Repeated measures regression: an application to the analysis of mood and chronic pain

Randy L. Carter; Michael Feuerstein; James T. Love

doi:10.1016/0167-9473(86)90016-2

Repeated measures regression: an application to the analysis of mood and chronic pain

Randy L. Carter
, Michael Feuerstein
, James T. Love

Department of Biostatistics

University of Rochester
Boehringer Ingelheim GmbH

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

In many medical studies, longitudinal data are collected on each of a simple of patients. One objective in such studies often is to estimate and test a multivariete relationship from these repeated measures data. This paper illustrates the use of relatively unknown statistical methods and software for achieving this goal by relating a composite measure of low back pain to psychological mood. Assumptions required for the valid application of these methods are discussed and tested in the setting of this applied problem. Lower back pain was found to be significantly, but modestly, related to fatigue.

Original language	English
Pages (from-to)	131-140
Number of pages	10
Journal	Computational Statistics and Data Analysis
Volume	4
Issue number	2
DOIs	https://doi.org/10.1016/0167-9473(86)90016-2
State	Published - Jul 1986

Keywords

Longitudinal data
Mood and low back pain.
Random coefficient regression model
Repeated measures regression

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10.1016/0167-9473(86)90016-2

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title = "Repeated measures regression: an application to the analysis of mood and chronic pain",

abstract = "In many medical studies, longitudinal data are collected on each of a simple of patients. One objective in such studies often is to estimate and test a multivariete relationship from these repeated measures data. This paper illustrates the use of relatively unknown statistical methods and software for achieving this goal by relating a composite measure of low back pain to psychological mood. Assumptions required for the valid application of these methods are discussed and tested in the setting of this applied problem. Lower back pain was found to be significantly, but modestly, related to fatigue.",

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year = "1986",

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AU - Love, James T.

PY - 1986/7

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AB - In many medical studies, longitudinal data are collected on each of a simple of patients. One objective in such studies often is to estimate and test a multivariete relationship from these repeated measures data. This paper illustrates the use of relatively unknown statistical methods and software for achieving this goal by relating a composite measure of low back pain to psychological mood. Assumptions required for the valid application of these methods are discussed and tested in the setting of this applied problem. Lower back pain was found to be significantly, but modestly, related to fatigue.

KW - Longitudinal data

KW - Mood and low back pain.

KW - Random coefficient regression model

KW - Repeated measures regression

UR - https://www.scopus.com/pages/publications/38249040657

U2 - 10.1016/0167-9473(86)90016-2

DO - 10.1016/0167-9473(86)90016-2

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AN - SCOPUS:38249040657

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JO - Computational Statistics and Data Analysis

JF - Computational Statistics and Data Analysis

IS - 2

ER -

Repeated measures regression: an application to the analysis of mood and chronic pain

Abstract

Keywords

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