Bias and Conditioning in Sequential Medical Trials

Philosophy of Science 80 (5):1053-1064 (2013)
Abstract
Randomized Controlled Trials are currently the gold standard within evidence-based medicine. Usually, they are conducted as sequential trials allowing for monitoring for early signs of effectiveness or harm. However, evidence from early stopped trials is often charged with being biased towards implausibly large effects. To our mind, this skeptical attitude is unfounded and caused by the failure to perform appropriate conditioning in the statistical analysis of the evidence. We contend that a shift from unconditional hypothesis tests in the style of Neyman and Pearson to conditional hypothesis tests gives a superior appreciation of the obtained evidence and significantly improves the practice of sequential medical trials, while staying firmly rooted in frequentist methodology
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1086/673732
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 21,496
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA
John Worrall (2008). Evidence and Ethics in Medicine. Perspectives in Biology and Medicine 51 (3):418-431.
Cecilia Nardini (2013). Monitoring in Clinical Trials: Benefit or Bias? Theoretical Medicine and Bioethics 34 (4):259-274.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles
Roger Stanev (2012). Modelling and Simulating Early Stopping of RCTs: A Case Study of Early Stop Due to Harm. Journal of Experimental and Theoretical Artificial Intelligence 24 (4):513-526.
Jacob Stegenga (2011). Is Meta-Analysis the Platinum Standard of Evidence? Studies in History and Philosophy of Science Part C 42 (4):497-507.
Robyn Bluhm (2009). Some Observations on “Observational” Research. Perspectives in Biology and Medicine 52 (2):252-263.

Monthly downloads

Added to index

2012-11-09

Total downloads

25 ( #160,567 of 1,911,817 )

Recent downloads (6 months)

5 ( #145,877 of 1,911,817 )

How can I increase my downloads?

My notes
Sign in to use this feature


Discussion
Start a new thread
Order:
There  are no threads in this forum
Nothing in this forum yet.