Interpreting and Visualizing Regression Models Using Stata - Image 1

Price loading...

Taylor & Francis Interpreting and Visualizing Regression Models Using Stata

Name: Interpreting and Visualizing Regression Models Using Stata
Brand: Taylor & Francis

Research

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models with continuous predictors (modeled linearly, using polynomials, and piecewise), interactions of continuous predictors, categorical predictors, interactions of categorical predictors, and interactions of continuous and categorical predictors. The book also illustrates how to interpret and visualize results from multilevel models, models where time is a continuous predictor, models with time as a categorical predictor, nonlinear models (such as logistic or ordinal logistic regression), and models involving complex survey data. The examples illustrate the use of the margins, marginsplot, contrast, and pwcompare commands. This new edition reflects new and enhanced features added to Stata, most importantly the ability to label statistical output using value labels associated with factor variables. As a result, output regarding marital status is labeled using intuitive labels like Married and Unmarried instead of using numeric values such as 1 and 2. All the statistical output in this new edition capitalizes on this new feature, emphasizing the interpretation of results based on variables labeled using intuitive value labels. Additionally, this second edition illustrates other new features, such as using transparency in graphics to more clearly visualize overlapping confidence intervals and using small sample-size estimation with mixed models. If you ever find yourself wishing for simple and straightforward advice about how to interpret and visualize regression models using Stata, this book is for you.

Key Features

New Store Stock

Product Specifications

Brand: Taylor & Francis
Format: paperback
ASIN: 1597183210
Category: Books > Subjects > Health, Family & Lifestyle > Psychology & Psychiatry > Methodology > Research
Domain: Amazon UK
Publication Date: 18 December 2020
Listed Since: 11 November 2020

Barcode

No barcode data available

Taylor & Francis Interpreting and Visualizing Regression Models Using Stata

Price History & Forecast

No Price Data Available

Price Distribution

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Microeconometrics Using Stata, Second Edition, Volume II: Nonlinear Models and Casual Inference Methods: 2

Data Analysis Using Stata, Third Edition

An Introduction to Modern Econometrics Using Stata

Microeconometrics Using Stata, Second Edition, Volume I: Cross-Sectional and Panel Regression Models: 1

Multilevel and Longitudinal Modeling Using Stata, Volume II: Categorical Responses, Counts, and Survival: 2

Introduction to Linear Models and Statistical Inference

Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata: 12 (Advanced Quantitative Techniques in the Social Sciences)

Linear Models in Statistics

Agricultural Statistical Data Analysis Using Stata

CRC Press Agricultural Statistical Data Analysis Using Stata

Bayesian Analysis with Stata

A Visual Guide to Stata Graphics

R For Marketing Research and Analytics (Use R!)

Multilevel and Longitudinal Modeling Using Stata, Volume I: Continuous Responses: 1

Applied Survival Analysis: Regression Modeling of Time-to-Event Data (Wiley Series in Probability and Statistics)

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Using R and RStudio for Data Management, Statistical Analysis, and Graphics

Logistic Regression Models (Chapman & Hall/CRC Texts in Statistical Science)

A Gentle Introduction to Stata, Revised Sixth Edition

Multiple Regression: Testing and Interpreting Interactions

Regression Modeling with SAS - CRC Press Textbook

Statistical Methods for Categorical Data Analysis

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)