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Confounding effect - PowerPoint PPT Presentation

Intermediate methods in observational epidemiology 2008

Intermediate methods in observational epidemiology 2008. Confounding - I. OBSERVATION VS. EXPERIMENT. Confounding variable :. Absent, mortality = 10%. Present, mortality = 50%. Observational (n= 2000). Experimental (n=2000). 1300. 700. 1300. 700. No intervention. Intervention.

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The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics

The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics. Khaled El Eman, etal IEEE TOSE July 01. Confounding Empirical Binary classification univariate. Type I error Type II error Odds ratio. Terminology. Odds Ratio. Unmatched case-control study.

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285 views • 15 slides

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Confounding effect - PowerPoint PPT Presentation

Intermediate methods in observational epidemiology 2008

The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics