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Inference Based on Ranks with Tied Failure Time or Grouped Survival Data
Author(s) -
Pettitt A. N.
Publication year - 1986
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710280804
Subject(s) - inference , accelerated failure time model , proportional hazards model , survival analysis , statistics , grouped data , odds , statistical inference , computer science , sample (material) , sample size determination , econometrics , mathematics , data mining , logistic regression , artificial intelligence , chemistry , chromatography
Abstract Scores for the analysis of distinct failure time data using ranks are modified to deal with tied failure times or grouped data. Approximate techniques for inference for regression parameters are considered for ‘proportional odds’ and ‘proportional hazards’ survival data involving tied failures or grouped data. An illustration is given involving a two sample problem.