## Analysis Of Longitudinal Data

Author: Peter Diggle
Publisher: OUP Oxford
ISBN: 0191664332
Size: 60.57 MB
Format: PDF, Kindle
View: 1396

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.

## Multivariate Time Series Analysis And Applications

Author: William W. S. Wei
Publisher: John Wiley & Sons
ISBN: 1119502942
Size: 71.62 MB
Format: PDF, Docs
View: 5317

An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following the highly successful and much lauded book, Time Series Analysis—Univariate and Multivariate Methods, this new work by William W.S. Wei focuses on high dimensional multivariate time series, and is illustrated with numerous high dimensional empirical time series. Beginning with the fundamentalconcepts and issues of multivariate time series analysis,this book covers many topics that are not found in general multivariate time series books. Some of these are repeated measurements, space-time series modelling, and dimension reduction. The book also looks at vector time series models, multivariate time series regression models, and principle component analysis of multivariate time series. Additionally, it provides readers with information on factor analysis of multivariate time series, multivariate GARCH models, and multivariate spectral analysis of time series. With the development of computers and the internet, we have increased potential for data exploration. In the next few years, dimension will become a more serious problem. Multivariate Time Series Analysis and its Applications provides some initial solutions, which may encourage the development of related software needed for the high dimensional multivariate time series analysis. Written by bestselling author and leading expert in the field Covers topics not yet explored in current multivariate books Features classroom tested material Written specifically for time series courses Multivariate Time Series Analysis and its Applications is designed for an advanced time series analysis course. It is a must-have for anyone studying time series analysis and is also relevant for students in economics, biostatistics, and engineering.

## Unified Methods For Censored Longitudinal Data And Causality

Author: Mark J. van der Laan
Publisher: Springer Science & Business Media
ISBN: 0387217002
Size: 41.64 MB
Format: PDF, Mobi
View: 2244

A fundamental statistical framework for the analysis of complex longitudinal data is provided in this book. It provides the first comprehensive description of optimal estimation techniques based on time-dependent data structures. The techniques go beyond standard statistical approaches and can be used to teach masters and Ph.D. students. The text is ideally suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data.

## Clinical Trials

Publisher: John Wiley & Sons
ISBN: 1118959213
Size: 73.17 MB
Format: PDF, Kindle
View: 785

## Encyclopedia Of Quantitative Risk Analysis And Assessment

Author: Edward L. Melnick
Publisher: John Wiley & Sons Inc
ISBN:
Size: 27.74 MB
Format: PDF, ePub, Docs
View: 2345

## Amstat News

Author:
Publisher:
ISBN:
Size: 13.91 MB
Format: PDF, ePub, Docs
View: 1458

## Nonparametric Analysis Of Longitudinal Data In Factorial Experiments

Author: Edgar Brunner
Publisher: Wiley-Interscience
ISBN:
Size: 20.36 MB
Format: PDF, Kindle
View: 3798

The authoritative reference on nonparametric methods for evaluating longitudinal data in factorial designs Broadening the range of techniques that can be used to evaluate longitudinal data, Nonparametric Analysis of Longitudinal Data in Factorial Experiments presents nonparametric methods of evaluation that supplement the generalized linear models approach. Emphasizing the practical application of these methods in statistical procedures, this book provides a unified approach for the analysis of factorial designs involving longitudinal data that is appropriate for metric data, count data, ordered categorical data, and dichotomous data. Topics covered include nonparametric models, effects and hypotheses in experimental design, estimators for relative effects, experiments for one and several groups of subjects, multifactorial experiments, dependent replications, and experiments with numerous time points. The basic mathematical principles for the methods introduced here are described in theory, consistent with the book's minimal math requirements. Simple approximations for small data sets are provided, as well as ample chapter exercises to test skills, an appendix that includes original data for the examples used throughout the book, and downloadable SAS-IML macros for implementing the more extensive calculations. All applications are designed to be useful in many fields. Generously supplemented with more than 110 graphs and tables, Nonparametric Analysis of Longitudinal Data in Factorial Experiments is an essential reference for statisticians and biometricians, researchers in clinical trials, psychological studies, and in the fields of forestry, agriculture, sociology, ecology, and biology, as well as graduate students in statistics and biostatistics.

## Centralblatt F R Das Gesamte Forstwesen

Author:
Publisher:
ISBN:
Size: 65.89 MB
Format: PDF, ePub, Docs
View: 2540

## Symbolic Computation For Statistical Inference

Author: David F. Andrews
Publisher: Oxford University Press on Demand
ISBN: 9780198507055
Size: 13.91 MB
Format: PDF, Docs
View: 513

The development of statistical computing has had a huge impact on the subject, freeing statisticians from the need to perform tedious calculations and allowing researchers to perform progressively more complex operations. This book gives a coherent presentation of the theory underlying the computations, and provides a framework where computer algorithms are used to do much of the calculation inherent in statistics. Beginning with an outline of algorithms to cover much of an undergraduate course in probability and statistics, it then goes on to discuss various common distributions, likelihood, bootstrap and sampling.

## Biometrics

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ISBN:
Size: 12.28 MB
Format: PDF, Kindle
View: 1479