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Sebastien Haneuse

Showing results (1-10 of 238) with videos related to

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Epidemiology (Cambridge, Mass.)|September 30, 2016
Commentary: Multiple Causes of Death: The Importance of Substantive Knowledge in the Big Data EraSebastien Haneuse
Medical Care|December 7, 2013
Distinguishing Selection Bias and Confounding Bias in Comparative Effectiveness ResearchSebastien Haneuse
EGEMS (Washington, DC)|September 27, 2016
A General Framework for Considering Selection Bias in EHR-Based Studies: What Data Are Observed and Why?Sebastien Haneuse, Michael Daniels
Epidemiology (Cambridge, Mass.)|April 15, 2011
Designs for the combination of group- and individual-level dataSebastien Haneuse, Scott Bartell
Scandinavian Journal of Statistics, Theory and Applications|April 26, 2017
A Semi-parametric Transformation Frailty Model for Semi-competing Risks Survival DataFei Jiang, Sebastien Haneuse
JAMA Network Open|March 24, 2020
Small Data Challenges of Studying Rare DiseasesAya A Mitani, Sebastien Haneuse
Epidemiology (Cambridge, Mass.)|October 26, 2017
On the Analysis of Case-Control Studies in Cluster-correlated Data SettingsSebastien Haneuse, Claudia Rivera-Rodriguez
Circulation. Cardiovascular Quality and Outcomes|April 14, 2016
Semi-Competing Risks Data Analysis: Accounting for Death as a Competing Risk When the Outcome of Interest Is NonterminalSebastien Haneuse, Kyu Ha Lee
Contemporary Clinical Trials|November 5, 2020
Modifications to Communities for Healthy Living trial design resulting from COVID-19Kirsten K Davison, Sebastien Haneuse
Statistical Methods in Medical Research|November 18, 2017
Power and sample size for multivariate logistic modeling of unmatched case-control studiesMitchell H Gail, Sebastien Haneuse
Pageof 24

Showing results (1-10 of 238) with videos related to

Sort By:
Pageof 24
Epidemiology (Cambridge, Mass.)|September 30, 2016
Commentary: Multiple Causes of Death: The Importance of Substantive Knowledge in the Big Data EraSebastien Haneuse
Medical Care|December 7, 2013
Distinguishing Selection Bias and Confounding Bias in Comparative Effectiveness ResearchSebastien Haneuse
EGEMS (Washington, DC)|September 27, 2016
A General Framework for Considering Selection Bias in EHR-Based Studies: What Data Are Observed and Why?Sebastien Haneuse, Michael Daniels
Epidemiology (Cambridge, Mass.)|April 15, 2011
Designs for the combination of group- and individual-level dataSebastien Haneuse, Scott Bartell
Scandinavian Journal of Statistics, Theory and Applications|April 26, 2017
A Semi-parametric Transformation Frailty Model for Semi-competing Risks Survival DataFei Jiang, Sebastien Haneuse
JAMA Network Open|March 24, 2020
Small Data Challenges of Studying Rare DiseasesAya A Mitani, Sebastien Haneuse
Epidemiology (Cambridge, Mass.)|October 26, 2017
On the Analysis of Case-Control Studies in Cluster-correlated Data SettingsSebastien Haneuse, Claudia Rivera-Rodriguez
Circulation. Cardiovascular Quality and Outcomes|April 14, 2016
Semi-Competing Risks Data Analysis: Accounting for Death as a Competing Risk When the Outcome of Interest Is NonterminalSebastien Haneuse, Kyu Ha Lee
Contemporary Clinical Trials|November 5, 2020
Modifications to Communities for Healthy Living trial design resulting from COVID-19Kirsten K Davison, Sebastien Haneuse
Statistical Methods in Medical Research|November 18, 2017
Power and sample size for multivariate logistic modeling of unmatched case-control studiesMitchell H Gail, Sebastien Haneuse
Pageof 24