Literature DB >> 10554519

[Statistical models and analysis of observational studies].

A Koch1, J Windeler.   

Abstract

Although randomized clinical trials can be regarded as the gold standard in many fields of clinical research, non-randomized (so called observational) studies are indispensable. Methodologic quality of such studies is at least as important as that of randomized trials but has been much less standardized. The analysis and interpretation of the results of observational studies is a very demanding job which needs a high level of knowledge and experience--medical as well as statistical. Basis for these analyses are complex statistical models the grounds and application of which are discussed in the following article.

Mesh:

Year:  1999        PMID: 10554519     DOI: 10.1007/bf03044958

Source DB:  PubMed          Journal:  Med Klin (Munich)        ISSN: 0723-5003


  7 in total

Review 1.  [Testing, estimating, "significance"--concepts and terminology of medical biometry].

Authors:  A Koch; J Windeler
Journal:  Med Klin (Munich)       Date:  1999-07-15

2.  Cross design synthesis: a new strategy for studying medical outcomes?

Authors: 
Journal:  Lancet       Date:  1992-10-17       Impact factor: 79.321

3.  STREPTOMYCIN treatment of pulmonary tuberculosis.

Authors: 
Journal:  Br Med J       Date:  1948-10-30

Review 4.  [Randomization in clinical studies. Empirically founded or only a dogma?].

Authors:  U Abel; A Koch
Journal:  Internist (Berl)       Date:  1997-04       Impact factor: 0.743

Review 5.  Statistical and theoretical considerations in meta-analysis.

Authors:  I Olkin
Journal:  J Clin Epidemiol       Date:  1995-01       Impact factor: 6.437

6.  The 60 minutes myocardial infarction project. Treatment and clinical outcome of patients with acute myocardial infarction in Germany.

Authors:  J Rustige; R Schiele; U Burczyk; A Koch; M Gottwik; K L Neuhaus; U Tebbe; R Uebis; J Senges
Journal:  Eur Heart J       Date:  1997-09       Impact factor: 29.983

Review 7.  Statistical aspects of prognostic factor studies in oncology.

Authors:  R Simon; D G Altman
Journal:  Br J Cancer       Date:  1994-06       Impact factor: 7.640

  7 in total

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