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Patrick B Ryan

Showing results (41-50 of 163) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|March 14, 2018
Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare dataMartijn J Schuemie, George Hripcsak, Patrick B Ryan, et al.
Statistics in Medicine|September 6, 2016
Robust empirical calibration of p-values using observational dataMartijn J Schuemie, George Hripcsak, Patrick B Ryan, et al.
International Clinical Psychopharmacology|March 3, 2015
Switching from risperidone long-acting injectable to paliperidone long-acting injectable or oral antipsychotics: analysis of a Medicaid claims databaseErica A Voss, Patrick B Ryan, Paul E Stang, et al.
Drug Safety|June 4, 2025
Large-scale Empirical Identification of Candidate Comparators for Pharmacoepidemiological StudiesJustin Bohn, James P Gilbert, Christopher Knoll, et al.
Biostatistics (Oxford, England)|September 27, 2013
Discussion: An estimate of the science-wise false discovery rate and application to the top medical literatureMartijn J Schuemie, Patrick B Ryan, Marc A Suchard, et al.
Journal of Biomedical Informatics|September 8, 2016
GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studiesAnando Sen, Shreya Chakrabarti, Andrew Goldstein, et al.
Statistics in Medicine|August 1, 2013
Interpreting observational studies: why empirical calibration is needed to correct p-valuesMartijn J Schuemie, Patrick B Ryan, William DuMouchel, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|August 8, 2018
Improving reproducibility by using high-throughput observational studies with empirical calibrationMartijn J Schuemie, Patrick B Ryan, George Hripcsak, et al.
Yearbook of Medical Informatics|April 21, 2021
Drawing Reproducible Conclusions from Observational Clinical Data with OHDSIGeorge Hripcsak, Martijn J Schuemie, David Madigan, et al.
Statistical Methods in Medical Research|April 2, 2014
Detecting adverse drug reactions following long-term exposure in longitudinal observational data: The exposure-adjusted self-controlled case seriesMartijn J Schuemie, Gianluca Trifirò, Preciosa M Coloma, et al.
Pageof 17

Showing results (41-50 of 163) with videos related to

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Pageof 17
Proceedings of the National Academy of Sciences of the United States of America|March 14, 2018
Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare dataMartijn J Schuemie, George Hripcsak, Patrick B Ryan, et al.
Statistics in Medicine|September 6, 2016
Robust empirical calibration of p-values using observational dataMartijn J Schuemie, George Hripcsak, Patrick B Ryan, et al.
International Clinical Psychopharmacology|March 3, 2015
Switching from risperidone long-acting injectable to paliperidone long-acting injectable or oral antipsychotics: analysis of a Medicaid claims databaseErica A Voss, Patrick B Ryan, Paul E Stang, et al.
Drug Safety|June 4, 2025
Large-scale Empirical Identification of Candidate Comparators for Pharmacoepidemiological StudiesJustin Bohn, James P Gilbert, Christopher Knoll, et al.
Biostatistics (Oxford, England)|September 27, 2013
Discussion: An estimate of the science-wise false discovery rate and application to the top medical literatureMartijn J Schuemie, Patrick B Ryan, Marc A Suchard, et al.
Journal of Biomedical Informatics|September 8, 2016
GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studiesAnando Sen, Shreya Chakrabarti, Andrew Goldstein, et al.
Statistics in Medicine|August 1, 2013
Interpreting observational studies: why empirical calibration is needed to correct p-valuesMartijn J Schuemie, Patrick B Ryan, William DuMouchel, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|August 8, 2018
Improving reproducibility by using high-throughput observational studies with empirical calibrationMartijn J Schuemie, Patrick B Ryan, George Hripcsak, et al.
Yearbook of Medical Informatics|April 21, 2021
Drawing Reproducible Conclusions from Observational Clinical Data with OHDSIGeorge Hripcsak, Martijn J Schuemie, David Madigan, et al.
Statistical Methods in Medical Research|April 2, 2014
Detecting adverse drug reactions following long-term exposure in longitudinal observational data: The exposure-adjusted self-controlled case seriesMartijn J Schuemie, Gianluca Trifirò, Preciosa M Coloma, et al.
Pageof 17