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Some study findings are more probably due to a bias in terms of who is included in the studies than to the miraculous effects of occupation, winning awards, or ER status, or whatever is being studied. How should investigators go about avoiding this bias, and more specifically, what should readers look for when they’re reading about some new miracle cure?

 

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David Streiner, PhD, and Geoffrey Norman, PhD

 

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The Journal of Community and Supportive Oncology - 12(1)
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Page Number
40-42
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Author and Disclosure Information

David Streiner, PhD, and Geoffrey Norman, PhD

 

Author and Disclosure Information

David Streiner, PhD, and Geoffrey Norman, PhD

 

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Some study findings are more probably due to a bias in terms of who is included in the studies than to the miraculous effects of occupation, winning awards, or ER status, or whatever is being studied. How should investigators go about avoiding this bias, and more specifically, what should readers look for when they’re reading about some new miracle cure?

 

Click on the PDF icon above to read the full article.

Some study findings are more probably due to a bias in terms of who is included in the studies than to the miraculous effects of occupation, winning awards, or ER status, or whatever is being studied. How should investigators go about avoiding this bias, and more specifically, what should readers look for when they’re reading about some new miracle cure?

 

Click on the PDF icon above to read the full article.

Issue
The Journal of Community and Supportive Oncology - 12(1)
Issue
The Journal of Community and Supportive Oncology - 12(1)
Page Number
40-42
Page Number
40-42
Publications
Publications
Topics
Article Type
Sections
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JCSO 2014;14(1):40-42
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