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Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations.

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Title: Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations.
Authors: Zhang, Ziang1 (AUTHOR) aguero.zhang@mail.utoronto.ca, Stringer, Alex2 (AUTHOR), Brown, Patrick1,3 (AUTHOR), Stafford, Jamie1 (AUTHOR)
Source: Statistical Methods in Medical Research. Jan2023, Vol. 32 Issue 1, p165-180. 16p.
Database: Mathematics Source
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  Data: Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations.
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  Data: <searchLink fieldCode="JN" term="%22Statistical+Methods+in+Medical+Research%22">Statistical Methods in Medical Research</searchLink>. Jan2023, Vol. 32 Issue 1, p165-180. 16p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1177/09622802221134172
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 165
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      – TitleFull: Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations.
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            NameFull: Zhang, Ziang
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            NameFull: Stringer, Alex
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            NameFull: Brown, Patrick
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              Text: Jan2023
              Type: published
              Y: 2023
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              Value: 32
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            – TitleFull: Statistical Methods in Medical Research
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