Comparison of Signal Detection Algorithms Based on Frequency Statistical Model for Drug-Drug Interaction Using Spontaneous Reporting Systems

Disproportionality Analysis for Pharmacovigilance Signal Detection in Small Databases or Subsets: Recommendations for Limiting False-Positive Associations

(2020) Ola Caster et al.   DRUG SAFETY

A Comparison Study of Algorithms to Detect Drug–Adverse Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches

(2019) Minh Pham et al.   DRUG SAFETY

HLA-B*58:01 Genotyping to Prevent Cases of DRESS and SJS/TEN in East Asians Treated with Allopurinol—A Canadian Missed Opportunity

(2019) Marisa Grace Ponzo et al.   JOURNAL OF CUTANEOUS MEDICINE AND SURGERY

Drug interactions between tacrolimus and clotrimazole troche: a data mining approach followed by a pharmacokinetic study

(2019) Takaya Uno et al.   EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY

Review of Statistical Methodologies for Detecting Drug–Drug Interactions Using Spontaneous Reporting Systems

(2019) Yoshihiro Noguchi et al.   Frontiers in Pharmacology

Utilization of chi-square statistics for screening adverse drug-drug interactions in spontaneous reporting systems

(2017) Masahiko Gosho et al.   EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY

Prevention of antipsychotic-induced hyperglycaemia by vitamin D: a data mining prediction followed by experimental exploration of the molecular mechanism

(2016) Takuya Nagashima et al.   Scientific Reports

Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining Algorithms

(2014) Toshiyuki Sakaeda et al.   International Journal of Medical Sciences

Treatment of toxic epidermal necrolysis with intravenous immunoglobulin: a series of three cases

(2012) Cristiane Comparin et al.   ANAIS BRASILEIROS DE DERMATOLOGIA

A statistical methodology for drug–drug interaction surveillance

(2008) G. Niklas Norén et al.   STATISTICS IN MEDICINE