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09/21/2023
Unveiling Challenges in Mendelian Randomization for Gene-Environment Interaction
Many diseases and traits involve a complex interplay between genes and e...
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09/03/2023
Unlocking Retrospective Prevalent Information in EHRs – a Pairwise Pseudolikelihood Approach
Typically, electronic health record data are not collected towards a spe...
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03/02/2023
Discrete-time Competing-Risks Regression with or without Penalization
Many studies employ the analysis of time-to-event data that incorporates...
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05/11/2022
Shared Frailty Methods for Complex Survival Data: A Review of Recent Advances
Dependent survival data arise in many contexts. One context is clustered...
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05/08/2022
An Accelerated Failure Time Regression Model for Illness-Death Data: A Frailty Approach
This work presents a new model and estimation procedure for the illness-...
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04/12/2022
PyDTS: A Python Package for Discrete Time Survival Analysis with Competing Risks
Time-to-event analysis (survival analysis) is used when the outcome or t...
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02/23/2022
Revisiting the Cumulative Incidence Function With Competing Risks Data
We consider estimation of the cumulative incidence function (CIF) in the...
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12/03/2020
Optimal Cox Regression Subsampling Procedure with Rare Events
Massive sized survival datasets are becoming increasingly prevalent with...
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10/09/2020
Causal inference for semi-competing risks data
An emerging challenge for time-to-event data is studying semi-competing ...
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09/29/2020
Efficient Study Design with Multiple Measurement Instruments
Outcomes from studies assessing exposure often use multiple measurements...
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06/03/2019
Semiparametric Analysis of the Proportional Likelihood Ratio Model and Omnibus Estimation Procedure
We provide a semi-parametric analysis for the proportional likelihood ra...
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05/27/2019
Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data
The UK Biobank is a large-scale health resource comprising genetic, envi...
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01/17/2019
K-sample omnibus non-proportional hazards tests based on right-censored data
This work presents novel and powerful tests for comparing non-proportion...
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12/03/2018
An improved fully nonparametric estimator of the marginal survival function based on case-control clustered data
A case-control family study is a study where individuals with a disease ...
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02/21/2017