C
Cheng Zheng
Researcher at University of Wisconsin–Milwaukee
Publications - 66
Citations - 1762
Cheng Zheng is an academic researcher from University of Wisconsin–Milwaukee. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 19, co-authored 52 publications receiving 1289 citations. Previous affiliations of Cheng Zheng include Peking University & Fred Hutchinson Cancer Research Center.
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Journal ArticleDOI
A tutorial on count regression and zero-altered count models for longitudinal substance use data
TL;DR: This article provides a tutorial on methods for analyzing longitudinal substance use data, focusing on Poisson, zero-inflated, and hurdle mixed models, which are types of hierarchical or multilevel models.
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RCT of web-based personalized normative feedback for college drinking prevention: are typical student norms good enough?
Joseph W. LaBrie,Melissa A. Lewis,David C. Atkins,Clayton Neighbors,Cheng Zheng,Shannon R. Kenney,Lucy E. Napper,Theresa Walter,Jason R. Kilmer,Justin F. Hummer,Joel R. Grossbard,Tehniat M. Ghaidarov,Sruti Desai,Christine M. Lee,Mary E. Larimer +14 more
TL;DR: Findings suggest a web-based PNF intervention using the typical student referent offers a parsimonious approach to reducing problematic alcohol use outcomes among college students.
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Indicated prevention for college student marijuana use: a randomized controlled trial.
Christine M. Lee,Jason R. Kilmer,Clayton Neighbors,David C. Atkins,Cheng Zheng,Denise D. Walker,Mary E. Larimer +6 more
TL;DR: Preliminary data on short-term effects of a focused marijuana intervention for college students at reducing marijuana use during the academic quarter suggests a trend toward fewer marijuana-related consequences compared with the control group at 3-month follow-up.
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A randomized controlled trial of event-specific prevention strategies for reducing problematic drinking associated with 21st birthday celebrations.
Clayton Neighbors,Christine M. Lee,David C. Atkins,Melissa A. Lewis,Debra Kaysen,Angela Mittmann,Nicole Fossos,Irene M. Geisner,Cheng Zheng,Mary E. Larimer +9 more
TL;DR: Results provide support for both general intervention and ESP approaches across modalities for reducing extreme drinking and negative consequences associated with turning 21 and suggest there are several promising options for campuses seeking to reduce both use and negative consequence associated with 21st birthday celebrations.
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Identification and quantification of metabolites in 1H NMR spectra by Bayesian model selection
TL;DR: A probabilistic approach Bayesian Quantification (BQuant) is introduced, for fully automated database-based identification and quantification of metabolites in local regions of (1)H NMR spectra.