David MacKinnon

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Regents' and Foundation Professor

Arizona State University

United States

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About

David MacKinnon is a Regents' and Foundation Professor at Arizona State University in the United States. His research focuses on advanced methodologies in prevention science, particularly in qualitative mediation analysis, causal mediation, and sensitivity analysis. He has authored several notable articles that discuss the intricacies of mediation analysis, collider bias, and the application of innovative statistical methods in psychological research.

Recent Grants

Grant: Close

Prevention of Adolescent Driving Under the Influence

Open Date: 2002-03-01

Close Date: 2005-02-28

Grant: Close

Estimating Mediation Effects in Prevention Studies

Open Date: 1996-07-01

Close Date: 2015-06-30

Grant: Close

Estimating Mediation Effects in Prevention Studies

Open Date: 1996-07-01

Close Date: 2025-05-31

Grant: Close

ANALYSIS OF TEAM-BASED SUBSTANCE ABUSE PREVENTION

Open Date: 1993-07-01

Close Date: 2003-07-31

Grant: Close

CITY-LEVEL ALCOHOL RELATED PROBLEMS &DATABASE

Open Date: 1991-05-01

Close Date: 1992-09-15

Articles (18)

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Ahnalee M. Brincks

Michigan State University

UNITED STATES

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University of South Florida

UNITED STATES

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Matthew Valente

Assistant Professor

University of South Florida College of Public Health

UNITED STATES

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David MacKinnon

Research Interests

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About

Recent Grants

Articles (18)

Generalized Inference for Mediation Analysis

Why You Should Not Estimate Mediated Effects Using the Difference-in-Coefficients Method When the Outcome is Binary

Qualitative Mediation Analysis: an Important Method for Exploring Mediating Mechanisms in Prevention Science

Three Sensitivity-Analysis Methods to Assess Unmeasured Pretreatment Confounding Bias in Experimental Mediation Analysis

Alternative Approaches to Estimate Causal Mediated Effects in the Single-Mediator Model

Correcting Regression Coefficients for Collider Bias in Psychological Research

Correcting for collider effects and sample selection bias in psychological research.

Using causal mediation to examine self-efficacy as a mechanism through which continuing care interventions reduce alcohol use.

An R Shiny App for Sensitivity Analysis for Latent Growth Curve Mediation

The Importance of Time Metric Precision When Implementing Bivariate Latent Change Score Models

Momentary Self-regulation: Scale Development and Preliminary Validation

A Randomization Permutation Test for Single Subject Mediation

A Unification of Mediator, Confounder, and Collider Effects

Measurement in Intensive Longitudinal Data

Latent Class Mediation: A Comparison of Six Approaches

The Use of Traditional and Causal Estimators for Mediation Models with a Binary Outcome and Exposure-Mediator Interaction

Exposure to ethnic discrimination in social media and symptoms of anxiety and depression among Hispanic emerging adults: Examining the moderating role of gender

Different Roles of Prior Distributions in the Single Mediator Model with Latent Variables

Collaborators (14)

Haiyi Xie

Davood Tofighi

Yu-Yu Hsiao

Brian TaeHyuk Keum

Katie Witkiewitz

Ahnalee M. Brincks

Holly O'Rourke

Abir Rahman

Lisa Marsch

James McKay

Gheorghe Luta

Mariana Sanchez

Judith Rijnhart

Matthew Valente

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