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A flexible,computationally efficient method for fitting the proportional hazards model to interval‐censored data |
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| Authors: | Lianming Wang Christopher S. McMahan Michael G. Hudgens Zaina P. Qureshi |
| Affiliation: | 1. Department of Statistics, University of South Carolina, Columbia, South Carolina 29208, U.S.A.;2. Department of Mathematical Sciences, Clemson University, Clemson, South Carolina 29634, U.S.A.;3. Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A.;4. Department of Health Services Policy and Management, University of South Carolina, Columbia, South Carolina 29208, U.S.A. |
| Abstract: | |
| Keywords: | EM algorithm Interval‐censored data Latent Poisson random variables Monotone splines Proportional hazards model |