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icensmis

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Software:25352
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swMATH13438CRANicensmisMaRDI QIDQ25352

Study Design and Data Analysis in the Presence of Error-Prone Diagnostic Tests and Self-Reported Outcomes

Xiangdong Gu

Last update: 2 September 2021

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 1.5.0

Source code repository: https://github.com/cran/icensmis


Cites work

  • Semiparametric time to event models in the presence of error-prone, self-reported outcomes—With application to the women’s health initiative
  • Study design for non-recurring, time-to-event outcomes in the presence of error-prone diagnostic tests or self-reports
  • Bayesian variable selection for high dimensional predictors and self-reported outcomes


Described by source

  • Semiparametric time to event models in the presence of error-prone, self-reported outcomes -- with application to the women's health initiative


Related Items (4)

Repeated responses in misclassification binary regression: A Bayesian approach ⋮ icRSF ⋮ Regression analysis of misclassified current status data ⋮ Interval-censored data with misclassification: a Bayesian approach


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This page was last edited on 5 March 2024, at 20:24.
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