By R Jarad Alejandro R. Jadad;Alejandro
The randomised managed trial is among the easiest, strongest and innovative instruments of analysis. This new ebook is written for any individual attracted to using RCTs in medical, learn, or coverage judgements. it is going to be a priceless resource of details during which clients will locate obtainable, non-statistical solutions to their most commonly asked questions.
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Extra info for Randomised Controlled Trials: A User's Guide
Do certain countries produce only positive results? A systematic review of controlled trials. Controlled Clin Trials 1998; 19:159-66. 21. Ioannidis JPA. Effect of the statistical significance of results on the time to completion and publication of randomized efficacy trials: a survival analysis. JAMA 1998;279:281-6. 22. Stern JM, Simes RJ. Publication bias: evidence of delayed publication in a cohort study of clinical research projects. BMJ 1997;315:640-5. 23. Koren G, Klein N. Bias against negative studies in newspaper reports of medical research.
How can the quality assessments be used? Once you have assessed the quality of one or more trials, you should use the assessments to guide your decisions. How you use the assessments, however, will depend on your role, the purpose of the quality assessments, and the number of trials on the same topic that you are evaluating. For example: • • • • If you are a clinician, you may want to use the assessments to judge whether the results of a trial are credible and applicable to your own patients. If you are a peer-reviewer or a journal editor, you may want to use the assessments to decide whether a report should be published.
McNutt RA, Evans AT, Fletcher RH, Fletcher SW. The effects of blinding on the quality of peer-review. A randomized trial. JAMA 1990;263:1371-6. 4 Assessing the quality of RCTs: why, what, how, and by whom? • • • • • • There is no such thing as a perfect trial. Internal validity is an essential component of the assessment of trial quality. There are many tools to choose from when assessing trial quality, or new ones can be developed. Using several people to assess trial quality reduces mistakes and the risk of bias during assessments.