Literature DB >> 2163815

Use of principal components analysis to develop a composite score as a primary outcome variable in a clinical trial. The VA Cooperative Study Group on Cochlear Implantation.

W G Henderson1, S G Fisher, N Cohen, S Waltzman, L Weber.   

Abstract

This article describes the use of principal components analysis to derive a composite score from a battery of 24 audiologic tests. The composite score is being used as the primary outcome variable in a clinical trial comparing the efficacy of three cochlear implant devices for people with bilateral, profound hearing loss. The first principal component from the within-class pooled variance-covariance matrix over four time periods was chosen to establish the coefficients for the composite score. This component accounted for 61% of the total variance of the 24 audiologic tests. The first principal component had its largest coefficients associated with the most difficult audiologic tests. The mean composite score of all patients improved over time; some patients showed dramatic improvement. The changes in the composite score over time were also closely related to subjective impressions of implant performance by the patient, audiologist, and otolaryngologist.

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Year:  1990        PMID: 2163815     DOI: 10.1016/0197-2456(90)90014-s

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  3 in total

1.  Exploring Relationships Among Peripheral Amyloid Beta, Tau, Cytokines, Cognitive Function, and Psychosomatic Symptoms in Breast Cancer Survivors.

Authors:  Ashley Henneghan; Andreana P Haley; Shelli Kesler
Journal:  Biol Res Nurs       Date:  2019-11-10       Impact factor: 2.522

2.  Identifying cytokine predictors of cognitive functioning in breast cancer survivors up to 10 years post chemotherapy using machine learning.

Authors:  Ashley M Henneghan; Oxana Palesh; Michelle Harrison; Shelli R Kesler
Journal:  J Neuroimmunol       Date:  2018-04-19       Impact factor: 3.478

3.  Improved access to early diagnosis and complete treatment of malaria in Odisha, India.

Authors:  Sreya Pradhan; Madan Mohan Pradhan; Ambarish Dutta; Naman K Shah; Pyare Lal Joshi; Khageshwar Pradhan; S K Sharma; Penny Grewal Daumerie; Jaya Banerji; Stephan Duparc; Kamini Mendis; Shiva Murugasampillay; Neena Valecha; Anupkumar R Anvikar
Journal:  PLoS One       Date:  2019-01-02       Impact factor: 3.240

  3 in total

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