The use of interval estimators as a basis for decision-making in medicine

Decision analysts sometimes use the results of clinical trials in order to evaluate treatment alternatives. I discuss some problems associated with this, and in particular I point out that it is not valid to use the estimates from clinical trials as the probabilities of events which are needed for decision analysis. I also attempt to show that an approach based on objective statistical theory may have advantages over commonly used methods based on decision theory. These advantages include the recognition of uncertain data, the introduction of a third alternative, namely suspension of judgement, and the possibility of modifying the choice of probabilities based on a clinical trial with reference to other available knowledge. I have not, however, shown in detail how this modification is done, but I think the concept is sufficiently promising to be applied to an actual clinical decision problem.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
 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: 24,479
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

No references found.

Add more references

Citations of this work BETA

Add more citations

Similar books and articles

Monthly downloads

Added to index


Total downloads

16 ( #281,601 of 1,925,752 )

Recent downloads (6 months)

6 ( #140,581 of 1,925,752 )

How can I increase my downloads?

My notes
Sign in to use this feature

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