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Wolfgang Wiedermann

Showing results (1-10 of 72) with videos related to

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Multivariate Behavioral Research|April 13, 2019
Direction Dependence Analysis in the Presence of Confounders: Applications to Linear Mediation Models Using Observational DataWolfgang Wiedermann, James Sebastian
Multivariate Behavioral Research|September 24, 2019
Sensitivity Analysis and Extensions of Testing the Causal Direction of Dependence: A Rejoinder to Thoemmes (2019)Wolfgang Wiedermann, James Sebastian
Educational and Psychological Measurement|May 22, 2026
Cumulant-Based Approaches for Testing the Assumption of Independent Errors in Non-Gaussian Parallel and Congeneric MeasuresWolfgang Wiedermann, Dexin Shi
The British Journal of Mathematical and Statistical Psychology|June 17, 2025
Testing the validity of instrumental variables in just-identified linear non-Gaussian modelsWolfgang Wiedermann, Dexin Shi
Behavior Research Methods|April 18, 2018
Direction dependence analysis: A framework to test the direction of effects in linear models with an implementation in SPSSWolfgang Wiedermann, Xintong Li
Behavior Research Methods|September 13, 2023
Covariate selection in causal learning under non-GaussianityBixi Zhang, Wolfgang Wiedermann
Behavior Research Methods|March 21, 2019
Confounder detection in linear mediation models: Performance of kernel-based tests of independenceWolfgang Wiedermann, Xintong Li
Multivariate Behavioral Research|November 13, 2019
Conditional Direction Dependence Analysis: Evaluating the Causal Direction of Effects in Linear Models with Interaction TermsXintong Li, Wolfgang Wiedermann
Alcohol Research : Current Reviews|June 3, 2014
Using surveys to calculate disability-adjusted life-yearsWolfgang Wiedermann, Ulrich Frick
Integrative Psychological & Behavioral Science|March 22, 2018
Locating Event-Based Causal Effects: A Configural PerspectiveAlexander von Eye, Wolfgang Wiedermann
Pageof 8

Showing results (1-10 of 72) with videos related to

Sort By:
Pageof 8
Multivariate Behavioral Research|April 13, 2019
Direction Dependence Analysis in the Presence of Confounders: Applications to Linear Mediation Models Using Observational DataWolfgang Wiedermann, James Sebastian
Multivariate Behavioral Research|September 24, 2019
Sensitivity Analysis and Extensions of Testing the Causal Direction of Dependence: A Rejoinder to Thoemmes (2019)Wolfgang Wiedermann, James Sebastian
Educational and Psychological Measurement|May 22, 2026
Cumulant-Based Approaches for Testing the Assumption of Independent Errors in Non-Gaussian Parallel and Congeneric MeasuresWolfgang Wiedermann, Dexin Shi
The British Journal of Mathematical and Statistical Psychology|June 17, 2025
Testing the validity of instrumental variables in just-identified linear non-Gaussian modelsWolfgang Wiedermann, Dexin Shi
Behavior Research Methods|April 18, 2018
Direction dependence analysis: A framework to test the direction of effects in linear models with an implementation in SPSSWolfgang Wiedermann, Xintong Li
Behavior Research Methods|September 13, 2023
Covariate selection in causal learning under non-GaussianityBixi Zhang, Wolfgang Wiedermann
Behavior Research Methods|March 21, 2019
Confounder detection in linear mediation models: Performance of kernel-based tests of independenceWolfgang Wiedermann, Xintong Li
Multivariate Behavioral Research|November 13, 2019
Conditional Direction Dependence Analysis: Evaluating the Causal Direction of Effects in Linear Models with Interaction TermsXintong Li, Wolfgang Wiedermann
Alcohol Research : Current Reviews|June 3, 2014
Using surveys to calculate disability-adjusted life-yearsWolfgang Wiedermann, Ulrich Frick
Integrative Psychological & Behavioral Science|March 22, 2018
Locating Event-Based Causal Effects: A Configural PerspectiveAlexander von Eye, Wolfgang Wiedermann
Pageof 8