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Statistical methods in psychiatry an...

Gueorguieva, Ralitza.

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Statistical methods in psychiatry and related fields = longitudinal, clustered, and other repeated measures data /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical methods in psychiatry and related fields/ Ralitza Gueorguieva.
Reminder of title:	longitudinal, clustered, and other repeated measures data /
Author:	Gueorguieva, Ralitza.
Published:	Boca Raton, FL :CRC Press, : c2018.,
Description:	1 online resource (xviii, 352 p.) :ill.
Notes:	"A Chapman & Hall book."
Subject:	Psychiatry - Research -
Online resource:	https://www.taylorfrancis.com/books/9781315151526
ISBN:	9781315151526

Statistical methods in psychiatry and related fields = longitudinal, clustered, and other repeated measures data /
Gueorguieva, Ralitza.

Statistical methods in psychiatry and related fieldslongitudinal, clustered, and other repeated measures data /[electronic resource] :Ralitza Gueorguieva. - Boca Raton, FL :CRC Press,c2018. - 1 online resource (xviii, 352 p.) :ill. - Chapman & Hall/CRC interdisciplinary statistics series. - Interdisciplinary statistics..

"A Chapman & Hall book."

Includes bibliographical references and index.

"Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical methods do not work well with such data. More advanced statistical methods capture the data complexity better, but are difficult to apply appropriately and correctly by investigators who do not have advanced training in statistics. This book presents, at a non-technical level, several approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and growth mixture models for heterogeneous trajectories over time. Separate chapters are devoted to techniques for multiple comparison correction, analysis in the presence of missing data, adjustment for covariates, assessment of mediator and moderator effects, study design and sample size considerations. The focus is on the assumptions of each method, applicability and interpretation rather than on technical details. The intended audience are applied researchers with minimal knowledge of statistics, although the book could also benefit collaborating statisticians. The book, together with the online materials, is a valuable resource aimed at promoting the use of appropriate statistical methods for the analysis of repeated measures data. "--Provided by publisher.

ISBN: 9781315151526

Standard No.: 10.1201/9781315151526 doiSubjects--Topical Terms:

2142047
Psychiatry
--Research

LC Class. No.: RC337 / .G87 2018

Dewey Class. No.: 616.8900727

Statistical methods in psychiatry and related fields = longitudinal, clustered, and other repeated measures data /
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245 1 0 $a Statistical methods in psychiatry and related fields $h [electronic resource] : $b longitudinal, clustered, and other repeated measures data / $c Ralitza Gueorguieva.
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300 $a 1 online resource (xviii, 352 p.) : $b ill.
490 1 $a Chapman & Hall/CRC interdisciplinary statistics series
500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
520 $a "Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical methods do not work well with such data. More advanced statistical methods capture the data complexity better, but are difficult to apply appropriately and correctly by investigators who do not have advanced training in statistics. This book presents, at a non-technical level, several approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and growth mixture models for heterogeneous trajectories over time. Separate chapters are devoted to techniques for multiple comparison correction, analysis in the presence of missing data, adjustment for covariates, assessment of mediator and moderator effects, study design and sample size considerations. The focus is on the assumptions of each method, applicability and interpretation rather than on technical details. The intended audience are applied researchers with minimal knowledge of statistics, although the book could also benefit collaborating statisticians. The book, together with the online materials, is a valuable resource aimed at promoting the use of appropriate statistical methods for the analysis of repeated measures data. "--Provided by publisher.
588 $a Description based on print version record.
650 0 $a Psychiatry $x Research $x Statistical methods. $3 2142047
830 0 $a Interdisciplinary statistics. $3 626308
856 4 0 $u https://www.taylorfrancis.com/books/9781315151526