Confounding in statistical mediation analysis : (Record no. 79022)
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fixed length control field | 02373nam a2200229Ia 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 180926s2017 xx 000 0 und d |
040 ## - CATALOGING SOURCE | |
Transcribing agency | MANILA TYTANA COLLEGES LIBRARY |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Valente, Matthew J. |
245 #0 - TITLE STATEMENT | |
Title | Confounding in statistical mediation analysis : |
Remainder of title | what it is and how to address it / |
Statement of responsibility, etc. | Matthew J. Valente, William E. Pelham III, Heather Smyth, David P. MacKinnon |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Date of publication, distribution, etc. | November 2017 |
336 ## - CONTENT TYPE | |
Content type term | text |
337 ## - MEDIA TYPE | |
Media type term | unmediated |
338 ## - CARRIER TYPE | |
Carrier type term | volume |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
Number of part/section of a work | 64 : 6, page 659-671 |
Title | Journal of Counseling Psychology |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Psychology researchers are often interested in mechanisms underlying how randomized interventions affect outcomes such as substance use and mental health. Mediation analysis is a common statistical method for investigating psychological mechanisms that has benefited from exciting new methodological improvements over the last 2 decades. One of the most important new developments is methodology for estimating causal mediated effects using the potential outcomes framework for causal inference. Potential outcomes-based methods developed in epidemiology and statistics have important implications for understanding psychological mechanisms. We aim to provide a concise introduction to and illustration of these new methods and emphasize the importance of confounder adjustment. First, we review the traditional regression approach for estimating mediated effects. Second, we describe the potential outcomes framework. Third, we define what a confounder is and how the presence of a confounder can provide misleading evidence regarding mechanisms of interventions. Fourth, we describe experimental designs that can help rule out confounder bias. Fifth, we describe new statistical approaches to adjust for measured confounders of the mediator-outcome relation and sensitivity analyses to probe effects of unmeasured confounders on the mediated effect. All approaches are illustrated with application to a real counseling intervention dataset. Counseling psychologists interested in understanding the causal mechanisms of their interventions can benefit from incorporating the most up-to-date techniques into their mediation analyses. |
521 ## - TARGET AUDIENCE NOTE | |
Target audience note | Psychology. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Causal inference. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Confounder adjustment. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Mediation. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | Articles |
998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
Cataloger's initials, CIN (RLIN) | 82480 |
First Date, FD (RLIN) | 140843 |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Date last seen | Price effective from | Koha item type |
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Library of Congress Classification | Manila Tytana Colleges Library | Manila Tytana Colleges Library | REFERENCE SECTION | 09/26/2018 | 09/26/2018 | 09/26/2018 | Articles |