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Pascale Tubert-Bitter

Showing results (1-10 of 77) with videos related to

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The Lancet. Public Health|February 17, 2022
COVID-19 and social inequalities: a complex and dynamic interactionCatherine Quantin, Pascale Tubert-Bitter
Biometrical Journal. Biometrische Zeitschrift|May 27, 2016
Bayesian model selection in logistic regression for the detection of adverse drug reactionsMatthieu Marbac, Pascale Tubert-Bitter, Mohammed Sedki
Statistical Methods in Medical Research|April 27, 2016
Class-imbalanced subsampling lasso algorithm for discovering adverse drug reactionsIsmaïl Ahmed, Antoine Pariente, Pascale Tubert-Bitter
Vaccine|January 18, 2015
Intussusception risk after RotaTeq vaccination: evaluation from worldwide spontaneous reporting data using a self-controlled case series approachSylvie Escolano, Catherine Hill, Pascale Tubert-Bitter
BMC Medical Research Methodology|December 2, 2021
New adaptive lasso approaches for variable selection in automated pharmacovigilance signal detectionÉmeline Courtois, Pascale Tubert-Bitter, Ismaïl Ahmed
Statistics in Medicine|May 5, 2022
Analyzing cohort studies with interval-censored data: A new model-based linear rank-type testRodolphe Jantzen, Pascale Tubert-Bitter, Philippe Broët
Statistical Methods in Medical Research|October 17, 2012
Comparison of two drug safety signals in a pharmacovigilance data mining frameworkPascale Tubert-Bitter, Bernard Bégaud, Ismaïl Ahmed
BMC Medical Research Methodology|June 23, 2018
Instrumental variable analysis in the context of dichotomous outcome and exposure with a numerical experiment in pharmacoepidemiologyBabagnidé François Koladjo, Sylvie Escolano, Pascale Tubert-Bitter
Euro Surveillance : Bulletin Europeen Sur Les Maladies Transmissibles = European Communicable Disease Bulletin|August 22, 2020
Accounting for indirect protection in the benefit-risk ratio estimation of rotavirus vaccination in children under the age of 5 years, France, 2018Sylvie Escolano, Judith E Mueller, Pascale Tubert-Bitter
Statistics in Medicine|December 12, 2024
A Simple Information Criterion for Variable Selection in High-Dimensional RegressionMatthieu Pluntz, Cyril Dalmasso, Pascale Tubert-Bitter, et al.
Pageof 8

Showing results (1-10 of 77) with videos related to

Sort By:
Pageof 8
The Lancet. Public Health|February 17, 2022
COVID-19 and social inequalities: a complex and dynamic interactionCatherine Quantin, Pascale Tubert-Bitter
Biometrical Journal. Biometrische Zeitschrift|May 27, 2016
Bayesian model selection in logistic regression for the detection of adverse drug reactionsMatthieu Marbac, Pascale Tubert-Bitter, Mohammed Sedki
Statistical Methods in Medical Research|April 27, 2016
Class-imbalanced subsampling lasso algorithm for discovering adverse drug reactionsIsmaïl Ahmed, Antoine Pariente, Pascale Tubert-Bitter
Vaccine|January 18, 2015
Intussusception risk after RotaTeq vaccination: evaluation from worldwide spontaneous reporting data using a self-controlled case series approachSylvie Escolano, Catherine Hill, Pascale Tubert-Bitter
BMC Medical Research Methodology|December 2, 2021
New adaptive lasso approaches for variable selection in automated pharmacovigilance signal detectionÉmeline Courtois, Pascale Tubert-Bitter, Ismaïl Ahmed
Statistics in Medicine|May 5, 2022
Analyzing cohort studies with interval-censored data: A new model-based linear rank-type testRodolphe Jantzen, Pascale Tubert-Bitter, Philippe Broët
Statistical Methods in Medical Research|October 17, 2012
Comparison of two drug safety signals in a pharmacovigilance data mining frameworkPascale Tubert-Bitter, Bernard Bégaud, Ismaïl Ahmed
BMC Medical Research Methodology|June 23, 2018
Instrumental variable analysis in the context of dichotomous outcome and exposure with a numerical experiment in pharmacoepidemiologyBabagnidé François Koladjo, Sylvie Escolano, Pascale Tubert-Bitter
Euro Surveillance : Bulletin Europeen Sur Les Maladies Transmissibles = European Communicable Disease Bulletin|August 22, 2020
Accounting for indirect protection in the benefit-risk ratio estimation of rotavirus vaccination in children under the age of 5 years, France, 2018Sylvie Escolano, Judith E Mueller, Pascale Tubert-Bitter
Statistics in Medicine|December 12, 2024
A Simple Information Criterion for Variable Selection in High-Dimensional RegressionMatthieu Pluntz, Cyril Dalmasso, Pascale Tubert-Bitter, et al.
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