data provided similar trajectory curves and proportions. However, there were notable differences in individual trajectory assignments on the basis of contiguous and snapshot measurements.
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U2 - 10.3109/10826084.2010.537731
DO - 10.3109/10826084.2010.537731
M3 - Article
C2 - 21174495
AN - SCOPUS:79953866855
SN - 1082-6084
VL - 46
SP - 758
EP - 768
JO - Substance Use and Misuse
JF - Substance Use and Misuse
IS - 6
ER -
