Literature DB >> 6848875

Multivariate analysis. Some guidelines for physicians.

R A Lew, C L Day, T J Harrist, W C Wood, M C Mihm.   

Abstract

"Mystified" best characterizes the feeling of many physicians as they read the results of a multivariate analysis. Much of the mystery disappears when two items are shown: (1) explicit tabulations revealing how each factor selected by the analysis relates to outcome, both singly and jointly with other factors; and (2) alternative models generated by repeating the analysis after removing the most important variables one by one from the list of factors that was initially analyzed. In this way, one can determine which variables are good stand-ins or substitutes for the best variables in the initial analysis. Showing these substitutes may expose exaggerations in benefits attributed to a particular therapy (ie, elective regional node dissection for clinical stage I malignant melanoma). We have applied these guidelines to examples in the literature, particularly studies of malignant melanoma.

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Year:  1983        PMID: 6848875     DOI: 10.1001/jama.249.5.641

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  3 in total

1.  Prognostic factors in node-positive operable breast cancer patients receiving adjuvant chemotherapy.

Authors:  E Rakowsky; B Klein; E Kahan; E Derazne; H Lurie
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

Review 2.  Uses and abuses of multivariate methods in epidemiology.

Authors:  S J Evans
Journal:  J Epidemiol Community Health       Date:  1988-12       Impact factor: 3.710

3.  Factors affecting the outcome of maternity care. 1. Relationship between staffing and perinatal deaths at the hospital of birth.

Authors:  J Stilwell; A Szczepura; M Mugford
Journal:  J Epidemiol Community Health       Date:  1988-06       Impact factor: 3.710

  3 in total

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