Literature DB >> 6648141

The need for randomization in the study of intended effects.

O S Miettinen.   

Abstract

The need for randomization as a means of controlling confounders is accentuated in the study of intended effects (efficacy) as compared with unintended ones (toxicity). The basic reason is that the indication for intervention is inherently a confounder in the study of efficacy but not of toxicity, whereas contraindications represent only a minor confounder even in toxicity research. Moreover, control of the indication in non-experimental terms is commonly infeasible owing to the complexity and subtlety of the indication.

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Year:  1983        PMID: 6648141     DOI: 10.1002/sim.4780020222

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  61 in total

Review 1.  Design issues for drug epidemiology.

Authors:  A D McMahon; T M MacDonald
Journal:  Br J Clin Pharmacol       Date:  2000-11       Impact factor: 4.335

2.  Balancing benefits and harms in health care: observational data on harm should complement systematic reviews of benefit.

Authors:  Jan P Vandenbroucke
Journal:  BMJ       Date:  2003-09-27

Review 3.  Detection, verification, and quantification of adverse drug reactions.

Authors:  Bruno H Ch Stricker; Bruce M Psaty
Journal:  BMJ       Date:  2004-07-03

4.  Epidemiology: indeed "quo vadis"?

Authors:  Jacobus Lubsen
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

5.  Pharmacoepidemiology.

Authors:  Stephen J W Evans
Journal:  Br J Clin Pharmacol       Date:  2012-06       Impact factor: 4.335

Review 6.  Methodological quality of animal studies on neuroprotection in focal cerebral ischaemia.

Authors:  H Bart van der Worp; Peter de Haan; Erik Morrema; Cor J Kalkman
Journal:  J Neurol       Date:  2005-09       Impact factor: 4.849

7.  What is the best evidence for determining harms of medical treatment?

Authors:  Jan P Vandenbroucke
Journal:  CMAJ       Date:  2006-02-28       Impact factor: 8.262

8.  Evaluating short-term drug effects using a physician-specific prescribing preference as an instrumental variable.

Authors:  M Alan Brookhart; Philip S Wang; Daniel H Solomon; Sebastian Schneeweiss
Journal:  Epidemiology       Date:  2006-05       Impact factor: 4.822

9.  Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs.

Authors:  T Stürmer; R Wyss; R J Glynn; M A Brookhart
Journal:  J Intern Med       Date:  2014-02-13       Impact factor: 8.989

10.  Idiopathic thrombocytopenic purpura: predictors of chronic disease.

Authors:  L G Robb; K Tiedeman
Journal:  Arch Dis Child       Date:  1990-05       Impact factor: 3.791

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