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George Howe

Showing results (11-20 of 23) with videos related to

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Prevention Science : the Official Journal of the Society for Prevention Research|March 1, 2017
Limitations in Using Multiple Imputation to Harmonize Individual Participant Data for Meta-AnalysisJuned Siddique, Peter J de Chavez, George Howe, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|May 8, 2016
Reducing Internalizing Symptoms Among High-Risk, Hispanic Adolescents: Mediators of a Preventive Family InterventionTatiana Perrino, Ahnalee Brincks, George Howe, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|March 31, 2006
The role of behavior observation in measurement systems for randomized prevention trialsJames Snyder, John Reid, Mike Stoolmiller, et al.
Behavior Research Methods|July 4, 2015
Impact of an equality constraint on the class-specific residual variances in regression mixtures: A Monte Carlo simulation studyMinjung Kim, Andrea E Lamont, Thomas Jaki, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|June 20, 2016
Preventing Youth Internalizing Symptoms Through the Familias Unidas Intervention: Examining Variation in ResponseAhnalee Brincks, Tatiana Perrino, George Howe, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|January 7, 2014
Preventing internalizing symptoms among Hispanic adolescents: a synthesis across Familias Unidas trialsTatiana Perrino, Hilda Pantin, Guillermo Prado, et al.
Journal of Statistical Computation and Simulation|May 21, 2013
Using regression mixture models with non-normal data: Examining an ordered polytomous approachMelissa R W George, Na Yang, M Lee Van Horn, et al.
Structural Equation Modeling : a Multidisciplinary Journal|July 4, 2012
Not quite normal: Consequences of violating the assumption of normality in regression mixture modelsM Lee Van Horn, Jessalyn Smith, Abigail A Fagan, et al.
Educational and Psychological Measurement|November 12, 2015
Evaluating differential effects using regression interactions and regression mixture modelsM Lee Van Horn, Thomas Jaki, Katherine Masyn, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|October 29, 2014
Toward scientific equity for the prevention of depression and depressive symptoms in vulnerable youthTatiana Perrino, William Beardslee, Guillermo Bernal, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Prevention Science : the Official Journal of the Society for Prevention Research|March 1, 2017
Limitations in Using Multiple Imputation to Harmonize Individual Participant Data for Meta-AnalysisJuned Siddique, Peter J de Chavez, George Howe, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|May 8, 2016
Reducing Internalizing Symptoms Among High-Risk, Hispanic Adolescents: Mediators of a Preventive Family InterventionTatiana Perrino, Ahnalee Brincks, George Howe, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|March 31, 2006
The role of behavior observation in measurement systems for randomized prevention trialsJames Snyder, John Reid, Mike Stoolmiller, et al.
Behavior Research Methods|July 4, 2015
Impact of an equality constraint on the class-specific residual variances in regression mixtures: A Monte Carlo simulation studyMinjung Kim, Andrea E Lamont, Thomas Jaki, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|June 20, 2016
Preventing Youth Internalizing Symptoms Through the Familias Unidas Intervention: Examining Variation in ResponseAhnalee Brincks, Tatiana Perrino, George Howe, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|January 7, 2014
Preventing internalizing symptoms among Hispanic adolescents: a synthesis across Familias Unidas trialsTatiana Perrino, Hilda Pantin, Guillermo Prado, et al.
Journal of Statistical Computation and Simulation|May 21, 2013
Using regression mixture models with non-normal data: Examining an ordered polytomous approachMelissa R W George, Na Yang, M Lee Van Horn, et al.
Structural Equation Modeling : a Multidisciplinary Journal|July 4, 2012
Not quite normal: Consequences of violating the assumption of normality in regression mixture modelsM Lee Van Horn, Jessalyn Smith, Abigail A Fagan, et al.
Educational and Psychological Measurement|November 12, 2015
Evaluating differential effects using regression interactions and regression mixture modelsM Lee Van Horn, Thomas Jaki, Katherine Masyn, et al.
Prevention Science : the Official Journal of the Society for Prevention Research|October 29, 2014
Toward scientific equity for the prevention of depression and depressive symptoms in vulnerable youthTatiana Perrino, William Beardslee, Guillermo Bernal, et al.
Pageof 3