How to Asses Dose-Response Study Outcome: a Statistical Approach
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CONTRIBUTORS:
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CONFERENCE TITLE:
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CONF. LOCATION:
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None
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YEAR:
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2007
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PUB TYPE:
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Conference Paper
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SUBJECT(S):
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chemistry - biochemistry; mathematics - modeling; mathematics - number theory; mathematics - probability theory; medicine - informatics; research - evaluation
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DISCIPLINE:
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Biochemistry
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HTTP:
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http://lori.academicdirect.org/works/?f=167
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LANGUAGE:
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English
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PUB ID:
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103-439-280
(Last edited on
2007/12/20 03:39:36 US/Mountain)
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SPONSOR(S):
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ABSTRACT:
Confidence interval are defines as an estimated range of values that is likely to include an unknown population parameter, this range being calculates from a given set of sample data.
The confidence intervals are uses in experimental research as criterion of assessment of the trustworthiness or robustness of the finding. It is well known that for low proportions, the lower confidence boundaries are frequently less than zero while for the proportions closer to the upper boundaries exceed one. The main problem of the existent methods is represented by the inadequate coverage and inappropriate intervals. The aim of the research was to develop an algorithm for calculation of exact confidence intervals based on the probability matrix.
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STATISTICS
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