On logistic Box–Cox regression for flexibly estimating the shape and strength of exposure‐disease relationships-Reference-Cited by-同舟云学术

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On logistic Box–Cox regression for flexibly estimating the shape and strength of exposure‐disease relationships

Published:2020-12-17 Issue:3 Volume:49 Page:808-825
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Xing Li¹^ORCID,Zhang Xuekui²,Burstyn Igor³,Gustafson Paul⁴^ORCID

Affiliation:

1. Mathematics and Statistics University of Saskatchewan Saskatoon SK Canada

2. Mathematics and Statistics University of Victoria Victoria BC Canada

3. Department of Environmental and Occupational Health, School of Public Health Drexel University Philadelphia PA U.S.A

4. Department of Statistics University of British Columbia Vancouver BC 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.11587

Reference28 articles.

1. The Elements of Integration and Lebesgue Measure

2. An Analysis of Transformations Revisited

3. An Analysis of Transformations

4. Transformation of the Independent Variables

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. lboxcox: Implementation of Logistic Box-Cox Regression;CRAN: Contributed Packages;2022-01-27

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