Topics in Modelling of Clustered Data (Monographs on Statistivs and Applied Probability, 96) - Image 1

£62.59

CRC Press Topics in Modelling of Clustered Data (Monographs on Statistivs and Applied Probability, 96)

Name: Topics in Modelling of Clustered Data (Monographs on Statistivs and Applied Probability, 96)
Brand: CRC Press
Price: 62.59 GBP
Availability: InStock

Public Health

This is the most expensive it has ever been. Walk away.

£63 today · previous high £63 · all-time low £48

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 128 days • 128 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 128 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £48 (54 days, 42.2%)

Price range: £48 - £63

Price levels: 3 different prices over 128 days

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 social science studies. It focuses on providing a comprehensive treatment of marginal, conditional, and random effects models using, among others, likelihood, pseudo-likelihood, and generalized estimating equations methods. The authors motivate and illustrate all aspects of these models in a variety of real applications. They discuss several variations and extensions, including individual-level covariates and combined continuous and discrete outcomes. Flexible modelling with fractional and local polynomials, omnibus lack-of-fit tests, robustification against misspecification, exact, and bootstrap inferential procedures all receive extensive treatment. The applications discussed center primarily, but not exclusively, on developmental toxicity, which leads naturally to discussion of other methodologies, including risk assessment and dose-response modelling. Clearly written, Topics in Modelling of Clustered Data offers a practical, easily accessible survey of important modelling issues. Overview models give structure to a multitude of approaches, figures help readers visualize model characteristics, and a generous use of examples illustrates all aspects of the modelling process.

Product Specifications

Brand: CRC Press
Format: Paperback
ASIN: 0367396106
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > General Medical Issues > Public Health
Domain: Amazon UK
Release Date: 27 September 2019
Listed Since: 25 June 2019

Barcode

No barcode data available

CRC Press Topics in Modelling of Clustered Data (Monographs on Statistivs and Applied Probability, 96)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables: 11 (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Linear Mixed Models: A Practical Guide Using Statistical Software

Mixed Effects Models for Complex Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probab)

Quasi-Least Squares Regression: 132 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Essential Medical Statistics: 11

Multilevel Modeling Methods with Introductory and Advanced Applications (Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching)

Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)

Robust Mixed Model Analysis

Chapman and Hall/CRC Statistical Analytics for Health Data Science

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)

Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools: 66 (Chapman & Hall/CRC Biostatistics Series)

Bayesian Survival Analysis (Springer Series in Statistics)

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Maximum Likelihood Estimation and Inference - With Examples in R, SAS, and ADMB

Numerical Issues in Statistical Computing for the Social Scientist: 431 (Wiley Series in Probability and Statistics)

A First Course in Linear Model Theory (Chapman & Hall/CRC Texts in Statistical Science)

Models for Probability and Statistical Inference: Theory and Applications (Wiley Series in Probability and Statistics)

Computational and Methodological Statistics and Biostatistics: Contemporary Essays in Advancement (Emerging Topics in Statistics and Biostatistics)

Computational and Methodological Statistics and Biostatistics: Contemporary Essays in Advancement (Emerging Topics in Statistics and Biostatistics)

SOME RECENT ADVANCES IN MATHEMATICS AND STATISTICS - PROCEEDINGS OF STATISTICS 2011 CANADA/IMST 2011-FIM XX

Statistical Modelling for Social Researchers: Principles and Practice (Social Research Today)