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Björn Koneswarakantha

Showing results (1-10 of 7) with videos related to

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Therapeutic Innovation & Regulatory Science|March 9, 2022
Statistical Modeling for Quality Risk Assessment of Clinical Trials: Follow-Up at the Era of Remote AuditingBjörn Koneswarakantha, Timothé Ménard
Therapeutic Innovation & Regulatory Science|March 12, 2026
Enhancing Data Quality in Clinical Trials: Cross-Company Validation of the Open-Source Clinical Trial Anomaly Spotter (CTAS)Pekka Tiikkainen, Frederik Collin, Björn Koneswarakantha
Pharmaceutical Medicine|August 26, 2021
Clinical Quality in Cancer Research: Strategy to Assess Data Integrity of Germline Variants Inferred from Tumor-Only Testing Sequencing DataTimothé Ménard, Donato Rolo, Björn Koneswarakantha
Drug Safety|May 25, 2019
Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine LearningTimothé Ménard, Yves Barmaz, Björn Koneswarakantha, et al.
Contemporary Clinical Trials Communications|October 19, 2020
Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study exampleTimothé Ménard, Rich Bowling, Pooja Mehta, et al.
Therapeutic Innovation & Regulatory Science|September 1, 2020
Harnessing the Power of Quality Assurance Data: Can We Use Statistical Modeling for Quality Risk Assessment of Clinical Trials?Björn Koneswarakantha, Timothé Ménard, Donato Rolo, et al.
Therapeutic Innovation & Regulatory Science|April 2, 2024
An Open-Source R Package for Detection of Adverse Events Under-Reporting in Clinical Trials: Implementation and Validation by the IMPALA (Inter coMPany quALity Analytics) ConsortiumBjörn Koneswarakantha, Ronojit Adyanthaya, Jennifer Emerson, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Therapeutic Innovation & Regulatory Science|March 9, 2022
Statistical Modeling for Quality Risk Assessment of Clinical Trials: Follow-Up at the Era of Remote AuditingBjörn Koneswarakantha, Timothé Ménard
Therapeutic Innovation & Regulatory Science|March 12, 2026
Enhancing Data Quality in Clinical Trials: Cross-Company Validation of the Open-Source Clinical Trial Anomaly Spotter (CTAS)Pekka Tiikkainen, Frederik Collin, Björn Koneswarakantha
Pharmaceutical Medicine|August 26, 2021
Clinical Quality in Cancer Research: Strategy to Assess Data Integrity of Germline Variants Inferred from Tumor-Only Testing Sequencing DataTimothé Ménard, Donato Rolo, Björn Koneswarakantha
Drug Safety|May 25, 2019
Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine LearningTimothé Ménard, Yves Barmaz, Björn Koneswarakantha, et al.
Contemporary Clinical Trials Communications|October 19, 2020
Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study exampleTimothé Ménard, Rich Bowling, Pooja Mehta, et al.
Therapeutic Innovation & Regulatory Science|September 1, 2020
Harnessing the Power of Quality Assurance Data: Can We Use Statistical Modeling for Quality Risk Assessment of Clinical Trials?Björn Koneswarakantha, Timothé Ménard, Donato Rolo, et al.
Therapeutic Innovation & Regulatory Science|April 2, 2024
An Open-Source R Package for Detection of Adverse Events Under-Reporting in Clinical Trials: Implementation and Validation by the IMPALA (Inter coMPany quALity Analytics) ConsortiumBjörn Koneswarakantha, Ronojit Adyanthaya, Jennifer Emerson, et al.
Pageof 1