Analysis of noisy survival data with graphical proportional hazards measurement error models-Reference-Cited by-同舟云学术

Analysis of noisy survival data with graphical proportional hazards measurement error models

Published:2020-08-06 Issue:3 Volume:77 Page:956-969
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Chen Li‐Pang¹^ORCID,Yi Grace Y.¹²^ORCID

Affiliation:

1. Department of Statistical and Actuarial Sciences University of Western Ontario London Ontario Canada

2. Department of Computer Science University of Western Ontario London Ontario Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13331

Reference40 articles.

1. Variable selection for multivariate failure time data

2. Measurement Error in Nonlinear Models

3. Simulation-Extrapolation Estimation in Parametric Measurement Error Models

4. Sparse Gaussian graphical model estimation via alternating minimization

5. Variable Selection for Cox's proportional Hazards Model and Frailty Model

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