The SAGE handbook of regression analysis and causal inference / edited by Henning Best and Christof Wolf.

Other author Best, Henning, 1975-
Other author Wolf, Christof.
Format Electronic
Publication InfoLos Angeles [Calif.] : SAGE Reference, 2015.
Descriptionix, 414 pages : illustrations ; 25 cm
Supplemental ContentFull text available from SAGE Research Methods Core
Subjects
Mathematical statistics.
Regression analysis.

Portion of title Regression analysis and causal inference
Contents Estimation techniques : ordinary least squares and maximum likelihood / Martin Elff -- Bayesian estimation of regression models / Susumu Shikano -- Linear regression / Christof Wolf, Henning Best -- Regression analysis : assumptions and diagnostics / Bart Meuleman, Geert Loosveldt, Viktor Emonds -- Non-linear and non-additive effects in linear regression / Henning Lohmann -- The multilevel regression model / Joop Hox, Leoniek Wijngaards-de Meij -- Logistic regression / Henning Best, Christof Wolf -- Regression models for nominal and ordinal outcomes / J. Scott Long -- Graphical display of regression results / Gerrit Bauer -- Regression with complex samples / Steven G. Heeringa, Brady T. West, Patricia A. Berglund -- Matching estimators for treatment effects / Markus Gangl -- Instrumental variables regression / Christopher Muller, Christopher Winship, Stephen L. Morgan -- Regression discontinuity designs in social sciences / David S. Lee, Thomas Lemieux -- Fixed-effects panel regression / Josef Bruderl, Volker Ludwig -- Event history analysis / Hans-Peter Blossfeld, Gwendolin J. Blossfeld -- Time-series cross-section / Jessica Fortin-Rittberger.
Bibliography noteIncludes bibliographical references and indexes.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2014931157
ISBN9781446252444
ISBN1446252442

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