Abstract

Dr. Flaherty and a graduate student RA will conduct statistical analyses using Mx, Latent Transition Analysis, R, and Stata. Project personnel will run simulation studies in order to test the performance of the latent class model under conditions with varying degrees of conformance with assumptions of the model. Project personnel will perform secondary data analysis testing the latent class model (and longitudinal extensions) performance as well as to add to our knowledge of substance use, abuse and dependence. The second project period will continue to investigate the interaction between model performance, measurement quality and item scale. The past four years'work have involved interesting problems with model selection and multimodality in the likelihood function, as well as statistical power to detect the proper number of classes. Measurement and covariate issues will also be studied in longitudinal models, including the latent transition and associative latent transition models. Dr. Flaherty will travel to Richmond to meet with Dr. Neale to work on the grant once a year. They will also have conference calls. All research will be written up and submitted for publication. Software and scripts produced will be made freely available to the public.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Method to Extend Research in Time (MERIT) Award (R37)
Project #
5R37DA018673-08
Application #
8118594
Study Section
Special Emphasis Panel (NSS)
Program Officer
Weinberg, Naimah Z
Project Start
2004-09-30
Project End
2014-07-31
Budget Start
2011-08-01
Budget End
2012-07-31
Support Year
8
Fiscal Year
2011
Total Cost
$437,484
Indirect Cost

  Institution

Name
Virginia Commonwealth University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
105300446
City
Richmond
State
VA
Country
United States
Zip Code
23298

  Publications

Minic?, Camelia C; Verweij, Karin J H; van der Most, Peter J et al. (2018) Genome-wide association meta-analysis of age at first cannabis use. Addiction 113:2073-2086
Lubke, Gitta H; McArtor, Daniel B; Boomsma, Dorret I et al. (2018) Genetic and environmental contributions to the development of childhood aggression. Dev Psychol 54:39-50
Gillespie, Nathan A; Neale, Michael C; Bates, Timothy C et al. (2018) Testing associations between cannabis use and subcortical volumes in two large population-based samples. Addiction :
McKee, Kevin L; Rappaport, Lance M; Boker, Steven M et al. (2018) Adaptive Equilibrium Regulation: Modeling Individual Dynamics on Multiple Timescales. Struct Equ Modeling 25:888-905
van Dongen, Jenny; Ehli, Erik A; Jansen, Rick et al. (2018) Genome-wide analysis of DNA methylation in buccal cells: a study of monozygotic twins and mQTLs. Epigenetics Chromatin 11:54
Moulder, Robert G; Boker, Steven M; Ramseyer, Fabian et al. (2018) Determining synchrony between behavioral time series: An application of surrogate data generation for establishing falsifiable null-hypotheses. Psychol Methods 23:757-773
Minic?, Camelia C; Dolan, Conor V; Boomsma, Dorret I et al. (2018) Extending Causality Tests with Genetic Instruments: An Integration of Mendelian Randomization with the Classical Twin Design. Behav Genet :
Luningham, Justin M; McArtor, Daniel B; Bartels, Meike et al. (2017) Sum Scores in Twin Growth Curve Models: Practicality Versus Bias. Behav Genet 47:516-536
Lubke, Gitta H; Campbell, Ian; McArtor, Dan et al. (2017) Assessing Model Selection Uncertainty Using a Bootstrap Approach: An update. Struct Equ Modeling 24:230-245
Minic?, Camelia C; Genovese, Giulio; Hultman, Christina M et al. (2017) The Weighting is the Hardest Part: On the Behavior of the Likelihood Ratio Test and the Score Test Under a Data-Driven Weighting Scheme in Sequenced Samples. Twin Res Hum Genet 20:108-118

Showing the most recent 10 out of 128 publications