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The SAGE Handbook of Regression Analysis and Causal Inference

THE SAGE HANDBOOK OF REGRSSION ANALYSIS & CAUSAL INFRNC

Mathematics

Mathematics & Science

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

Covering both general and advanced aspects of multivariate methods, this <EM>Handbook</EM> focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis and provides readers with an introduction to and explorati

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
Contributors.
Preface.
Introduction.
Estimation and Inference.
1: Estimation Techniques: Ordinary Least Squares and Maximum Likelihood.
2: Bayesian Estimation of Regression Models.
Regression Analysis for Cross-Sections.
3: Linear Regression.
4: Regression Analysis: Assumptions and Diagnostics.
5: Non-linear and Non-Additive Effects in Linear Regression.
6: The Multilevel Regression Model.
7: Logistic Regression.
8: Regression Models for Nominal and Ordinal Outcomes.
9: Graphical Display of Regression Results.
10: Regression with Complex Samples.
Causal Inference and Analysis of Longitudinal Data.
11: Matching Estimators for Treatment Effects.
12: Instrumental Variables Regression.
13: Regression Discontinuity Designs in Social Sciences.
14: Fixed-Effects Panel Regression.
15: Event History Analysis.
16: Time-Series Cross-Section.
Name Index.
Subject Index.

The SAGE Handbook of Regression Analysis and Causal Inference.css-1p8rvzy{position:absolute;padding-left:8px;}

The SAGE Handbook of Regression Analysis and Causal Inference