Scandinavian journal of statistics, theory and applications

Jiang F, Haneuse S.
PMID: 28439147
Scand Stat Theory Appl. 2017 Mar;44(1):112-129. doi: 10.1111/sjos.12244. Epub 2016 Aug 31.

In the analysis of semi-competing risks data interest lies in estimation and inference with respect to a so-called non-terminal event, the observation of which is subject to a terminal event. Multi-state models are commonly used to analyse such data,...

Journal of the American Statistical Association

Lee KH, Dominici F, Schrag D, Haneuse S.
PMID: 28303074
J Am Stat Assoc. 2016;111(515):1075-1095. doi: 10.1080/01621459.2016.1164052. Epub 2016 Oct 18.

Readmission following discharge from an initial hospitalization is a key marker of quality of health care in the United States. For the most part, readmission has been studied among patients with 'acute' health conditions, such as pneumonia and heart...

Journal of the Royal Statistical Society. Series C, Applied statistics

Lee KH, Haneuse S, Schrag D, Dominici F.
PMID: 25977592
J R Stat Soc Ser C Appl Stat. 2015 Feb 01;64(2):253-273. doi: 10.1111/rssc.12078.

In the U.S., the Centers for Medicare and Medicaid Services uses 30-day readmission, following hospitalization, as a proxy outcome to monitor quality of care. These efforts generally focus on treatable health conditions, such as pneumonia and heart failure. Expanding...

American journal of epidemiology

Haneuse S, Schrag D, Nevo D.
PMID: 32314782
Am J Epidemiol. 2020 Sep 01;189(9):982-984. doi: 10.1093/aje/kwaa031.

In almost all clinical settings, patients are at risk for multiple potential events and, in consultation with health-care providers, must weigh the potential benefits and harms across these events when making decisions. As researchers seek to build an evidence...

Statistical science : a review journal of the Institute of Mathematical Statistics

Antonelli J, Trippa L, Haneuse S.
PMID: 28979066
Stat Sci. 2016 Feb;31(1):80-95. doi: 10.1214/15-STS533. Epub 2016 Feb 10.

Generalized linear mixed models are a common statistical tool for the analysis of clustered or longitudinal data where correlation is accounted for through cluster-specific random effects. In practice, the distribution of the random effects is typically taken to be...

The R journal

Alvares D, Haneuse S, Lee C, Lee KH.
PMID: 33604061
R J. 2019 Jun;11(1):376-400. doi: 10.32614/rj-2019-038. Epub 2019 Aug 20.

Semi-competing risks refer to the setting where primary scientific interest lies in estimation and inference with respect to a non-terminal event, the occurrence of which is subject to a terminal event. In this paper, we present the R package