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Titlebook: Survival Analysis: State of the Art; John P. Klein,Prem K. Goel Book 1992 Springer Science+Business Media B.V. 1992 Estimator.Radiologiein

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樓主: HEIR
21#
發(fā)表于 2025-3-25 04:05:26 | 只看該作者
0168-132X In addition to statisticians and biostatisticians, researchers in this area include epidemiologists, reliability engineers, demographers and economists. The economists survival analysis by the name of duration analysis and the analysis of transition data. We attempted to bring together leading rese
22#
發(fā)表于 2025-3-25 09:14:12 | 只看該作者
23#
發(fā)表于 2025-3-25 14:57:50 | 只看該作者
Bayesian Nonparametric Survival Analysis: A Comparison of the Kaplan-Meier and Berliner-Hill Estimattime of a new patient given a treatment, both for prediction purposes and as an estimator of the true survival function. It is proved that the BH estimator always gives more mass to the upper tail of the distribution than does the KM estimator, sometimes substantially more. For example, when there a
24#
發(fā)表于 2025-3-25 19:21:31 | 只看該作者
Modelling Time-Varying Hazards and Covariate Effectsich the regression parameters ‘evolve’ over the survival time axis. Suitable models for exploratory data analysis involve parameters changing according to random walk mechanisms, modelling the prior view that parameter values in consecutive intervals of the time axis are more likely to be close than
25#
發(fā)表于 2025-3-25 23:52:18 | 只看該作者
Analysis of Trials with Treatment — Individual Interactionsr all individuals and that all relevant covariates are measured and affect the failure rate by multiplying the hazard function by a constant that does not change with follow up time. The situation in which unmeasured covariates exist was studied by Clayton and Cuzick (1985, 1986), where it was shown
26#
發(fā)表于 2025-3-26 01:51:02 | 只看該作者
27#
發(fā)表于 2025-3-26 05:10:32 | 只看該作者
28#
發(fā)表于 2025-3-26 09:43:04 | 只看該作者
29#
發(fā)表于 2025-3-26 12:57:52 | 只看該作者
Some Issues in the Collection and Analysis of Field Reliability Data and surveys. We discuss these sources in relation to the estimation of failure time distributions and event rates. Important issues include missing information, reporting delays, the need to combine information from different sources, and the possibility of selection bias.
30#
發(fā)表于 2025-3-26 19:06:09 | 只看該作者
Bayesian Modeling For Fatigue Crack Curvestive maintenance programs for many engineering structures, including critical aerospace components. Interest is centered on modeling the lifetime process, .(.), which represents the number of load cycles that elapse before a dominant (fatigue) crack evolves to a specified crack length, .. The tradit
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