New from the Stata® Bookstore
Biostatistics in Public Health Using Stata
Authors:
Erick L. Suárez, Cynthia M. Pérez, Graciela M. Nogueras, and Camille Moreno-Gorrín
Publisher:
CRC Press
Copyright:
2016
Pages:
190; hardcover
Price:
$79.50
This book demonstrates the use of Stata for statistical analyses
common in public health research and in many other disciplines. For
those new to Stata, the authors first provide an introduction to
Stata’s interface and to commands for descriptive statistics and
graphics. In the discussions of statistical procedures that follow,
readers will find extensive coverage of Stata’s menus, dialog
boxes, commands, and output. Topics include linear regression,
analysis of variance, logistic regression, Poisson regression,
survival analysis, multilevel mixed-effects models, and power and
sample-size analysis.
Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives
Authors:
Andrew S. Fullerton and Jun Xu
Publisher:
CRC Press
Copyright:
2016
Pages:
171; hardcover
Price:
$69.75
In Ordered Regression Models: Parallel, Partial, and Non-Parallel
Alternatives, Fullerton and Xu provide a thorough treatment of
models for ordinal data. This book will appeal to researchers from
any discipline who wish to build on their knowledge of linear,
logistic, and probit regression and learn both theoretical and
practical concepts related to a variety of models for ordinal
outcomes.
As the title indicates, the models presented are partitioned into
three groups based on whether a parallel regression assumption is
made for all covariates, for a subset of the covariates, or for none
of the covariates. Under each of these assumptions, the authors
describe three models—cumulative, continuation ratio, and adjacent
category—from which a researcher can choose, depending on the
probability of interest. They also include worked examples with real
data and provide advice regarding interpretation, presentation of
results, choice of model, and common problems that arise. Example
Stata commands for fitting these models are shown at the end of
each chapter.
Principles and Practice of Structural Equation Modeling, Fourth Edition
Author:
Rex B. Kline
Publisher:
Guilford Press
Copyright:
2016
Pages:
534; paperback
Price:
$54.50
The fourth edition of Principles and Practice of Structural Equation
Modeling by Rex Kline, like previous editions, is an ideal text for
both students and researchers who want to learn the fundamental
concepts of structural equation modeling (SEM) and then apply it to
their own data. Along with introducing different types of structural
equation models, Kline carefully discusses practical issues, such as
data preparation, assumptions, identification, and interpretation.
Easy-to-follow examples use real data, and the book's website
provides files demonstrating how to reproduce results using a
variety of software packages, including Stata.
In the fourth edition, Kline adds new coverage of Judea Pearl's
structural causal modeling, confirmatory factor analysis with
ordinal indicators, bootstrapping, significance testing, and item
response theory.
Browse these and other titles in our Bookstore.
Biostatistics in Public Health Using Stata
| Authors: | Erick L. Suárez, Cynthia M. Pérez, Graciela M. Nogueras, and Camille Moreno-Gorrín |
|---|---|
| Publisher: | CRC Press |
| Copyright: | 2016 |
| Pages: | 190; hardcover |
| Price: | $79.50 |
This book demonstrates the use of Stata for statistical analyses common in public health research and in many other disciplines. For those new to Stata, the authors first provide an introduction to Stata’s interface and to commands for descriptive statistics and graphics. In the discussions of statistical procedures that follow, readers will find extensive coverage of Stata’s menus, dialog boxes, commands, and output. Topics include linear regression, analysis of variance, logistic regression, Poisson regression, survival analysis, multilevel mixed-effects models, and power and sample-size analysis.
Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives
| Authors: | Andrew S. Fullerton and Jun Xu |
|---|---|
| Publisher: | CRC Press |
| Copyright: | 2016 |
| Pages: | 171; hardcover |
| Price: | $69.75 |
In Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives, Fullerton and Xu provide a thorough treatment of models for ordinal data. This book will appeal to researchers from any discipline who wish to build on their knowledge of linear, logistic, and probit regression and learn both theoretical and practical concepts related to a variety of models for ordinal outcomes.
As the title indicates, the models presented are partitioned into three groups based on whether a parallel regression assumption is made for all covariates, for a subset of the covariates, or for none of the covariates. Under each of these assumptions, the authors describe three models—cumulative, continuation ratio, and adjacent category—from which a researcher can choose, depending on the probability of interest. They also include worked examples with real data and provide advice regarding interpretation, presentation of results, choice of model, and common problems that arise. Example Stata commands for fitting these models are shown at the end of each chapter.
Principles and Practice of Structural Equation Modeling, Fourth Edition
| Author: | Rex B. Kline |
|---|---|
| Publisher: | Guilford Press |
| Copyright: | 2016 |
| Pages: | 534; paperback |
| Price: | $54.50 |
The fourth edition of Principles and Practice of Structural Equation Modeling by Rex Kline, like previous editions, is an ideal text for both students and researchers who want to learn the fundamental concepts of structural equation modeling (SEM) and then apply it to their own data. Along with introducing different types of structural equation models, Kline carefully discusses practical issues, such as data preparation, assumptions, identification, and interpretation. Easy-to-follow examples use real data, and the book's website provides files demonstrating how to reproduce results using a variety of software packages, including Stata.
In the fourth edition, Kline adds new coverage of Judea Pearl's structural causal modeling, confirmatory factor analysis with ordinal indicators, bootstrapping, significance testing, and item response theory.
Browse these and other titles in our Bookstore.
