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Titlebook: Statistical Modelling in Biostatistics and Bioinformatics; Selected Papers Gilbert MacKenzie,Defen Peng Book 2014 Springer International Pu

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Multivariate Survival Models Based on the GTDLta we extend a non-PH model, the generalized time-dependent logistic (GTDL) survival model (MacKenzie, J R Stat Soc 45:21–34, 1996; MacKenzie, Stat Med 16:1831–1843, 1997), to include random effects. The extension leads to two different, but related, non-PH models according to the method of incorpor
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Frailty Models with Structural Dispersionels. Below we develop two Gamma frailty models with parametric basic hazard functions: one with a proportional basic hazard function and the other with a non-proportional basic hazard function. It transpires that both of the resulting marginal frailty models have non-proportional hazard functions. W
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Modelling Seasonality and Structural Breaks: Visitors to NZ and 9/11e nonparametric techniques, we present a new approach for estimating parametric structural break models that perform well. We suggest that iterative estimation methods are a simple but important feature of this approach when modelling seasonal data. The methodology is illustrated by simulation and t
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Comparing Robust Regression Estimators to Detect Data Clusters: A Case Studyegression models based on .-estimators are likely to be unstable. Resorting to the inherent properties of robustness of the estimates based on the Integrated Square Error criterion we compare the results arising from .. estimates with those obtained from some common .-estimators. The discrepancy bet
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