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Oliver Kuss

Showing results (1-10 of 206) with videos related to

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Statistics in Medicine|December 17, 2002
Global goodness-of-fit tests in logistic regression with sparse dataOliver Kuss
Journal of Clinical Epidemiology|August 27, 2013
The z-difference can be used to measure covariate balance in matched propensity score analysesOliver Kuss
Research Synthesis Methods|June 25, 2019
Meta-analysis of full ROC curves: Additional flexibility by using semiparametric distributions of diagnostic test valuesAnnika Hoyer, Oliver Kuss
Statistical Methods in Medical Research|April 24, 2016
Comment on 'A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence' by Aristidis K NikoloulopoulosAnnika Hoyer, Oliver Kuss
Journal of Clinical Epidemiology|September 19, 2009
Methods to calculate relative risks, risk differences, and numbers needed to treat from logistic regressionRalf Bender, Oliver Kuss
Acta Obstetricia Et Gynecologica Scandinavica|October 28, 2008
Lunar cycle and the number of births: a spectral analysis of 4,071,669 births from South-Western GermanyOliver Kuss, Anja Kuehn
Contact Dermatitis|December 14, 2011
The p-value - a well-understood and properly used statistical concept?Oliver Kuss, Andreas Stang
Acta Diabetologica|November 7, 2019
A missed protective drug-drug interaction of DPP-4 inhibitors and statins on myopathy riskOliver Kuss, Wolfgang Rathmann
Research Synthesis Methods|January 19, 2020
Meta-analysis of full ROC curves with flexible parametric distributions of diagnostic test valuesAnnika Hoyer, Oliver Kuss
European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery|May 18, 2005
Prognoses from the logistic EuroSCORE are statistical estimates that require confidence intervalsOliver Kuss, Jochen Börgermann
Pageof 21

Showing results (1-10 of 206) with videos related to

Sort By:
Pageof 21
Statistics in Medicine|December 17, 2002
Global goodness-of-fit tests in logistic regression with sparse dataOliver Kuss
Journal of Clinical Epidemiology|August 27, 2013
The z-difference can be used to measure covariate balance in matched propensity score analysesOliver Kuss
Research Synthesis Methods|June 25, 2019
Meta-analysis of full ROC curves: Additional flexibility by using semiparametric distributions of diagnostic test valuesAnnika Hoyer, Oliver Kuss
Statistical Methods in Medical Research|April 24, 2016
Comment on 'A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence' by Aristidis K NikoloulopoulosAnnika Hoyer, Oliver Kuss
Journal of Clinical Epidemiology|September 19, 2009
Methods to calculate relative risks, risk differences, and numbers needed to treat from logistic regressionRalf Bender, Oliver Kuss
Acta Obstetricia Et Gynecologica Scandinavica|October 28, 2008
Lunar cycle and the number of births: a spectral analysis of 4,071,669 births from South-Western GermanyOliver Kuss, Anja Kuehn
Contact Dermatitis|December 14, 2011
The p-value - a well-understood and properly used statistical concept?Oliver Kuss, Andreas Stang
Acta Diabetologica|November 7, 2019
A missed protective drug-drug interaction of DPP-4 inhibitors and statins on myopathy riskOliver Kuss, Wolfgang Rathmann
Research Synthesis Methods|January 19, 2020
Meta-analysis of full ROC curves with flexible parametric distributions of diagnostic test valuesAnnika Hoyer, Oliver Kuss
European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery|May 18, 2005
Prognoses from the logistic EuroSCORE are statistical estimates that require confidence intervalsOliver Kuss, Jochen Börgermann
Pageof 21