Linked Life Data

14738627

Source:http://linkedlifedata.com/resource/pubmed/id/14738627

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2004-1-23
pubmed:abstractText
We provide a non-technical overview of what P-values are and what they are not. To determine how P-values ought to be used, reported, and interpreted, we must first clarify the often-overlooked differences between, and proper usages of, significance testing and hypothesis testing. Several clinical examples are given to illustrate these differences, and failure to distinguish between them is seen to be problematic. Common misinterpretations of P-values are explained. Confidence intervals provide essential information where P-values are deficient in doing so and they therefore play an essential role in reporting and interpreting study results.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1074-3804
pubmed:author
pubmed:issnType
Print
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
439-44
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
What your statistician never told you about P-values.
pubmed:affiliation
Division of Research in Women's Health and the George Anderson Outcomes Measurement Unit, Department of Obstetrics and Gynecology, WOmen and Infants Hospital, Brown University, Providence, Rhode Island 02912, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't