Suchergebnisse - "Self‐consistency algorithm"

Semiparametric Regression Analysis of Interval-Censored Competing Risks Data von Mao, Lu, Lin, Dan-Yu, Zeng, Donglin

“… Interval-censored competing risks data arise when each study subject may experience an event or failure from one of several causes and the failure time is not observed directly but rather is known …”
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Semiparametric regression analysis of failure time data with dependent interval censoring von Chen, Chyong‐Mei, Shen, Pao‐sheng

“… Interval‐censored failure‐time data arise when subjects are examined or observed periodically such that the failure time of interest is not examined exactly but only known to be bracketed between two adjacent observation times …”
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Missing Information Principle: A Unified Approach for General Truncated and Censored Survival Data Problems von Sun, Yifei, Qin, Jing, Huang, Chiung-Yu

“… It is well known that truncated survival data are subject to sampling bias, where the sampling weight depends on the underlying truncation time distribution …”
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A Semiparametric Regression Cure Model for Interval-Censored Data von Liu, Hao, Shen, Yu

“… optimization techniques, yielding a self-consistency algorithm for the maximization step. We prove the strong consistency of the maximum likelihood estimators …”
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Discrete‐Time Nonparametric Estimation for Semi‐Markov Models of Chain‐of‐Events Data Subject to Interval Censoring and Truncation von Sternberg, Maya R., Satten, Glen A.

“… ‐of‐events data may also be subject to truncation when individuals can only be observed if a certain event in the chain (e.g., the final event) has occurred …”
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Discrete-time nonparametric estimation for chain-of-events data subject to interval censoring and truncation von Sternberg, Maya Raquel

“… In complex survival or longitudinal studies, interest often centers on estimating the time between a series or chain of events. In these cases, the data may be …”
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A functional inference for multivariate current status data with mismeasured covariate von Wen, Chi-Chung, Huang, Yih-Huei, Wu, Yuh-Jenn

“… (hyperglycemia, hypertension, hyperlipidemia) are subject to current status censoring and the covariate self-reported body mass index may be subject to measurement error, we propose a functional inference method under the proportional odds model …”
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Semiparametric transformation joint models for longitudinal covariates and interval-censored failure time von Chen, Chyong-Mei, Shen, Pao-sheng, Tseng, Yi-Kuan

“… In many clinical trials and epidemiology research, subjects are followed-up repeatedly, and repeated measurements on longitudinal covariates as well as an observation on a possibly censored time …”
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