Title | Proportional hazards model with a change point for clustered event data. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Deng, Yu, Donglin Zeng, Jinying Zhao, and Jianwen Cai |
Journal | Biometrics |
Volume | 73 |
Issue | 3 |
Pagination | 835-845 |
Date Published | 2017 Sep |
ISSN | 1541-0420 |
Keywords | Cluster Analysis, Likelihood Functions, Proportional Hazards Models, Risk Factors |
Abstract | In many epidemiology studies, family data with survival endpoints are collected to investigate the association between risk factors and disease incidence. Sometimes the risk of the disease may change when a certain risk factor exceeds a certain threshold. Finding this threshold value could be important for disease risk prediction and diseases prevention. In this work, we propose a change-point proportional hazards model for clustered event data. The model incorporates the unknown threshold of a continuous variable as a change point in the regression. The marginal pseudo-partial likelihood functions are maximized for estimating the regression coefficients and the unknown change point. We develop a supremum test based on robust score statistics to test the existence of the change point. The inference for the change point is based on the m out of n bootstrap. We establish the consistency and asymptotic distributions of the proposed estimators. The finite-sample performance of the proposed method is demonstrated via extensive simulation studies. Finally, the Strong Heart Family Study dataset is analyzed to illustrate the methods. |
DOI | 10.1111/biom.12655 |
Alternate Journal | Biometrics |
Original Publication | Proportional hazards model with a change point for clustered event data. |
PubMed ID | 28257142 |
PubMed Central ID | PMC5582026 |
Grant List | K01 AG034259 / AG / NIA NIH HHS / United States R01 DK091369 / DK / NIDDK NIH HHS / United States R01 GM047845 / GM / NIGMS NIH HHS / United States R01 HL109284 / HL / NHLBI NIH HHS / United States UL1 RR025747 / RR / NCRR NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States R01 ES021900 / ES / NIEHS NIH HHS / United States R01 DK107532 / DK / NIDDK NIH HHS / United States |
Proportional hazards model with a change point for clustered event data.
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