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Adjusting for bias introduced by instrumental variable estimation in the Cox Proportional Hazards Model [PDF]
Biostatistics, 2017 Instrumental variable (IV) methods are widely used for estimating average treatment effects in the presence of unmeasured confounders. However, the capability of existing IV procedures, and most notably the two-stage residual inclusion (2SRI) procedure ...
Goodney, Philip P. +4 more
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A Bayesian approach for analyzing partly interval-censored data under the proportional hazards model. [PDF]
Stat Methods Med Res, 2020 Partly interval-censored time-to-event data often occur in biomedical studies of diseases where periodic medical examinations for symptoms of interest are necessary.
Pan C, Cai B, Wang L.
europepmc +2 more sources
Survival analysis-part 2: Cox proportional hazards model. [PDF]
Indian J Thorac Cardiovasc Surg, 2021 Deo SV, Deo V, Sundaram V.
europepmc +2 more sources
Statistics in Medicine, 2021 The Cox proportional hazards model is used extensively in clinical and epidemiological research. A key assumption of this model is that of proportional hazards.
P. Austin, Jiming Fang, Douglas S. Lee
semanticscholar +1 more source
Identification of a competing risks model with unknown transformations of latent failure times [PDF]
, 2005 This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional ...
Lee, S.
core +8 more sources
Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent.
Journal of Statistical Software, 2011 We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of ℓ1 and ℓ2 penalties (elastic net). Our algorithm fits via cyclical coordinate descent, and employs warm starts to find a solution along a ...
N. Simon +3 more
semanticscholar +1 more source
Generating Survival Times to Simulate Cox Proportional Hazards Models [PDF]
, 2003 This paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression ...
Augustin, Thomas +2 more
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Statistical estimation in the proportional hazards model with risk set sampling [PDF]
, 2004 Thomas' partial likelihood estimator of regression parameters is widely used in the analysis of nested case-control data with Cox's model. This paper proposes a new estimator of the regression parameters, which is consistent and asymptotically normal ...
Chen, Kani
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Bayesian semiparametric inference for multivariate doubly-interval-censored data [PDF]
, 2010 Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a function of covariates.
De Iorio, Maria +3 more
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, 2018 The Cox model, which remains as the first choice in analyzing time-to-event data even for large datasets, relies on the proportional hazards assumption. When the data size exceeds the computer memory, the standard statistics for testing the proportional ...
Schifano, Elizabeth D. +3 more
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