Topics in Modelling of Clustered Data
Published on 29. May 2002
336 pages
978-1-4200-3588-9 (ISBN)
Description
Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the contributions of leading specialists in the field, Topics in Modelling of Clustered Data describes the tools and techniques for modelling the clustered data often encountered in medical, biological, environmental, and s
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Statisticians, biostatisticians, health scientists, epidemiologists and those working in toxicity, environmental science, and social science
Illustrations
44 s/w Abbildungen, 52 s/w Tabellen, 2 s/w Photographien bzw. Rasterbilder
44 b/w images, 52 tables, 2 halftones and 500 equations
File size
4,53 MB
ISBN-13
978-1-4200-3588-9 (9781420035889)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Marc Aerts | Geert Molenberghs | Louise M. Ryan
Topics in Modelling of Clustered Data
Book
09/2019
1st Edition
Chapman & Hall/CRC
€96.00
Shipment within 15-20 days
Marc Aerts | Geert Molenberghs | Louise M. Ryan
Topics in Modelling of Clustered Data
Book
05/2002
1st Edition
Chapman & Hall/CRC
€227.50
Shipment within 15-20 days
Persons
Marc Aerts, Helena Geys, Geert Molenberghs, Louise M. Ryan
Content
Issues in Modelling Clustered Data and Motivating Examples. Model Families and Estimating Methods. Pseudo-Likelihood Estimation. Pseudo-Likelihood Inference. Flexible Polynomial Models. Assessing the Fit of a Model. Quantitative Risk Assessment. Model Misspecification. Exact Dose-Response Inference. Individual Level Covariates. Combined Continuous and Discrete Outcomes. Multilevel Modeling of Complex Survey Data.
