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chngpt: threshold regression model estimation and inference.

Publication ,  Journal Article
Fong, Y; Huang, Y; Gilbert, PB; Permar, SR
Published in: BMC Bioinformatics
October 16, 2017

BACKGROUND: Threshold regression models are a diverse set of non-regular regression models that all depend on change points or thresholds. They provide a simple but elegant and interpretable way to model certain kinds of nonlinear relationships between the outcome and a predictor. RESULTS: The R package chngpt provides both estimation and hypothesis testing functionalities for four common variants of threshold regression models. All allow for adjustment of additional covariates not subjected to thresholding. We demonstrate the consistency of the estimating procedures and the type 1 error rates of the testing procedures by Monte Carlo studies, and illustrate their practical uses using an example from the study of immune response biomarkers in the context of Mother-To-Child-Transmission of HIV-1 viruses. CONCLUSION: chngpt makes several unique contributions to the software for threshold regression models and will make these models more accessible to practitioners interested in modeling threshold effects.

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Published In

BMC Bioinformatics

DOI

EISSN

1471-2105

Publication Date

October 16, 2017

Volume

18

Issue

1

Start / End Page

454

Location

England

Related Subject Headings

  • Time Factors
  • Software
  • Regression Analysis
  • Monte Carlo Method
  • Models, Statistical
  • Humans
  • HIV-1
  • HIV Infections
  • Bioinformatics
  • 49 Mathematical sciences
 

Citation

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Fong, Y., Huang, Y., Gilbert, P. B., & Permar, S. R. (2017). chngpt: threshold regression model estimation and inference. BMC Bioinformatics, 18(1), 454. https://doi.org/10.1186/s12859-017-1863-x
Fong, Youyi, Ying Huang, Peter B. Gilbert, and Sallie R. Permar. “chngpt: threshold regression model estimation and inference.BMC Bioinformatics 18, no. 1 (October 16, 2017): 454. https://doi.org/10.1186/s12859-017-1863-x.
Fong Y, Huang Y, Gilbert PB, Permar SR. chngpt: threshold regression model estimation and inference. BMC Bioinformatics. 2017 Oct 16;18(1):454.
Fong, Youyi, et al. “chngpt: threshold regression model estimation and inference.BMC Bioinformatics, vol. 18, no. 1, Oct. 2017, p. 454. Pubmed, doi:10.1186/s12859-017-1863-x.
Fong Y, Huang Y, Gilbert PB, Permar SR. chngpt: threshold regression model estimation and inference. BMC Bioinformatics. 2017 Oct 16;18(1):454.
Journal cover image

Published In

BMC Bioinformatics

DOI

EISSN

1471-2105

Publication Date

October 16, 2017

Volume

18

Issue

1

Start / End Page

454

Location

England

Related Subject Headings

  • Time Factors
  • Software
  • Regression Analysis
  • Monte Carlo Method
  • Models, Statistical
  • Humans
  • HIV-1
  • HIV Infections
  • Bioinformatics
  • 49 Mathematical sciences