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Semiparametric regression analysis of two‐sample current status data, with applications to tumorigenicity experiments
Author(s) -
Tong Xingwei,
Zhu Chao,
Sun Jianguo
Publication year - 2007
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.1002/cjs.5550350408
Subject(s) - proportional hazards model , odds , context (archaeology) , statistics , regression analysis , mathematics , regression , sample (material) , econometrics , current (fluid) , logistic regression , geography , engineering , physics , archaeology , electrical engineering , thermodynamics
Current status data frequently occur in failure time studies, particularly in demographical studies and tumorigenicity experiments. Although commonly used in this context, proportional hazards and odds models are inadequate when survival functions cross. The authors consider a class of two‐sample models which is suitable for this situation and encompasses the proportional hazards and odds models. The estimating equations they propose lead to consistent and asymptotically Gaussian estimates of regression parameters in the extended model. Their approach is assessed through simulations and illustrated using data from a tumorigenicity experiment.

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