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Sebastien Haneuse

Showing results (31-40 of 238) with videos related to

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Statistics in Medicine|February 23, 2011
Bayes computation for ecological inferenceJon Wakefield, Sebastien Haneuse, Adrian Dobra, et al.
SAGE Open Medicine|April 12, 2018
Quantifying and reducing statistical uncertainty in sample-based health program costing studies in low- and middle-income countriesClaudia L Rivera-Rodriguez, Stephen Resch, Sebastien Haneuse
Biostatistics (Oxford, England)|January 7, 2023
Characterizing quantile-varying covariate effects under the accelerated failure time modelHarrison T Reeder, Kyu Ha Lee, Sebastien Haneuse
Statistics in Medicine|November 17, 2023
Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomesLara Maleyeff, Rui Wang, Sebastien Haneuse, et al.
American Journal of Public Health|June 11, 2016
Evaluating Public Health Interventions: 3. The Two-Stage Design for Confounding Bias Reduction-Having Your Cake and Eating It TwoDonna Spiegelman, Claudia L Rivera-Rodriguez, Sebastien Haneuse
Statistical Methods in Medical Research|June 17, 2025
Permutation tests for detecting treatment effect heterogeneity in cluster randomized trialsLara Maleyeff, Fan Li, Sebastien Haneuse, et al.
Pediatric Research|May 20, 2020
Predicting the outcomes of preterm neonates beyond the neonatal intensive care unit: What are we missing?Colin J Crilly, Sebastien Haneuse, Jonathan S Litt
Statistical Methods in Medical Research|July 25, 2024
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored dataHarrison T Reeder, Sebastien Haneuse, Kyu Ha Lee
Journal of the American Statistical Association|March 18, 2017
Hierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancerKyu Ha Lee, Francesca Dominici, Deborah Schrag, et al.
The Canadian Journal of Statistics = Revue Canadienne De Statistique|August 11, 2025
Robust causal inference for point exposures with missing confoundersAlexander W Levis, Rajarshi Mukherjee, Rui Wang, et al.
Pageof 24

Showing results (31-40 of 238) with videos related to

Sort By:
Pageof 24
Statistics in Medicine|February 23, 2011
Bayes computation for ecological inferenceJon Wakefield, Sebastien Haneuse, Adrian Dobra, et al.
SAGE Open Medicine|April 12, 2018
Quantifying and reducing statistical uncertainty in sample-based health program costing studies in low- and middle-income countriesClaudia L Rivera-Rodriguez, Stephen Resch, Sebastien Haneuse
Biostatistics (Oxford, England)|January 7, 2023
Characterizing quantile-varying covariate effects under the accelerated failure time modelHarrison T Reeder, Kyu Ha Lee, Sebastien Haneuse
Statistics in Medicine|November 17, 2023
Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomesLara Maleyeff, Rui Wang, Sebastien Haneuse, et al.
American Journal of Public Health|June 11, 2016
Evaluating Public Health Interventions: 3. The Two-Stage Design for Confounding Bias Reduction-Having Your Cake and Eating It TwoDonna Spiegelman, Claudia L Rivera-Rodriguez, Sebastien Haneuse
Statistical Methods in Medical Research|June 17, 2025
Permutation tests for detecting treatment effect heterogeneity in cluster randomized trialsLara Maleyeff, Fan Li, Sebastien Haneuse, et al.
Pediatric Research|May 20, 2020
Predicting the outcomes of preterm neonates beyond the neonatal intensive care unit: What are we missing?Colin J Crilly, Sebastien Haneuse, Jonathan S Litt
Statistical Methods in Medical Research|July 25, 2024
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored dataHarrison T Reeder, Sebastien Haneuse, Kyu Ha Lee
Journal of the American Statistical Association|March 18, 2017
Hierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancerKyu Ha Lee, Francesca Dominici, Deborah Schrag, et al.
The Canadian Journal of Statistics = Revue Canadienne De Statistique|August 11, 2025
Robust causal inference for point exposures with missing confoundersAlexander W Levis, Rajarshi Mukherjee, Rui Wang, et al.
Pageof 24