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Bibliographic Detail
Publisher
Stata Corp
Publication date
April 2, 2012
Binding
Paperback
Edition
3 revised
Book category
Adult Non-Fiction
ISBN-13
9781597181082
ISBN-10
1597181080
Dimensions
2.50 by 7.25 by 9 in.
Weight
4.55 lbs.
Original list price
$149.95
Other format details
sci/tech
Amazon.com says people who bought this book also bought:
Applied Longitudinal Data Analysis | Data Analysis Using Regression And Multilevel/Hierarchical Models | Multilevel Modeling in Plain Language | Regression Models for Categorical Dependent Variables Using Stata | Discovering Structural Equation Modeling Using Stata | Multilevel Analysis | A Visual Guide to Stata Graphics | Interpreting and Visualizing Regression Models Using Stata | The Workflow of Data Analysis Using Stata
Applied Longitudinal Data Analysis | Data Analysis Using Regression And Multilevel/Hierarchical Models | Multilevel Modeling in Plain Language | Regression Models for Categorical Dependent Variables Using Stata | Discovering Structural Equation Modeling Using Stata | Multilevel Analysis | A Visual Guide to Stata Graphics | Interpreting and Visualizing Regression Models Using Stata | The Workflow of Data Analysis Using Stata
Summaries and Reviews
Editions
Paperback
The price comparison is for this edition
3 revised edition from Stata Corp (April 2, 2012)
9781597181082 | details & prices | 7.25 × 9.00 × 2.50 in. | 4.55 lbs | List price $149.95
from Stata Corp (August 15, 2005)
9781597180085 | details & prices | 317 pages | 7.00 × 9.00 × 0.75 in. | 1.55 lbs | List price $89.95
About: Presenting a thorough and accessible treatment of generalized linear mixed models, also known as multilevel or hierarchical models, Multilevel and Longitudinal Modeling Using Stata explains the models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results.
About: Presenting a thorough and accessible treatment of generalized linear mixed models, also known as multilevel or hierarchical models, Multilevel and Longitudinal Modeling Using Stata explains the models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results.
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