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Statistical Methods in Medical Research
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February 9, 2024
Heterogeneous treatment effect estimation for observational data using model-based forests
Susanne Dandl, Andreas Bender, Torsten Hothorn
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
June 23, 2011
BARD1 expression predicts outcome in colon cancer
Judith C Sporn, Torsten Hothorn, Barbara Jung
Epidemiologic Perspectives & Innovations : EP+I
|
March 7, 2009
Trend tests for the evaluation of exposure-response relationships in epidemiological exposure studies
Ludwig A Hothorn, Michael Vaeth, Torsten Hothorn
The International Journal of Biostatistics
|
June 11, 2014
Estimation of a predictor's importance by Random Forests when there is missing data: risk prediction in liver surgery using laboratory data
Alexander Hapfelmeier, Torsten Hothorn, Carina Riediger, et al.
Statistical Methods in Medical Research
|
May 10, 2014
Predicting birth weight with conditionally linear transformation models
Lisa Möst, Matthias Schmid, Florian Faschingbauer, et al.
Statistical Methods in Medical Research
|
July 16, 2019
Survival forests under test: Impact of the proportional hazards assumption on prognostic and predictive forests for amyotrophic lateral sclerosis survival
Natalia Korepanova, Heidi Seibold, Verena Steffen, et al.
Neurosurgical Review
|
November 26, 2014
Cranial dural arteriovenous shunts. Part 4. Clinical presentation of the shunts with leptomeningeal venous drainage
Gerasimos Baltsavias, Alex Spiessberger, Torsten Hothorn, et al.
Accident; Analysis and Prevention
|
August 11, 2018
Wildlife warning reflectors do not mitigate wildlife-vehicle collisions on roads
Anke Benten, Torsten Hothorn, Torsten Vor, et al.
Statistical Applications in Genetics and Molecular Biology
|
October 4, 2012
A PAUC-based estimation technique for disease classification and biomarker selection
Matthias Schmid, Torsten Hothorn, Friedemann Krause, et al.
BMC Medical Research Methodology
|
July 10, 2020
Correction to: Baseline-adjusted proportional odds models for the quantification of treatment effects in trials with ordinal sum score outcomes
Muriel Buri, Armin Curt, John Steeves, et al.
Page
of 10
Search research articles
Search
Showing results (31-40 of 99) with videos related to
Sort By:
Page
of 10
Statistical Methods in Medical Research
|
February 9, 2024
Heterogeneous treatment effect estimation for observational data using model-based forests
Susanne Dandl, Andreas Bender, Torsten Hothorn
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
June 23, 2011
BARD1 expression predicts outcome in colon cancer
Judith C Sporn, Torsten Hothorn, Barbara Jung
Epidemiologic Perspectives & Innovations : EP+I
|
March 7, 2009
Trend tests for the evaluation of exposure-response relationships in epidemiological exposure studies
Ludwig A Hothorn, Michael Vaeth, Torsten Hothorn
The International Journal of Biostatistics
|
June 11, 2014
Estimation of a predictor's importance by Random Forests when there is missing data: risk prediction in liver surgery using laboratory data
Alexander Hapfelmeier, Torsten Hothorn, Carina Riediger, et al.
Statistical Methods in Medical Research
|
May 10, 2014
Predicting birth weight with conditionally linear transformation models
Lisa Möst, Matthias Schmid, Florian Faschingbauer, et al.
Statistical Methods in Medical Research
|
July 16, 2019
Survival forests under test: Impact of the proportional hazards assumption on prognostic and predictive forests for amyotrophic lateral sclerosis survival
Natalia Korepanova, Heidi Seibold, Verena Steffen, et al.
Neurosurgical Review
|
November 26, 2014
Cranial dural arteriovenous shunts. Part 4. Clinical presentation of the shunts with leptomeningeal venous drainage
Gerasimos Baltsavias, Alex Spiessberger, Torsten Hothorn, et al.
Accident; Analysis and Prevention
|
August 11, 2018
Wildlife warning reflectors do not mitigate wildlife-vehicle collisions on roads
Anke Benten, Torsten Hothorn, Torsten Vor, et al.
Statistical Applications in Genetics and Molecular Biology
|
October 4, 2012
A PAUC-based estimation technique for disease classification and biomarker selection
Matthias Schmid, Torsten Hothorn, Friedemann Krause, et al.
BMC Medical Research Methodology
|
July 10, 2020
Correction to: Baseline-adjusted proportional odds models for the quantification of treatment effects in trials with ordinal sum score outcomes
Muriel Buri, Armin Curt, John Steeves, et al.
Page
of 10