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Justin M Luningham

Showing results (1-10 of 19) with videos related to

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Multivariate Behavioral Research|January 6, 2018
Extending CART-based Multiple Imputation with Gradient Boosting MachinesJustin M Luningham, Gitta H Lubke
World Psychiatry : Official Journal of the World Psychiatric Association (WPA)|September 15, 2020
Testing structural models of psychopathology at the genomic levelIrwin D Waldman, Holly E Poore, Justin M Luningham, et al.
Behavior Genetics|August 7, 2017
Sum Scores in Twin Growth Curve Models: Practicality Versus BiasJustin M Luningham, Daniel B McArtor, Meike Bartels, et al.
Vaccines|April 28, 2023
Demographic and Psychosocial Correlates of COVID-19 Vaccination Status among a Statewide Sample in TexasJustin M Luningham, Idara N Akpan, Tanjila Taskin, et al.
Discover Public Health|November 11, 2024
Identifying influential factors using machine learning techniques on the intention to receive a COVID-19 booster dose and vaccine fatigue among partially vaccinated individualsAthina Bikaki, Justin M Luningham, Erika L Thompson, et al.
Human Vaccines & Immunotherapeutics|April 24, 2024
COVID-19 clinical trial participation and awareness in TexasJustin M Luningham, Idara N Akpan, Sarah Alkhatib, et al.
Cancer Medicine|July 13, 2023
Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in GeorgiaSofia Awan, Geetanjali Saini, Keerthi Gogineni, et al.
American Journal of Human Genetics|September 22, 2020
Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary StatisticsJustin M Luningham, Junyu Chen, Shizhen Tang, et al.
Child Development|September 1, 2020
Relations Among Father's Presence, Family Conflict, and Adolescent Adjustment in Northern IrelandJustin M Luningham, Christine E Merrilees, Laura K Taylor, et al.
Alcohol, Clinical & Experimental Research|December 6, 2023
The selection of statistical models for reporting count outcomes and intervention effects in brief alcohol intervention trials: A review and recommendationsLin Tan, Justin M Luningham, David Huh, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Multivariate Behavioral Research|January 6, 2018
Extending CART-based Multiple Imputation with Gradient Boosting MachinesJustin M Luningham, Gitta H Lubke
World Psychiatry : Official Journal of the World Psychiatric Association (WPA)|September 15, 2020
Testing structural models of psychopathology at the genomic levelIrwin D Waldman, Holly E Poore, Justin M Luningham, et al.
Behavior Genetics|August 7, 2017
Sum Scores in Twin Growth Curve Models: Practicality Versus BiasJustin M Luningham, Daniel B McArtor, Meike Bartels, et al.
Vaccines|April 28, 2023
Demographic and Psychosocial Correlates of COVID-19 Vaccination Status among a Statewide Sample in TexasJustin M Luningham, Idara N Akpan, Tanjila Taskin, et al.
Discover Public Health|November 11, 2024
Identifying influential factors using machine learning techniques on the intention to receive a COVID-19 booster dose and vaccine fatigue among partially vaccinated individualsAthina Bikaki, Justin M Luningham, Erika L Thompson, et al.
Human Vaccines & Immunotherapeutics|April 24, 2024
COVID-19 clinical trial participation and awareness in TexasJustin M Luningham, Idara N Akpan, Sarah Alkhatib, et al.
Cancer Medicine|July 13, 2023
Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in GeorgiaSofia Awan, Geetanjali Saini, Keerthi Gogineni, et al.
American Journal of Human Genetics|September 22, 2020
Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary StatisticsJustin M Luningham, Junyu Chen, Shizhen Tang, et al.
Child Development|September 1, 2020
Relations Among Father's Presence, Family Conflict, and Adolescent Adjustment in Northern IrelandJustin M Luningham, Christine E Merrilees, Laura K Taylor, et al.
Alcohol, Clinical & Experimental Research|December 6, 2023
The selection of statistical models for reporting count outcomes and intervention effects in brief alcohol intervention trials: A review and recommendationsLin Tan, Justin M Luningham, David Huh, et al.
Pageof 2