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Thomas Klausch

Showing results (1-10 of 26) with videos related to

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Survey Research Methods|August 18, 2020
Tree-based Machine Learning Methods for Survey ResearchChristoph Kern, Thomas Klausch, Frauke Kreuter
Statistics in Medicine|April 7, 2026
A Bayesian Prevalence-Incidence Mixture Model for Screening Outcomes With MisclassificationThomas Klausch, Birgit I Lissenberg-Witte, Veerle M H Coupé
Medical Decision Making : an International Journal of the Society for Medical Decision Making|March 13, 2026
A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after InterventionEddymurphy U Akwiwu, Veerle M H Coupé, Johannes Berkhof, et al.
Statistics in Medicine|February 18, 2025
Adaptive Use of Co-Data Through Empirical Bayes for Bayesian Additive Regression TreesJeroen M Goedhart, Thomas Klausch, Jurriaan Janssen, et al.
Social Science Research|October 5, 2013
Disentangling mode-specific selection and measurement bias in social surveysBarry Schouten, Jan van den Brakel, Bart Buelens, et al.
Psychotherapy and Psychosomatics|November 10, 2025
Concomitant Psychotropic Medication Is Associated with Reduced Outcomes of Trauma-Focused Psychotherapy for Post-Traumatic Stress DisorderSerge A Steenen, Roos van Westrhenen, Camilo C Steenen, et al.
BMC Medical Research Methodology|January 12, 2023
Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimatesNoah A Schuster, Judith J M Rijnhart, Lisa C Bosman, et al.
JAMA Network Open|January 15, 2021
Association of Cognitive Function Trajectories in Centenarians With Postmortem Neuropathology, Physical Health, and Other Risk Factors for Cognitive DeclineNina Beker, Andrea Ganz, Marc Hulsman, et al.
BMC Medical Research Methodology|June 27, 2022
A progressive three-state model to estimate time to cancer: a likelihood-based approachEddymurphy U Akwiwu, Thomas Klausch, Henriette C Jodal, et al.
American Journal of Epidemiology|August 30, 2024
Fitting a progressive 3-state colorectal cancer model to interval-censored surveillance data under outcome-dependent sampling using a weighted likelihood approachEddymurphy U Akwiwu, Thomas Klausch, Henriette C Jodal, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Survey Research Methods|August 18, 2020
Tree-based Machine Learning Methods for Survey ResearchChristoph Kern, Thomas Klausch, Frauke Kreuter
Statistics in Medicine|April 7, 2026
A Bayesian Prevalence-Incidence Mixture Model for Screening Outcomes With MisclassificationThomas Klausch, Birgit I Lissenberg-Witte, Veerle M H Coupé
Medical Decision Making : an International Journal of the Society for Medical Decision Making|March 13, 2026
A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after InterventionEddymurphy U Akwiwu, Veerle M H Coupé, Johannes Berkhof, et al.
Statistics in Medicine|February 18, 2025
Adaptive Use of Co-Data Through Empirical Bayes for Bayesian Additive Regression TreesJeroen M Goedhart, Thomas Klausch, Jurriaan Janssen, et al.
Social Science Research|October 5, 2013
Disentangling mode-specific selection and measurement bias in social surveysBarry Schouten, Jan van den Brakel, Bart Buelens, et al.
Psychotherapy and Psychosomatics|November 10, 2025
Concomitant Psychotropic Medication Is Associated with Reduced Outcomes of Trauma-Focused Psychotherapy for Post-Traumatic Stress DisorderSerge A Steenen, Roos van Westrhenen, Camilo C Steenen, et al.
BMC Medical Research Methodology|January 12, 2023
Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimatesNoah A Schuster, Judith J M Rijnhart, Lisa C Bosman, et al.
JAMA Network Open|January 15, 2021
Association of Cognitive Function Trajectories in Centenarians With Postmortem Neuropathology, Physical Health, and Other Risk Factors for Cognitive DeclineNina Beker, Andrea Ganz, Marc Hulsman, et al.
BMC Medical Research Methodology|June 27, 2022
A progressive three-state model to estimate time to cancer: a likelihood-based approachEddymurphy U Akwiwu, Thomas Klausch, Henriette C Jodal, et al.
American Journal of Epidemiology|August 30, 2024
Fitting a progressive 3-state colorectal cancer model to interval-censored surveillance data under outcome-dependent sampling using a weighted likelihood approachEddymurphy U Akwiwu, Thomas Klausch, Henriette C Jodal, et al.
Pageof 3