Data-driven choice of a model selection method in joinpoint regression-Reference-Cited by-同舟云学术

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Data-driven choice of a model selection method in joinpoint regression

Published:2022-04-18 Issue: Volume: Page:1-22
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Kim Hyune-Ju¹,Chen Huann-Sheng²,Midthune Douglas³,Wheeler Bill⁴,Buckman Dennis W.⁴,Green Donald⁴,Byrne Jeffrey⁴,Luo Jun⁴,Feuer Eric J.²

Affiliation:

1. Department of Mathematics, Syracuse University, Syracuse, NY, USA

2. Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA

3. Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA

4. Information Management Services Inc., Calverton, MD, USA

Funder

National Cancer Institute

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2022.2063265

Reference39 articles.

1. A new look at the statistical model identification

2. Estimating and Testing Linear Models with Multiple Structural Changes

3. Monte Carlo Evaluation of Resampling-Based Hypothesis Tests

4. Predicting US- and state-level cancer counts for the current calendar year

5. Model selection by LASSO methods in a change-point model

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