نتایج جستجو برای: additive covariate model

تعداد نتایج: 2160069  

Journal: :Lifetime data analysis 2002
Jean-François Dupuy Mounir Mesbah

Survival studies usually collect on each participant, both duration until some terminal event and repeated measures of a time-dependent covariate. Such a covariate is referred to as an internal time-dependent covariate. Usually, some subjects drop out of the study before occurrence of the terminal event of interest. One may then wish to evaluate the relationship between time to dropout and the ...

Journal: :Statistics in Transition New Series 2018

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس - دانشکده منابع طبیعی و علوم دریایی 1393

روابط بین مراحل زندگی (لاروی، گذر و بلوغ) شانه دار mnemiopsis leidyi و شاخصه های فیزیکوشیمیایی و زیستی با استفاده از مدل های مختلف بر اساس تغییرات زمانی (ماه) و مکانی (ترانسکت، ایستگاه و لایه) در امتداد سواحل مازندران طی سال 1391 ارزیابی شد. به منظور بالا بردن عملکرد مدل ها، از گونه های غالب پلانکتونی در هر فصل (90% تراکم کل) برای مدل سازی استفاده گردید. برای درک بهتر از وضعیت اکولوژیکی شانه ...

2017
Robert Sheridan Martin Vogt Patrick Walters Brian Goldman

Three (3) different methods (logistic regression, covariate shift and k-NN) were applied to five (5) internal datasets and one (1) external, publically available dataset where covariate shift existed. In all cases, k-NN’s performance was inferior to either logistic regression or covariate shift. Surprisingly, there was no obvious advantage for using covariate shift to reweight the training data...

2008
Damla Şentürk Hans-Georg Müller

We propose covariate adjustment methodology for a situation where one wishes to study the dependency of a generalized response on predictors while both predictors and response are distorted by an observable covariate. The distorting covariate is thought of as a size measurement that affects predictors in a multiplicative fashion. The generalized response is modeled by means of a random threshol...

Journal: :Computational Statistics & Data Analysis 2010
Yasuhiro Omori Koji Miyawaki

Tobit models are extended to allow threshold values which depend on individuals’ characteristics. In such models, the parameters are subject to as many inequality constraints as the number of observations, and the maximum likelihood estimation which requires the numerical maximisation of the likelihood is often difficult to be implemented. Using a Bayesian approach, a Gibbs sampler algorithm is...

2016
Georgia McGaughey W. Patrick Walters Brian Goldman Robert Sheridan Martin Vogt Georgia McGaughey Martin Vogt

Three (3) different methods (logistic regression, covariate shift and k-NN) were applied to five (5) internal datasets and one (1) external, publically available dataset where covariate shift existed. In all cases, k-NN's performance was inferior to either logistic regression or covariate shift. Surprisingly, there was no obvious advantage for using covariate shift to reweight the training data...

Journal: :American journal of epidemiology 2004
Michal Abrahamowicz Roxane Du Berger Daniel Krewski Richard Burnett Gillian Bartlett Robyn M Tamblyn Karen Leffondré

The impact of covariate aggregation, well studied in relation to linear regression, is less clear in the Cox model. In this paper, the authors use real-life epidemiologic data to illustrate how aggregating individual covariate values may lead to important underestimation of the exposure effect. The issue is then systematically assessed through simulations, with six alternative covariate represe...

Journal: :Journal 2004
Albert O Adegbembo Philip A Watson Shanin Rokni

AIM Data on the weights of amalgam restorations are lacking. The aim of this study was to determine these weights and to develop criteria to facilitate their estimation. METHODS Four separate regression models with 4 covariates in various combinations were used to estimate the weight of amalgam restorations. Model I, based on 514 restorations from both natural and anatomical replica teeth, co...

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