| Literature DB >> 2203699 |
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