Collins, Linda M.
Collins, Linda M., 1955-
Linda Collins American quantitative psychologist
VIAF ID: 31173288 (Personal)
Permalink: http://viaf.org/viaf/31173288
Preferred Forms
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- 100 1 _ ‡a Collins, Linda M.
- 100 1 _ ‡a Collins, Linda M.
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- 100 1 _ ‡a Collins, Linda M.
- 100 1 _ ‡a Collins, Linda M.
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- 100 1 _ ‡a Collins, Linda M. ‡d 1955-
- 100 1 _ ‡a Collins, Linda M. ‡d 1955-
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- 100 0 _ ‡a Linda Collins ‡c American quantitative psychologist
4xx's: Alternate Name Forms (4)
5xx's: Related Names (6)
- 510 2 _ ‡a American Psychological Association
- 510 2 _ ‡a John Wiley & Sons
- 510 2 _ ‡a National Institute on Drug Abuse
- 510 2 _ ‡a Pennsylvania State University (University Park, Pa.)
- 510 2 _ ‡a Pennsylvania State University ‡g University Park, Pa. ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
- 551 _ _ ‡a University Park, Pa. ‡4 ortw ‡4 https://d-nb.info/standards/elementset/gnd#placeOfActivity
Works
Title | Sources |
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The acquisition and maintenance of safer sexual behaviors among injection drug users | |
Advances in data analysis for prevention intervention research | |
Advancing Models and Theories for Digital Behavior Change Interventions | |
Agreement Between Retrospective Accounts of Substance Use and Earlier Reported Substance Use | |
An Alternative Framework for Defining Mediation | |
Analysis of longitudinal data: the integration of theoretical model, temporal design, and statistical model | |
Axiomatic foundations of a three-set guttman simplex model with applicability to longitudinal data | |
Best methods for the analysis of change : recent advances, unanswered questions, future directions | |
Comment on "How Many Causes Are There of Aging-Related Decrements in Cognitive Functioning?" | |
Crossvalidation of Latent Class Models of Early Substance Use Onset | |
Developing multicomponent interventions using fractional factorial designs | |
Does individual risk moderate the effect of contextual-level protective factors? A latent class analysis of substance use | |
Dynamic energy-balance model predicting gestational weight gain | |
A dynamical systems approach to understanding self-regulation in smoking cessation behavior change | |
Enhancing the effectiveness of smoking treatment research: conceptual bases and progress | |
Erratum | |
Europe needs a central, transparent, and evidence-based approval process for behavioural prevention interventions | |
Evaluating Digital Health Interventions: Key Questions and Approaches | |
Factor Recovery in Binary Data Sets: A Simulation | |
Factorial experiments: efficient tools for evaluation of intervention components | |
Frequency and adequacy of breast cancer screening among elderly Hispanic women | |
Functional data analysis for dynamical system identification of behavioral processes | |
Goodness-of-Fit Testing for Latent Class Models | |
Group Comparability | |
Health behavior of elderly Hispanic women: does cultural assimilation make a difference? | |
High-school smoking prevention: Results of a three-year longitudinal study | |
Implementing multifactorial psychotherapy research in online virtual environments (IMPROVE-2): study protocol for a phase III trial of the MOST randomized component selection method for internet cognitive-behavioural therapy for depression. | |
Is Reliability Obsolete? A Commentary on "Are Simple Gain Scores Obsolete?" | |
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. | |
Latent Class and Latent Transition Analysis With Applications in the Social, Behavioral, and Health Sciences | |
The measurement of dynamic latent variables in longitudinal aging research: quantifying adult development. | |
The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations. | |
Mining Health App Data to Find More and Less Successful Weight Loss Subgroups. | |
Modeling transitions in latent stage-sequential processes: a substance use prevention example | |
Multilevel Factorial Designs With Experiment-Induced Clustering | |
New methods for tobacco dependence treatment research | |
A note on the unbiased estimation of the intraclass correlation | |
Omega: A General Formulation of the Rand Index of Cluster Recovery Suitable for Non-disjoint Solutions | |
Optimization of a technology-supported physical activity intervention for breast cancer survivors: Fit2Thrive study protocol. | |
Optimization of Behavioral, Biobehavioral, and Biomedical Interventions : The Multiphase Optimization Strategy (MOST) | |
Optimization of behavioral dynamic treatment regimens based on the sequential, multiple assignment, randomized trial (SMART). | |
An Ordinal I Scaling Method for Questionnaire and Other Ordinal I Data | |
Patterns of Crime in a Birth Cohort | |
Patterns of substance use onset among Hispanics in Puerto Rico and the United States | |
The Positive Emotions after Acute Coronary Events behavioral health intervention: Design, rationale, and preliminary feasibility of a factorial design study | |
PROC LCA: A SAS Procedure for Latent Class Analysis | |
A prospective longitudinal model of substance use onset among South African adolescents | |
Pubertal timing and the onset of substance use in females during early adolescence | |
Recruiting and engaging smokers in treatment in a primary care setting: developing a chronic care model implemented through a modified electronic health record | |
Replication in prevention science | |
Self-initiated smoking cessation among high school students | |
Some methodological considerations in theory-based health behavior research. | |
System Identification Modeling of a Smoking Cessation Intervention* | |
Tobacco, alcohol, and marijuana use among first-year U.S. college students: a time series analysis | |
Tobacco dependence treatment in the emergency department: A randomized trial using the Multiphase Optimization Strategy. | |
Toward precision smoking cessation treatment II: Proximal effects of smoking cessation intervention components on putative mechanisms of action | |
Translational Research in South Africa: Evaluating Implementation Quality Using a Factorial Design | |
Using data augmentation to obtain standard errors and conduct hypothesis tests in latent class and latent transition analysis | |
Using engineering control principles to inform the design of adaptive interventions: a conceptual introduction | |
Using growth models to relate acquisition of nicotine self-administration to break point and nicotinic receptor binding | |
Using the longitudinal Guttman simplex as a basis for measuring growth | |
Utilizing MOST frameworks and SMART designs for intervention research | |
Web-based smoking-cessation programs: results of a randomized trial | |
Youths' substance use and changes in parental knowledge-related behaviors during middle school: a person-oriented approach | |
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