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Usha S Govindarajulu

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Journal of Medical Statistics and Informatics|September 5, 2024
Real Data Applications of Learning Curves In Cardiac Devices and ProceduresUsha S Govindarajulu, David Goldfarb, Frederic S Resnic
Genetic Epidemiology|July 11, 2006
Quantifying bias due to allele misclassification in case-control studies of haplotypesUsha S Govindarajulu, Donna Spiegelman, Katie L Miller, et al.
Statistics in Medicine|July 26, 2011
Frailty models: Applications to biomedical and genetic studiesUsha S Govindarajulu, Haiqun Lin, Kathryn L Lunetta, et al.
Statistics in Medicine|June 1, 2007
Comparing smoothing techniques in Cox models for exposure-response relationshipsUsha S Govindarajulu, Donna Spiegelman, Sally W Thurston, et al.
The International Journal of Biostatistics|March 17, 2010
The comparison of alternative smoothing methods for fitting non-linear exposure-response relationships with Cox models in a simulation studyUsha S Govindarajulu, Elizabeth J Malloy, Bhaswati Ganguli, et al.
Statistics in Medicine|November 8, 2017
Learning curve estimation in medical devices and procedures: hierarchical modelingUsha S Govindarajulu, Marco Stillo, David Goldfarb, et al.
Statistics in Medicine|May 5, 2017
Learning curve estimation in medical devices and procedures: hierarchical modelingUsha S Govindarajulu, Marco Stillo, David Goldfarb, et al.
BMC Medical Research Methodology|December 9, 2025
Applications of survival analysis and learning curves methods in neurosurgical stroke data and simulations to account for provider heterogeneityUsha S Govindarajulu, Rivera Daniel, Reynolds Eric, et al.
Journal of Cardiothoracic and Vascular Anesthesia|July 13, 2010
Ascending aortic aneurysms: asymmetrical differences in aortic cross-sectional wall motion detected by epiaortic echocardiographyRaj K Modak, George J Koullias, Usha S Govindarajulu, et al.
Journal of Interventional Cardiology|July 6, 2016
Comparison of Two Risk Models in Predicting the Incidence of Contrast-Induced Nephropathy after Percutaneous Coronary InterventionGustavo N Araujo, Marco V Wainstein, James M McCabe, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of Medical Statistics and Informatics|September 5, 2024
Real Data Applications of Learning Curves In Cardiac Devices and ProceduresUsha S Govindarajulu, David Goldfarb, Frederic S Resnic
Genetic Epidemiology|July 11, 2006
Quantifying bias due to allele misclassification in case-control studies of haplotypesUsha S Govindarajulu, Donna Spiegelman, Katie L Miller, et al.
Statistics in Medicine|July 26, 2011
Frailty models: Applications to biomedical and genetic studiesUsha S Govindarajulu, Haiqun Lin, Kathryn L Lunetta, et al.
Statistics in Medicine|June 1, 2007
Comparing smoothing techniques in Cox models for exposure-response relationshipsUsha S Govindarajulu, Donna Spiegelman, Sally W Thurston, et al.
The International Journal of Biostatistics|March 17, 2010
The comparison of alternative smoothing methods for fitting non-linear exposure-response relationships with Cox models in a simulation studyUsha S Govindarajulu, Elizabeth J Malloy, Bhaswati Ganguli, et al.
Statistics in Medicine|November 8, 2017
Learning curve estimation in medical devices and procedures: hierarchical modelingUsha S Govindarajulu, Marco Stillo, David Goldfarb, et al.
Statistics in Medicine|May 5, 2017
Learning curve estimation in medical devices and procedures: hierarchical modelingUsha S Govindarajulu, Marco Stillo, David Goldfarb, et al.
BMC Medical Research Methodology|December 9, 2025
Applications of survival analysis and learning curves methods in neurosurgical stroke data and simulations to account for provider heterogeneityUsha S Govindarajulu, Rivera Daniel, Reynolds Eric, et al.
Journal of Cardiothoracic and Vascular Anesthesia|July 13, 2010
Ascending aortic aneurysms: asymmetrical differences in aortic cross-sectional wall motion detected by epiaortic echocardiographyRaj K Modak, George J Koullias, Usha S Govindarajulu, et al.
Journal of Interventional Cardiology|July 6, 2016
Comparison of Two Risk Models in Predicting the Incidence of Contrast-Induced Nephropathy after Percutaneous Coronary InterventionGustavo N Araujo, Marco V Wainstein, James M McCabe, et al.
Pageof 2