40 citations · 105 across the 14 of their papers we have counts for
12 papers · 1 filter
Toward Joint Prediction of a Longitudinal Marker and a Terminal Event: A bivariate discrete-time framework
Stephanie Armbruster, Daniel Kramer, Rui Duan +3
Sudden cardiac death (SCD) is a leading cause of death in the U.S. Patients at elevated risk of SCD are primarily treated with an implantable cardioverter-defibrillator (ICD), whic…
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data
Harrison T. Reeder, Sebastien Haneuse, Kyu Ha Lee
An important task in health research is to characterize time-to-event outcomes such as disease onset or mortality in terms of a potentially high-dimensional set of risk factors. Fo…
Characterizing quantile-varying covariate effects under the accelerated failure time model
Harrison T. Reeder, Kyu Ha Lee, Sebastien Haneuse
An important task in survival analysis is choosing a structure for the relationship between covariates of interest and the time-to-event outcome. For example, the accelerated failu…
Double sampling for informatively missing data in electronic health record-based comparative effectiveness research
Alexander W. Levis, Rajarshi Mukherjee, Rui Wang +2
Missing data arise in most applied settings and are ubiquitous in electronic health records (EHR). When data are missing not at random (MNAR) with respect to measured covariates, s…
Penalized Estimation of Frailty-Based Illness-Death Models for Semi-Competing Risks
Harrison T. Reeder, Junwei Lu, Sebastien Haneuse
Semi-competing risks refers to the survival analysis setting where the occurrence of a non-terminal event is subject to whether a terminal event has occurred, but not vice versa. S…
Measuring performance for end-of-life care
Sebastien Haneuse, Deborah Schrag, Francesca Dominici +2
Although not without controversy, readmission is entrenched as a hospital quality metric, with statistical analyses generally based on fitting a logistic-Normal generalized linear…
Modeling semi-competing risks data as a longitudinal bivariate process
Daniel Nevo, Deborah Blacker, Eric B. Larson +1
The Adult Changes in Thought (ACT) study is a long-running prospective study of incident all-cause dementia and Alzheimer's disease (AD). As the cohort ages, death (a terminal even…
On the Interplay Between Exposure Misclassification and Informative Cluster Size
Glen McGee, Marianthi-Anna Kioumourtzoglou, Marc G. Weisskopf +2
In this paper we study the impact of exposure misclassification when cluster size is potentially informative (i.e., related to outcomes) and when misclassification is differential…
Generalizing causal inferences from randomized trials: counterfactual and graphical identification
Issa J. Dahabreh, James M. Robins, Sebastien J-P. A. Haneuse +1
When engagement with a randomized trial is driven by factors that affect the outcome or when trial engagement directly affects the outcome independent of treatment, the average tre…
Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population
Issa J. Dahabreh, James M. Robins, Sebastien J-P. A. Haneuse +4
Extending (generalizing or transporting) causal inferences from a randomized trial to a target population requires ``generalizability'' or ``transportability'' assumptions, which s…
Study designs for extending causal inferences from a randomized trial to a target population
Issa J. Dahabreh, Sebastien J-P. A. Haneuse, James M. Robins +4
We examine study designs for extending (generalizing or transporting) causal inferences from a randomized trial to a target population. Specifically, we consider nested trial desig…
Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks
Leah Comment, Fabrizia Mealli, Sebastien Haneuse +1
In semicompeting risks problems, nonterminal time-to-event outcomes such as time to hospital readmission are subject to truncation by death. These settings are often modeled with i…