Pharmacovigilance studies without a priori hypothesis systematic review highlights inappropriate multiple testing correction procedures.
L Gaucher, P Sabatier, S Katsahian… - Journal of Clinical …, 2023 - Elsevier
Objective The purpose of this study was to systematically review the statistical methods used
in pharmacovigilance studies without a priori hypotheses. Study Design and Setting A …
in pharmacovigilance studies without a priori hypotheses. Study Design and Setting A …
A comprehensive review of computational techniques for the prediction of drug side effects
Drugs refer to the chemical compounds that are consumed by the human body and induce a
change by interacting with the protein targets. The drugs may induce favorable or …
change by interacting with the protein targets. The drugs may induce favorable or …
Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs
Objective Adverse drug reaction (ADR) is one of the major causes of failure in drug
development. Severe ADRs that go undetected until the post-marketing phase of a drug …
development. Severe ADRs that go undetected until the post-marketing phase of a drug …
Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery
Large observational data sets are a great asset to better understand the effects of medicines
in clinical practice and, ultimately, improve patient care. For an empirical pattern in …
in clinical practice and, ultimately, improve patient care. For an empirical pattern in …
Data mining techniques in pharmacovigilance: analysis of the publicly accessible FDA adverse event reporting system (AERS)
E Poluzzi, E Raschi, C Piccinni… - Data mining applications …, 2012 - books.google.com
Drug use in medicine is based on a balance between expected benefits (already
investigated before marketing authorization) and possible risks (ie, adverse effects), which …
investigated before marketing authorization) and possible risks (ie, adverse effects), which …
Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports
Objective Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse
drug reactions and resulting in significant morbidity and mortality. Early discovery of adverse …
drug reactions and resulting in significant morbidity and mortality. Early discovery of adverse …
Mining patients' narratives in social media for pharmacovigilance: adverse effects and misuse of methylphenidate
X Chen, C Faviez, S Schuck, A Lillo-Le-Louët… - Frontiers in …, 2018 - frontiersin.org
Background: The Food and Drug Administration (FDA) in the United States and the
European Medicines Agency (EMA) have recognized social media as a new data source to …
European Medicines Agency (EMA) have recognized social media as a new data source to …
Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records
Objective Medication safety requires that each drug be monitored throughout its market life
as early detection of adverse drug reactions (ADRs) can lead to alerts that prevent patient …
as early detection of adverse drug reactions (ADRs) can lead to alerts that prevent patient …
A review of statistical methods for safety surveillance
L Huang, T Guo, JN Zalkikar… - … Innovation & Regulatory …, 2014 - journals.sagepub.com
The data-mining statistical methods used for disproportionality analysis of drug–adverse
event combinations from large drug safety databases such as the FDA's Adverse Event …
event combinations from large drug safety databases such as the FDA's Adverse Event …
Improving drug safety: From adverse drug reaction knowledge discovery to clinical implementation
Adverse drug reactions (ADRs) are a major public health concern, causing over 100,000
fatalities in the United States every year with an annual cost of $136 billion. Early detection …
fatalities in the United States every year with an annual cost of $136 billion. Early detection …