Sebastien Haneuse

发表

osDesign: An R Package for the Analysis, Evaluation, and Design of Two-Phase and Case-Control Studies.

Thomas Lumley, Takumi Saegusa, Sebastien Haneuse, 2011, Journal of statistical software.

Estimation and inference for semi-competing risks based on data from a nested case-control study

Ina Jazić, Sebastien Haneuse, Stephanie Lee, 2020, Statistical methods in medical research.

Power and Sample Size for Case-Control Studies

Mitchell H. Gail, Sebastien Haneuse, 2018 .

A two-stage strategy to accommodate general patterns of confounding in the design of observational studies.

Sebastien Haneuse, Daniel Gillen, Jonathan Schildcrout, 2012, Biostatistics.

Accelerated failure time models for semi‐competing risks data in the presence of complex censoring

Virginie Rondeau, Kyu Ha Lee, Sebastien Haneuse, 2017, Biometrics.

Augmented pseudo-likelihood estimation for two-phase studies

Molin Wang, Donna Spiegelman, Claudia Rivera-Rodriguez, 2019, Statistical methods in medical research.

SemiCompRisks: An R Package for the Analysis of Independent and Cluster-correlated Semi-competing Risks Data

Kyu Ha Lee, Sebastien Haneuse, Catherine Lee, 2019, R J..

Design and analysis of nested case–control studies for recurrent events subject to a terminal event

Virginie Rondeau, Ina Jazić, Gaëtan MacGrogan, 2019, Statistics in medicine.

Simulation of Semicompeting Risk Survival Data and Estimation Based on Multistate Frailty Model

Fei Jiang, Sebastien Haneuse, 2015 .

ROBUST INFERENCE WHEN COMBINING INVERSE-PROBABILITY WEIGHTING AND MULTIPLE IMPUTATION TO ADDRESS MISSING DATA WITH APPLICATION TO AN ELECTRONIC HEALTH RECORDS-BASED STUDY OF BARIATRIC SURGERY.

Sebastien Haneuse, Tanayott Thaweethai, David E. Arterburn, 2021, The annals of applied statistics.

Modeling semi‐competing risks data as a longitudinal bivariate process

Daniel Nevo, Deborah Blacker, Sebastien Haneuse, 2020, Biometrics.

Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Stephan Zheng, Sebastien Haneuse, Alexander Trott, 2021, SSRN Electronic Journal.

Measuring performance for end-of-life care

Kyu Ha Lee, Francesca Dominici, Sharon-Lise Normand, 2021 .

Neuropathology in the adult changes in thought study: a review.

Ge Li, Sebastien Haneuse, Paul K Crane, 2009, Journal of Alzheimer's disease : JAD.

Radiologist agreement for mammographic recall by case difficulty and finding type.

Karla Kerlikowske, Tracy Onega, Sebastien Haneuse, 2012, Journal of the American College of Radiology : JACR.

Hierarchical Models for Semicompeting Risks Data With Application to Quality of End-of-Life Care for Pancreatic Cancer

Kyu Ha Lee, Francesca Dominici, Deborah Schrag, 2015, Journal of the American Statistical Association.

Relationship between margin distance and local recurrence among patients undergoing wedge resection for small (≤2 cm) non-small cell lung cancer.

Tamar Sofer, Yolonda L Colson, David J Sugarbaker, 2014, The Journal of thoracic and cardiovascular surgery.

A Semi‐parametric Transformation Frailty Model for Semi‐competing Risks Survival Data

Sebastien Haneuse, S. Haneuse, F. Jiang, 2017, Scandinavian journal of statistics, theory and applications.

Bayesian semiparametric analysis of semicompeting risks data: investigating hospital readmission after a pancreatic cancer diagnosis

Kyu Ha Lee, Francesca Dominici, Deborah Schrag, 2015, Journal of the Royal Statistical Society. Series C, Applied statistics.

Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks

Fabrizia Mealli, Sebastien Haneuse, Corwin Zigler, 2019 .

Analyses of longitudinal, hospital clinical laboratory data with application to blood glucose concentrations.

Joshua C. Denny, Lemuel R. Waitman, Michael E. Matheny, 2011, Statistics in medicine.

Mitigating Bias in Generalized Linear Mixed Models: The Case for Bayesian Nonparametrics.

Lorenzo Trippa, Sebastien Haneuse, Joseph Antonelli, 2016, Statistical science : a review journal of the Institute of Mathematical Statistics.

Learning About Missing Data Mechanisms in Electronic Health Records-based Research: A Survey-based Approach

Sebastien Haneuse, Andy Bogart, Denise Boudreau, 2016, Epidemiology.

Timing of follow-up after abnormal screening and diagnostic mammograms.

Karen J Wernli, Sebastien Haneuse, J. Elmore, 2011, The American journal of managed care.

Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies

Tyler J. VanderWeele, Sebastien Haneuse, David Arterburn, 2019, JAMA.

The combination of ecological and case–control data

Sebastien Haneuse, S. Haneuse, Jonathan Wakefield, 2008 .