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Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST)

Collins, Linda M

1st ed. 2018 edition., 2018

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Achieving the Goals of Translational Science in Public Health Intervention Research: The Multiphase Optimization Strategy (MOST)

American journal of public health (1971), 2019-02, Vol.109 (S2), p.S128-S129

2019

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Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences

1, 2009

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Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support

Annals of behavioral medicine, 2018-05, Vol.52 (6), p.446-462

2018

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Analysis of longitudinal data : The integration of theoretical model, temporal design, and statistical model

Annual review of psychology, 2006-01, Vol.57 (1), p.505-528

COLLINS, Linda M

2006

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Optimization of Multicomponent Behavioral and Biobehavioral Interventions for the Prevention and Treatment of HIV/AIDS

AIDS and behavior, 2016-01, Vol.20 (Suppl 1), p.197-214

2016

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Evaluating Digital Health Interventions: Key Questions and Approaches

American journal of preventive medicine, 2016-11, Vol.51 (5), p.843-851

2016

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The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions

American journal of preventive medicine, 2007-05, Vol.32 (5 Suppl), p.S112-S118

2007

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Factorial experiments: efficient tools for evaluation of intervention components

American journal of preventive medicine, 2014-10, Vol.47 (4), p.498-504

2014

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Advancing Models and Theories for Digital Behavior Change Interventions

American journal of preventive medicine, 2016-11, Vol.51 (5), p.825-832

2016

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Optimization of behavioral dynamic treatment regimens based on the sequential, multiple assignment, randomized trial (SMART)

Clinical trials (London, England), 2014-08, Vol.11 (4), p.426-434

2014

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An Overview of Research and Evaluation Designs for Dissemination and Implementation

Annual review of public health, 2017-03, Vol.38 (1), p.1-22

2017

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A New SAS Procedure for Latent Transition Analysis: Transitions in Dating and Sexual Risk Behavior

Developmental psychology, 2008-03, Vol.44 (2), p.446-456

2008

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A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science

Psychological methods, 2023-04

2023

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PROC LCA: A SAS Procedure for Latent Class Analysis

Structural equation modeling, 2007-01, Vol.14 (4), p.671-694

2007

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Design of Experiments With Multiple Independent Variables: A Resource Management Perspective on Complete and Reduced Factorial Designs

Psychological methods, 2009-09, Vol.14 (3), p.202-224

2009

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The selection of comparators for randomized controlled trials of health-related behavioral interventions: recommendations of an NIH expert panel

Journal of clinical epidemiology, 2019-06, Vol.110, p.74-81

2019

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The Microrandomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations

Psychological methods, 2022-10, Vol.27 (5), p.874-894

2022

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A Factorial Experiment to Optimize Remotely Delivered Behavioral Treatment for Obesity: Results of the Opt‐IN Study

Obesity (Silver Spring, Md.), 2020-09, Vol.28 (9), p.1652-1662

2020

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Multilevel Factorial Designs With Experiment-Induced Clustering

Psychological methods, 2018-09, Vol.23 (3), p.458-479

2018

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Using Decision Analysis for Intervention Value Efficiency to Select Optimized Interventions in the Multiphase Optimization Strategy

Health psychology, 2024-02, Vol.43 (2), p.89-100

2024

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Multilevel Factorial Experiments for Developing Behavioral Interventions: Power, Sample Size, and Resource Considerations

Psychological methods, 2012-06, Vol.17 (2), p.153-175

2012

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Effects of Chatbot Components to Facilitate Mental Health Services Use in Individuals With Eating Disorders Following Online Screening: An Optimization Randomized Controlled Trial

The International journal of eating disorders, 2024-07

2024

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A Comparison of Inclusive and Restrictive Strategies in Modern Missing Data Procedures

Psychological methods, 2001-12, Vol.6 (4), p.330-351

2001

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Comparative effectiveness of intervention components for producing long-term abstinence from smoking: a factorial screening experiment

Addiction (Abingdon, England), 2016-01, Vol.111 (1), p.142-155

2016

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Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST)

Achieving the Goals of Translational Science in Public Health Intervention Research: The Multiphase Optimization Strategy (MOST)

Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences

Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support

Analysis of longitudinal data : The integration of theoretical model, temporal design, and statistical model

Optimization of Multicomponent Behavioral and Biobehavioral Interventions for the Prevention and Treatment of HIV/AIDS

Evaluating Digital Health Interventions: Key Questions and Approaches

The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions

Factorial experiments: efficient tools for evaluation of intervention components

Advancing Models and Theories for Digital Behavior Change Interventions

Optimization of behavioral dynamic treatment regimens based on the sequential, multiple assignment, randomized trial (SMART)

An Overview of Research and Evaluation Designs for Dissemination and Implementation

A New SAS Procedure for Latent Transition Analysis: Transitions in Dating and Sexual Risk Behavior

A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science

PROC LCA: A SAS Procedure for Latent Class Analysis

Design of Experiments With Multiple Independent Variables: A Resource Management Perspective on Complete and Reduced Factorial Designs

The selection of comparators for randomized controlled trials of health-related behavioral interventions: recommendations of an NIH expert panel

The Microrandomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations

A Factorial Experiment to Optimize Remotely Delivered Behavioral Treatment for Obesity: Results of the Opt‐IN Study

Multilevel Factorial Designs With Experiment-Induced Clustering

Using Decision Analysis for Intervention Value Efficiency to Select Optimized Interventions in the Multiphase Optimization Strategy

Multilevel Factorial Experiments for Developing Behavioral Interventions: Power, Sample Size, and Resource Considerations

Effects of Chatbot Components to Facilitate Mental Health Services Use in Individuals With Eating Disorders Following Online Screening: An Optimization Randomized Controlled Trial

A Comparison of Inclusive and Restrictive Strategies in Modern Missing Data Procedures

Comparative effectiveness of intervention components for producing long-term abstinence from smoking: a factorial screening experiment

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