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September 22, 2015Biometrics

A Flexible, Computationally Efficient Method for Fitting the Proportional Hazards Model to Interval-Censored Data

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Authors

LWLianming WangCMChristopher S. McMahanMHMichael G. Hudgens

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Wang et al. (2015) studied this question.

synapsesocial.com/papers/69d75cbe5f9a1dad5348feb2https://doi.org/10.1111/biom.12389
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Markov Chain Monte Carlo EM Algorithm for Analyzing Interval-Censored Data under the Cox Proportional Hazards Model1998 · 71 citations
  2. 2Semiparametric varying‐coefficient model for interval censored data with a cured proportion2013 · 30 citations
  3. 3A Multiple Imputation Approach to Cox Regression with Interval‐Censored Data2000 · 162 citations
  4. 4Hazard Regression for Interval‐Censored Data with Penalized Spline2003 · 128 citations
  5. 5On Algorithms for the Nonparametric Maximum Likelihood Estimator of the Failure Function With Censored Data2004 · 31 citations