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All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework.
Edwards, Jessie K; Cole, Stephen R; Westreich, Daniel.
Affiliation
  • Edwards JK; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA jessedwards@unc.edu.
  • Cole SR; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Westreich D; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Int J Epidemiol ; 44(4): 1452-9, 2015 Aug.
Article in En | MEDLINE | ID: mdl-25921223
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Bias / Data Interpretation, Statistical / Models, Statistical Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Epidemiol Year: 2015 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Bias / Data Interpretation, Statistical / Models, Statistical Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Epidemiol Year: 2015 Document type: Article Affiliation country: United States Country of publication: United kingdom