2000 - Fellow of the American Statistical Association (ASA)
Donald Hedeker mostly deals with Statistics, Econometrics, Regression analysis, Random effects model and Psychiatry. His study in Marginal likelihood, Statistical model, Logistic regression, Missing data and Generalized estimating equation is carried out as part of his studies in Statistics. The study incorporates disciplines such as Proper linear model and Polynomial regression in addition to Logistic regression.
His study in Regression analysis is interdisciplinary in nature, drawing from both Multilevel model, Multivariate statistics, Linear regression and Autocorrelation. His work deals with themes such as Personality disorders and Clinical psychology, which intersect with Psychiatry. His research integrates issues of Ecology and Mood in his study of Covariate.
Donald Hedeker mainly focuses on Statistics, Econometrics, Clinical psychology, Random effects model and Psychiatry. His study in Statistics focuses on Regression analysis, Marginal likelihood, Ordinal data, Logistic regression and Ordered logit. His study brings together the fields of Missing data and Econometrics.
Donald Hedeker studies Clinical psychology, focusing on Mood in particular. His research investigates the connection between Mood and topics such as Affect that intersect with issues in Developmental psychology. Psychiatry is closely attributed to Young adult in his study.
His main research concerns Young adult, Random effects model, Body mass index, Mixed model and Randomized controlled trial. Donald Hedeker studied Young adult and Offspring that intersect with Risk factor. His Body mass index study integrates concerns from other disciplines, such as Sibling, Intraclass correlation and Obesity.
His Mixed model research is multidisciplinary, relying on both Ecology, Econometrics and Missing data. His Randomized controlled trial research incorporates elements of Intervention, Physical therapy, mHealth and Nicotine. Covariate is a primary field of his research addressed under Statistics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Longitudinal Data Analysis
Donald R. Hedeker;Robert D. Gibbons.
(2006)
Time-related predictors of suicide in major affective disorder
Jan Fawcett;William A. Scheftner;Louis Fogg;David C. Clark.
American Journal of Psychiatry (1990)
Some conceptual and statistical issues in analysis of longitudinal psychiatric data. Application to the NIMH treatment of Depression Collaborative Research Program dataset.
Robert D. Gibbons;Donald R. Hedeker;Irene Elkin;Christine Waternaux.
Archives of General Psychiatry (1993)
Application of Random-Effects Pattern-Mixture Models for Missing Data in Longitudinal Studies
Donald Hedeker;Robert D. Gibbons.
Psychological Methods (1997)
Mobile health technology evaluation: The mHealth evidence workshop
Santosh Kumar;Wendy J. Nilsen;Amy Abernethy;Audie Atienza.
American Journal of Preventive Medicine (2013)
A random-effects ordinal regression model for multilevel analysis.
Donald Hedeker;Robert D. Gibbons.
Biometrics (1994)
A Practical Guide to Calculating Cohen’s f2, a Measure of Local Effect Size, from PROC MIXED
Arielle S. Selya;Jennifer S. Rose;Lisa C. Dierker;Donald Hedeker.
Frontiers in Psychology (2012)
The Altman Self-Rating Mania Scale
Edward G. Altman;Donald Hedeker;James L. Peterson;John M. Davis.
Biological Psychiatry (1997)
Full-information item bi-factor analysis
Robert D. Gibbons;Donald R. Hedeker.
Psychometrika (1992)
Differential influence of parental smoking and friends' smoking on adolescent initiation and escalation of smoking.
B R Flay;F B Hu;O Siddiqui;L E Day.
Journal of Health and Social Behavior (1994)
University of Illinois at Chicago
Northwestern University
University of Chicago
Oregon State University
Pennington Biomedical Research Center
Wesleyan University
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Cornell University
University of Southern California
Harvard University
Profile was last updated on December 6th, 2021.
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