Statistical methods for mediation, confounding and moderation analysis using R and SAS (Record no. 5664)

MARC details
000 -LEADER
fixed length control field 02041nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240206142512.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240206b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367365479
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number YU
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Yu, Qingzhao
245 ## - TITLE STATEMENT
Title Statistical methods for mediation, confounding and moderation analysis using R and SAS
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boca Raton
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xv, 277 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 130.00
490 ## - SERIES STATEMENT
Series statement Chapman & Hall/CRC Biostatistics Series
520 ## - SUMMARY, ETC.
Summary, etc. Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers.<br/><br/>Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carried by individual third-variables can be separated from the total effect. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.<br/><br/>Key Features:<br/><br/>Parametric and nonparametric method in third variable analysis<br/>Multivariate and Multiple third-variable effect analysis<br/>Multilevel mediation/confounding analysis<br/>Third-variable effect analysis with high-dimensional data Moderation/Interaction effect analysis within the third-variable analysis<br/>R packages and SAS macros to implement methods proposed in the book<br/><br/>(https://www.routledge.com/Statistical-Methods-for-Mediation-Confounding-and-Moderation-Analysis/Yu-Li/p/book/9780367365479#)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics - Methodology
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics - Data processing
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Li, Bin
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques 2023-24/1525 26-12-2023 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 02/06/2024 Indica Publishers & Distributors Pvt. Ltd. 9117.55   519.5 YU 005497 02/06/2024 1 14027.00 02/06/2024 Book

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