When Averages Hide Individual Differences in Clinical Trials.
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| Title: | When Averages Hide Individual Differences in Clinical Trials. |
|---|---|
| Authors: | Kent, David1,2 dkent1@tufts-nemc.org, Hayward, Rodney3,4 |
| Source: | American Scientist. Jan/Feb2007, Vol. 95 Issue 1, p60-68. 8p. |
| Subjects: | Clinical trials, Disease risk factors, Clinical medicine research, Medical research, Medical experimentation on humans |
| Abstract: | The authors argue that analyzing the results of clinical trials to expose individual patients' could yield more detailed information doctors need to make better treatment decisions. They believe that to be truly useful, clinical trials must routinely include analyses that combine risk factors into risk scores or indices. |
| Database: | Engineering Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: egs DbLabel: Engineering Source An: 23498752 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: When Averages Hide Individual Differences in Clinical Trials. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kent%2C+David%22">Kent, David</searchLink><relatesTo>1,2</relatesTo><i> dkent1@tufts-nemc.org</i><br /><searchLink fieldCode="AR" term="%22Hayward%2C+Rodney%22">Hayward, Rodney</searchLink><relatesTo>3,4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22American+Scientist%22">American Scientist</searchLink>. Jan/Feb2007, Vol. 95 Issue 1, p60-68. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Clinical+trials%22">Clinical trials</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+risk+factors%22">Disease risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+medicine+research%22">Clinical medicine research</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+research%22">Medical research</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+experimentation+on+humans%22">Medical experimentation on humans</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The authors argue that analyzing the results of clinical trials to expose individual patients' could yield more detailed information doctors need to make better treatment decisions. They believe that to be truly useful, clinical trials must routinely include analyses that combine risk factors into risk scores or indices. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=23498752 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1511/2007.63.60 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 60 Subjects: – SubjectFull: Clinical trials Type: general – SubjectFull: Disease risk factors Type: general – SubjectFull: Clinical medicine research Type: general – SubjectFull: Medical research Type: general – SubjectFull: Medical experimentation on humans Type: general Titles: – TitleFull: When Averages Hide Individual Differences in Clinical Trials. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kent, David – PersonEntity: Name: NameFull: Hayward, Rodney IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan/Feb2007 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 00030996 Numbering: – Type: volume Value: 95 – Type: issue Value: 1 Titles: – TitleFull: American Scientist Type: main |
| ResultId | 1 |