Literature DB >> 2203699

Problems in the use of large data sets to assess effectiveness.

R Temple.   

Abstract

Large data sets are an attractive source of information for outcome assessment, but their use involves certain problems and risks. Data base evaluations are retrospective and unblinded; they often represent the result of multiple analyses of multiple endpoints, and it is difficult to identify the procedures used and analytic choices made because critical details are often omitted. While data bases can suggest problems and offer answers, they cannot prove them; data base analyses must be followed by trials.

Mesh:

Year:  1990        PMID: 2203699     DOI: 10.1017/s0266462300000738

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  3 in total

1.  Routine data: a resource for clinical audit?

Authors:  M McKee
Journal:  Qual Health Care       Date:  1993-06

Review 2.  Nonexperimental comparative effectiveness research using linked healthcare databases.

Authors:  Til Stürmer; Michele Jonsson Funk; Charles Poole; M Alan Brookhart
Journal:  Epidemiology       Date:  2011-05       Impact factor: 4.822

3.  The natural history of MPS I: global perspectives from the MPS I Registry.

Authors:  Michael Beck; Pamela Arn; Roberto Giugliani; Joseph Muenzer; Torayuki Okuyama; John Taylor; Shari Fallet
Journal:  Genet Med       Date:  2014-03-27       Impact factor: 8.822

  3 in total

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