Statistical Methods for Mediation, Confoun...

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Sprache: Englisch

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Beschreibung

This book introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.

Über den Autor

Qingzhao Yu is Professor in Biostatistics, Louisiana State University Health Sciences Center.

Bin Li is Associate Professor in Statistics, Louisiana State University.

Inhaltsverzeichnis

1 Introduction 2 A Review of Third-Variable Effect Inferences 3 Advanced Statistical Modeling and Machine Learning Methods Used in the Book 4 The General Third-Variable Effect Analysis Method 5 The Implementation of General Third-Variable Effect Analysis Method 6 Assumptions for the General Third-Variable Analysis 7 Multiple Exposures and Multivariate Responses 8 Regularized Third-Variable Effect Analysis for High-Dimensional Dataset 9 Interaction/Moderation Analysis with Third-Variable Effects 10 Third-Variable Effect Analysis with Multilevel Additive Models 11 Bayesian Third-Variable Effect Analysis 12 Other Issues

Details

Erscheinungsjahr:	2024
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Importe , Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	Einband - flex.(Paperback)
ISBN-13:	9781032220086
ISBN-10:	1032220082
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Yu, Qingzhao Li, Bin
Hersteller:	Chapman and Hall/CRC
Verantwortliche Person für die EU:	Taylor & Francis Verlag GmbH, Kaufingerstr. 24, D-80331 München, gpsr@taylorandfrancis.com
Maße:	234 x 156 x 16 mm
Von/Mit:	Qingzhao Yu (u. a.)
Erscheinungsdatum:	27.05.2024
Gewicht:	0,45 kg