'Dependent tests' diaporamas de présentation

Empirically Revisiting the Test Independence Assumption

523 views • 51 slides

Empirically Revisiting the Test Independence Assumption

599 views • 51 slides

Genetic Statistics Lectures ??? Multiple testing correction and population structure correction

Genetic Statistics Lectures ??? Multiple testing correction and population structure correction. Independence of tests. When all tests are mutually independent, probability to observe P<=0.01, is 0.01 probability to observe P<=0.05, is 0.05 probability to observe P<=0.5, is 0.5

389 views • 38 slides

Notation

Notation . It hurts now, but will make things easier later. Vectors, Matrices and realizations. This course will be a bit heavy on notation. However, I will try to be consistent. Capital letters represent either matrices or random variables. Small letters will be for specific realizations.

449 views • 28 slides

2014 Edition Test Scenarios

2014 Edition Test Scenarios. January 2013. Contents. Purpose of Test Scenarios. Make clinically relevant (i.e. align with plausible clinical scenarios) Ensure interoperability (using data across systems) Ensure intraoperability (using data within a system). Intraoperability.

305 views • 18 slides