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Model-Robust Inference for Continuous Threshold Regression Models
by
Fong, Youyi
, Di, Chongzhi
, Huang, Ying
, Gilbert, Peter B.
in
Biomarkers
/ BIOMETRIC METHODOLOGY
/ biometry
/ confidence interval
/ Confidence intervals
/ Continuity (mathematics)
/ Correlation analysis
/ Data analysis
/ Data processing
/ Economic models
/ Flexibility
/ Guidelines
/ HIV
/ HIV-1
/ Human immunodeficiency virus
/ Human immunodeficiency virus 1
/ Humans
/ Immune response
/ Immune system
/ Infectious diseases
/ Inference
/ Likelihood Functions
/ Mathematical analysis
/ Maximum likelihood estimators
/ Models, Statistical
/ Monte Carlo simulation
/ Mother‐to‐child transmission of HIV‐1
/ Profile likelihood ratio under model misspecification
/ Regression analysis
/ Regression kink
/ Robustness (mathematics)
/ RV144 immune correlates studies
/ Test procedures
/ threshold models
2017
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Model-Robust Inference for Continuous Threshold Regression Models
by
Fong, Youyi
, Di, Chongzhi
, Huang, Ying
, Gilbert, Peter B.
in
Biomarkers
/ BIOMETRIC METHODOLOGY
/ biometry
/ confidence interval
/ Confidence intervals
/ Continuity (mathematics)
/ Correlation analysis
/ Data analysis
/ Data processing
/ Economic models
/ Flexibility
/ Guidelines
/ HIV
/ HIV-1
/ Human immunodeficiency virus
/ Human immunodeficiency virus 1
/ Humans
/ Immune response
/ Immune system
/ Infectious diseases
/ Inference
/ Likelihood Functions
/ Mathematical analysis
/ Maximum likelihood estimators
/ Models, Statistical
/ Monte Carlo simulation
/ Mother‐to‐child transmission of HIV‐1
/ Profile likelihood ratio under model misspecification
/ Regression analysis
/ Regression kink
/ Robustness (mathematics)
/ RV144 immune correlates studies
/ Test procedures
/ threshold models
2017
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Do you wish to request the book?
Model-Robust Inference for Continuous Threshold Regression Models
by
Fong, Youyi
, Di, Chongzhi
, Huang, Ying
, Gilbert, Peter B.
in
Biomarkers
/ BIOMETRIC METHODOLOGY
/ biometry
/ confidence interval
/ Confidence intervals
/ Continuity (mathematics)
/ Correlation analysis
/ Data analysis
/ Data processing
/ Economic models
/ Flexibility
/ Guidelines
/ HIV
/ HIV-1
/ Human immunodeficiency virus
/ Human immunodeficiency virus 1
/ Humans
/ Immune response
/ Immune system
/ Infectious diseases
/ Inference
/ Likelihood Functions
/ Mathematical analysis
/ Maximum likelihood estimators
/ Models, Statistical
/ Monte Carlo simulation
/ Mother‐to‐child transmission of HIV‐1
/ Profile likelihood ratio under model misspecification
/ Regression analysis
/ Regression kink
/ Robustness (mathematics)
/ RV144 immune correlates studies
/ Test procedures
/ threshold models
2017
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Model-Robust Inference for Continuous Threshold Regression Models
Journal Article
Model-Robust Inference for Continuous Threshold Regression Models
2017
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Overview
We study threshold regression models that allow the relationship between the outcome and a covariate of interest to change across a threshold value in the covariate. In particular, we focus on continuous threshold models, which experience no jump at the threshold. Continuous threshold regression functions can provide a useful summary of the association between outcome and the covariate of interest, because they offer a balance between flexibility and simplicity. Motivated by collaborative works in studying immune response biomarkers of transmission of infectious diseases, we study estimation of continuous threshold models in this article with particular attention to inference under model misspecification. We derive the limiting distribution of the maximum likelihood estimator, and propose both Wald and test-inversion confidence intervals. We evaluate finite sample performance of our methods, compare them with bootstrap confidence intervals, and provide guidelines for practitioners to choose the most appropriate method in real data analysis. We illustrate the application of our methods with examples from the HIV-1 immune correlates studies.
Publisher
Wiley-Blackwell,Blackwell Publishing Ltd
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