A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements-Reference-Cited by-同舟云学术

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A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements

Published:2022-10-17 Issue: Volume: Page:
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Ge Xinyi¹,Peng Yingwei²^ORCID,Tu Dongsheng³^ORCID

Affiliation:

1. Department of Mathematics and Statistics Queen's University Kingston Ontario Canada

2. Departments of Mathematics and Statistics & Public Health Sciences Queen's University Kingston Ontario Canada

3. Departments of Mathematics and Statistics & Public Health Sciences and Canadian Cancer Trials Group Queen's University Kingston Ontario Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11737

Reference54 articles.

1. An application of bootstrapping in logistic regression model;Adjei I. A.;Open Access Library Journal,2016

2. Validating effectiveness of subgroup identification for longitudinal data

4. A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data

5. Induced smoothing for rank regression with censored survival times

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