etidronate
发表于 2025-3-28 15:33:50
Maximum Likelihood Estimation of Semiparametric Regression Models with Interval-Censored Dataobserved at an exact time point but is rather known to occur within a time interval induced by periodic examinations. We formulate the effects of potentially time-dependent covariates on the failure time through the semiparametric Cox proportional hazards model. We study nonparametric maximum likeli
Dappled
发表于 2025-3-28 19:37:53
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不发音
发表于 2025-3-29 01:15:04
Copula Models and Diagnostics for Multivariate Interval-Censored Data from the non-fatal events are sometimes unobservable due to “interval-censoring” since the event status can only be determined at intermittent assessment times. In this chapter, we introduce a class of copula models to analyze multivariate interval-censored outcomes. It is a joint approach that dir
主讲人
发表于 2025-3-29 05:55:31
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Sputum
发表于 2025-3-29 08:41:12
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男生戴手铐
发表于 2025-3-29 12:13:02
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Daily-Value
发表于 2025-3-29 16:15:08
The ,: An R Package for Nonparametric Inference of Bivariate Interval-Censored Datainterval censoring that gives rise to bivariate interval-censored data. Nonparametric inference of bivariate interval-censored data focuses on estimation of the joint distribution function of event times or the joint survival function. The conventional nonparametric maximum likelihood estimator suff
狗舍
发表于 2025-3-29 23:12:54
Joint Modeling for Longitudinal and Interval-Censored Survival Data: Application to IMPI Multi-Centewith the associated event times. These models are useful in two practical applications; firstly focusing on survival outcome whilst accounting for time-varying covariates measured with error and secondly focusing on the longitudinal outcome while controlling for informative censoring. The joint mode
Incorporate
发表于 2025-3-30 01:17:54
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细胞膜
发表于 2025-3-30 05:53:24
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