Under the auspices of the proposed Center for Prevention Methodology, prevention scientists and methodologists will collaborate to identify important methodological issues in prevention research, to address the issues in a scientifically rigorous yet practical way, to apply the new techniques in empirical prevention data, and to place the solutions in the hands of researchers. The overall theme of the proposed center is Bringing Prevention Science and Statistics Together to Enhance Drug Abuse Prevention Research Methodology. The components making up the proposed center are conceptually distinct yet tightly integrated logistically and thematically. In addition to Components I and 11, two cores which will provide infrastructure and centralized resources, the center includes four scientific components, each of which will develop new statistical methodology directly addressing important methodological issues in prevention. Component III will expand Latent Transition Analysis, a procedure for modeling stage sequential processes in longitudinal prevention data. Component IV will develop statistical methods for analyzing prevention data with complex longitudinal structures. Component V will develop procedures to draw valid inference from prevention studies involving time varying treatments. Component VI will develop better procedures for dealing with missing data in prevention studies.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Specialized Center (P50)
Project #
5P50DA010075-08
Application #
6647127
Study Section
Special Emphasis Panel (ZDA1-RXL-E (02))
Program Officer
Seitz, Larry
Project Start
1996-05-01
Project End
2005-08-31
Budget Start
2003-09-01
Budget End
2004-08-31
Support Year
8
Fiscal Year
2003
Total Cost
$1,302,622
Indirect Cost
Name
Pennsylvania State University
Department
Miscellaneous
Type
Schools of Allied Health Profes
DUNS #
003403953
City
University Park
State
PA
Country
United States
Zip Code
16802
George, Madeleine J; Russell, Michael A; Piontak, Joy R et al. (2018) Concurrent and Subsequent Associations Between Daily Digital Technology Use and High-Risk Adolescents' Mental Health Symptoms. Child Dev 89:78-88
Layland, Eric K; Calhoun, Brian H; Russell, Michael A et al. (2018) Is Alcohol and Other Substance Use Reduced When College Students Attend Alcohol-Free Programs? Evidence from a Measurement Burst Design Before and After Legal Drinking Age. Prev Sci :
Kugler, Kari C; Guastaferro, Kate; Shenk, Chad E et al. (2018) The effect of substantiated and unsubstantiated investigations of child maltreatment and subsequent adolescent health. Child Abuse Negl :
Smith, Rachel A; MacGeorge, Erina L; Hackman, Nicole M et al. (2018) Campaign Preparation for Complex Initiatives: A Person-Centered Approach to Audience Segmentation of Parents' Antibiotic Stewardship. Health Commun 33:1539-1548
Wesche, Rose; Claxton, Shannon E; Lefkowitz, Eva S et al. (2018) Evaluations and Future Plans After Casual Sexual Experiences: Differences Across Partner Type. J Sex Res 55:1180-1191
Perzow, Sarah E D; Bray, Bethany C; Wadsworth, Martha E (2018) Financial stress response profiles and psychosocial functioning in low-income parents. J Fam Psychol 32:517-527
Smith, Rachel A; Sillars, Alan; Chesnut, Ryan P et al. (2018) Investigating Married Adults' Communal Coping with Genetic Health Risk and Perceived Discrimination. Commun Monogr 85:181-202
Bray, Bethany C; Dziak, John J; Patrick, Megan E et al. (2018) Inverse Propensity Score Weighting with a Latent Class Exposure: Estimating the Causal Effect of Reported Reasons for Alcohol Use on Problem Alcohol Use 16 Years Later. Prev Sci :
Bediako, Phylicia T; BeLue, Rhonda; Hillemeier, Marianne M (2018) Immigrant Generational Status and Developmental Problems among Prematurely Born Children. J Immigr Minor Health 20:422-430
Nahum-Shani, Inbal; Dziak, John J; Collins, Linda M (2018) Multilevel factorial designs with experiment-induced clustering. Psychol Methods 23:458-479

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