Literature DB >> 7400430

Propositions regarding the use of cluster analysis in clinical research.

R K Blashfield.   

Abstract

Mesh：

Year:  1980        PMID： 7400430     DOI： 10.1037//0022-006x.48.4.456

Source DB:  PubMed          Journal:  J Consult Clin Psychol        ISSN： 0022-006X


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  10 in total

1.  Classification and validation of family climate subtypes in kibbutz fathers of disabled and nondisabled children.

Authors:  M Margalit; Y Leyser; Y Avraham
Journal:  J Abnorm Child Psychol       Date:  1989-02

2.  Diabetes and the hospitalized patient : A cluster analytic framework for characterizing the role of sex, race and comorbidity from 2006 to 2011.

Authors:  Nisha Nataraj; Julie Simmons Ivy; Fay Cobb Payton; Joseph Norman
Journal:  Health Care Manag Sci       Date:  2017-07-22

3.  Social anxiety and disinhibition: an analysis of curiosity and social rank appraisals, approach-avoidance conflicts, and disruptive risk-taking behavior.

Authors:  Todd B Kashdan; Jon D Elhai; William E Breen
Journal:  J Anxiety Disord       Date:  2007-09-29

4.  The role of self-monitoring in the maintenance of weight loss success.

Authors:  Melissa H Laitner; Samantha A Minski; Michael G Perri
Journal:  Eat Behav       Date:  2016-03-02

5.  Empirically derived Symptom Checklist 90 subgroups of chronic pain patients: a cluster analysis.

Authors:  R N Jamison; D L Rock; W C Parris
Journal:  J Behav Med       Date:  1988-04

6.  Cluster analysis of behavioural and event-related potentials during a contingent negative variation paradigm in remitting-relapsing and benign forms of multiple sclerosis.

Authors:  Javier J Gonzalez-Rosa; Manuel Vazquez-Marrufo; Encarnacion Vaquero; Pablo Duque; Monica Borges; Carlos M Gomez-Gonzalez; Guillermo Izquierdo
Journal:  BMC Neurol       Date:  2011-06-02       Impact factor: 2.474

7.  Simulation-derived best practices for clustering clinical data.

Authors:  Caitlin E Coombes; Xin Liu; Zachary B Abrams; Kevin R Coombes; Guy Brock
Journal:  J Biomed Inform       Date:  2021-04-20       Impact factor: 8.000

8.  Psychosocial Clusters and their Associations with Well-Being and Health: An Empirical Strategy for Identifying Psychosocial Predictors Most Relevant to Racially/Ethnically Diverse Women's Health.

Authors:  Jennifer M Jabson; Deborah Bowen; Janice Weinberg; Candyce Kroenke; Juhua Luo; Catherine Messina; Sally Shumaker; Hilary A Tindle
Journal:  Clin Med Insights Womens Health       Date:  2016-06-06

9.  Identification and Description of Novel Mood Profile Clusters.

Authors:  Renée L Parsons-Smith; Peter C Terry; M Anthony Machin
Journal:  Front Psychol       Date:  2017-11-21

10.  Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia.

Authors:  Caitlin E Coombes; Zachary B Abrams; Suli Li; Lynne V Abruzzo; Kevin R Coombes
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497
  10 in total

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