Nonlinear Models for Repeated Measurement Data, Davidian, Marie
Автор: Barreda, Santiago Название: Bayesian Multilevel Models for Repeated Measures Data ISBN: 1032259620 ISBN-13(EAN): 9781032259628 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Barreda, Santiago Название: Bayesian Multilevel Models for Repeated Measures Data ISBN: 1032259639 ISBN-13(EAN): 9781032259635 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Eric Vittinghoff; David V. Glidden; Stephen C. Shi Название: Regression Methods in Biostatistics ISBN: 1489998543 ISBN-13(EAN): 9781489998545 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.
Автор: Vittinghoff Название: Regression Methods in Biostatistics ISBN: 0387202757 ISBN-13(EAN): 9780387202754 Издательство: Springer Рейтинг: Цена: 11313.00 р. Наличие на складе: Поставка под заказ.
Описание: An introduction to the multipredictor regression methods widely used in biostatistics. This book covers linear models for continuous outcomes; logistic models for binary outcomes; the Cox model for right-censored survival times; repeated-measures models for longitudinal and hierarchical outcomes; and linear models for counts and other outcomes.
Автор: Islam, M. Ataharul Название: Analysis of repeated measures data ISBN: 9811037930 ISBN-13(EAN): 9789811037931 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Linear Models.- Univariate Exponential Family of Distributions.- Generalized Linear Model.- Covariate Dependent Markov Models.- Model for Bivariate Binary Data.- Model for Bivariate Geometric Model.- Model for Bivariate Count Data.- Models for Bivariate Exponential and Weibull Data.- Quasi -Likelihood Methods.- Generalized Estimating Equations.- A Generalized Multivariate Model.- Multistate and Multistage Models.- Analysing Data Using R and SAS.
Автор: Islam M. Ataharul, Chowdhury Rafiqul I. Название: Analysis of Repeated Measures Data ISBN: 9811099677 ISBN-13(EAN): 9789811099670 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Linear Models.- Univariate Exponential Family of Distributions.- Generalized Linear Model.- Covariate Dependent Markov Models.- Model for Bivariate Binary Data.- Model for Bivariate Geometric Model.- Model for Bivariate Count Data.- Models for Bivariate Exponential and Weibull Data.- Quasi -Likelihood Methods.- Generalized Estimating Equations.- A Generalized Multivariate Model.- Multistate and Multistage Models.- Analysing Data Using R and SAS.
Автор: Gueorguieva, Ralitza Название: Statistical methods in psychiatry and related fields ISBN: 036765752X ISBN-13(EAN): 9780367657529 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents, at a non-technical level, several approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and growth mixture models for heterogeneous trajectories over time.
Автор: Crowder, Martin J. , Hand, David J. Название: Analysis of Repeated Measures ISBN: 0367450844 ISBN-13(EAN): 9780367450847 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions. There is a multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the whole spectrum of approaches, beginning with very simple and crude methods, working through intermediate techniques commonly used by consultant statisticians, and concluding with more recent and advanced methods. Those covered include multiple testing, response feature analysis, univariate analysis of variance approaches, multivariate analysis of variance approaches, regression models, two-stage line models, approaches to categorical data and techniques for analysing crossover designs. The theory is illustrated with examples, using real data brought to the authors during their work as statistical consultants.
Автор: Charles S. Davis Название: Statistical Methods for the Analysis of Repeated Measurements ISBN: 1441929762 ISBN-13(EAN): 9781441929761 Издательство: Springer Рейтинг: Цена: 13969.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: I have endeavored to provide a comprehensive introduction to a wide - riety of statistical methods for the analysis of repeated measurements. I envision this book primarily as a textbook, because the notes on which it is based have been used in a semester-length graduate course I have taught since1991.Thiscourseisprimarilytakenbygraduatestudentsinbiostat- tics and statistics, although students and faculty from other departments have audited the course. I also anticipate that the book will be a useful r- erence for practicing statisticians. This assessment is based on the positive responses I have received to numerous short courses I have taught on this topic to academic and industry groups. Althoughmyintentistoprovideareasonablycomprehensiveoverviewof methodsfortheanalysisofrepeatedmeasurements, Idonotviewthisbook as a de?nitive "state of the art" compendium of research in this area. Some general approaches are extremely active areas of current research, and it is not feasible, given the goals of this book, to include a comprehensive summary and list of references. Instead, my focus is primarily on methods that are implemented in standard statistical software packages. As a result, thelevelofdetailonsometopicsislessthaninotherbooks, andsomemore recent methods of analysis are not included. One particular example is the topic of nonlinear mixed models for the analysis of repeated measurements (Davidian and Giltinan, 1995; Vonesh and Chinchilli, 1996). With respect to some of the more recent methods of analysis, I do attempt to mention some of the areas of current research.
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