Literature DB >> 32776412

Score and deviance residuals based on the full likelihood approach in survival analysis.

Susan Halabi1, Sandipan Dutta2, Yuan Wu1, Aiyi Liu3.   

Abstract

Assuming the proportional hazards model and non-informative censoring, the full likelihood approach is used to obtain two new residuals. The first residual is based on the ideas used in obtaining score-type residuals similar to the partial likelihood approach. The second type of residual is based on the concept of deviance residuals. Extensive simulations are conducted to compare the performance of the residuals from the full likelihood-based approach with those of the partial likelihood method. We demonstrate through simulation studies that the full likelihood-based residuals are more efficient than their partial likelihood counterpart in identifying potential outliers when the censoring proportion is high. The graphical techniques are used to illustrate the applications of these residuals using some examples.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  deviance residuals; full likelihood; non-informative censoring; partial likelihood; proportional hazards; score-type residuals

Mesh:

Year:  2020        PMID: 32776412      PMCID: PMC7774642          DOI: 10.1002/pst.2047

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


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