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- Broström, GöranUmeå universitet,Statistiska institutionen (author)
Partial Partial Likelihood
- Article/chapterEnglish2008
Publisher, publication year, extent ...
- Taylor & Francis,2008
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:umu-9671
- https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-9671URI
- https://doi.org/10.1080/03610910701884021DOI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
Classification
Notes
- The maximum likelihood and maximum partial likelihood approaches to the proportional hazards model are unified. The purpose is to give a general approach to the analysis of the proportional hazards model, whether the baseline distribution is absolutely continuous, discrete, or a mixture. The advantage is that heavily tied data will be analyzed with a discrete time model, while data with no ties is analyzed with ordinary Cox regression. Data sets in between are treated by a compromise between the discrete time model and Efron's approach to tied data in survival analysis, and the transitions between modes are automatic. A simulation study is conducted comparing the proposed approach to standard methods of handling ties. A recent suggestion, that revives Breslow's approach to tied data, is finally discussed.
Subject headings and genre
- NATURVETENSKAP Matematik Sannolikhetsteori och statistik hsv//swe
- NATURAL SCIENCES Mathematics Probability Theory and Statistics hsv//eng
- NATURVETENSKAP Data- och informationsvetenskap Bioinformatik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Bioinformatics hsv//eng
- Breslow's method
- Cox regression
- Efron's method
- partial likelihood
- profile likelihood
- survival analysis
- tied data
- Statistics
- Statistik
- Biostatistics
- Biostatistik
Added entries (persons, corporate bodies, meetings, titles ...)
- Lindkvist, MarieUmeå universitet,Statistiska institutionen(Swepub:umu)mali0004 (author)
- Umeå universitetStatistiska institutionen (creator_code:org_t)
Related titles
- In:Communications in statistics. Simulation and computation: Taylor & Francis37:4, s. 679-6860361-09181532-4141
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