Detection algorithms and attentive points of safety signal using spontaneous reporting systems as a clinical data source
出版年份 2021 全文链接
标题
Detection algorithms and attentive points of safety signal using spontaneous reporting systems as a clinical data source
作者
关键词
-
出版物
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2021-08-10
DOI
10.1093/bib/bbab347
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Role and Applicability of Spontaneous Reporting Databases in Medical Big Data
- (2021) Takamasa Sakai YAKUGAKU ZASSHI-JOURNAL OF THE PHARMACEUTICAL SOCIETY OF JAPAN
- Fatal adverse drug reactions: A worldwide perspective in the World Health Organization pharmacovigilance database
- (2021) Jean‐Louis Montastruc et al. BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
- Adverse drug reaction or innocent bystander? A systematic comparison of statistical discovery methods for spontaneous reporting systems
- (2020) Louis Dijkstra et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- The quality assessment of the Japanese Adverse Drug Event Report database using vigiGrade
- (2020) Masami Tsuchiya et al. International Journal of Clinical Pharmacy
- Comparison of Signal Detection Algorithms Based on Frequency Statistical Model for Drug-Drug Interaction Using Spontaneous Reporting Systems
- (2020) Yoshihiro Noguchi et al. PHARMACEUTICAL RESEARCH
- Antiepileptic combination therapy with Stevens‐Johnson syndrome and toxic epidermal necrolysis: Analysis of a Japanese pharmacovigilance database
- (2020) Yoshihiro Noguchi et al. EPILEPSIA
- Borrowing external information to improve Bayesian confidence propagation neural network
- (2020) Keisuke Tada et al. EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY
- Comparison of Data Mining Methods for the Signal Detection of Adverse Drug Events with a Hierarchical Structure in Postmarketing Surveillance
- (2020) Goeun Park et al. Life-Basel
- Safety concerns reported by consumers, manufacturers and healthcare professionals: A detailed evaluation of opioid‐related adverse drug reactions in the FDA database over 15 years
- (2020) Christian A. Andreaggi et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Analysis of immune‐related adverse events caused by immune checkpoint inhibitors using the Japanese Adverse Drug Event Report database
- (2020) Shiori Hasegawa et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Extended multi‐item gamma Poisson shrinker methods based on the zero‐inflated Poisson model for postmarket drug safety surveillance
- (2020) Seok‐Jae Heo et al. STATISTICS IN MEDICINE
- Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio
- (2020) Yoshihiro Noguchi et al. Pharmaceuticals
- A Comparison Study of Algorithms to Detect Drug–Adverse Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches
- (2019) Minh Pham et al. DRUG SAFETY
- Time to onset in statistical signal detection revisited: A follow‐up study in long‐term onset adverse drug reactions
- (2019) Joep H.G. Scholl et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Breast cancer and spironolactone: an observational postmarketing study
- (2019) Pierre Sabatier 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
- Association between dipeptidyl peptidase-4 inhibitor and aspiration pneumonia: disproportionality analysis using the spontaneous reporting system in Japan
- (2019) Yoshihiro Noguchi et al. EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY
- Quality evaluation of the Japanese Adverse Drug Event Report database (JADER)
- (2019) Masami Tsuchiya et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- A simple method for exploring adverse drug events in patients with different primary diseases using spontaneous reporting system
- (2018) Yoshihiro Noguchi et al. BMC BIOINFORMATICS
- A New Search Method Using Association Rule Mining for Drug-Drug Interaction Based on Spontaneous Report System
- (2018) Yoshihiro Noguchi et al. Frontiers in Pharmacology
- Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data
- (2018) Chunlei Zheng et al. BMC BIOINFORMATICS
- 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
- SGLT-2 inhibitors and ketoacidosis: a disproportionality analysis in the World Health Organization's adverse drug reactions database
- (2017) Abdel Nasser Ado Moumouni et al. FUNDAMENTAL & CLINICAL PHARMACOLOGY
- VigiBase, the WHO Global ICSR Database System: Basic Facts
- (2017) Marie Lindquist DRUG INFORMATION JOURNAL
- Dipeptidyl peptidase-4 inhibitors and heart failure: Analysis of spontaneous reports submitted to the FDA Adverse Event Reporting System
- (2016) E. Raschi et al. NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES
- The value of time-to-onset in statistical signal detection of adverse drug reactions: a comparison with disproportionality analysis in spontaneous reports from the Netherlands
- (2016) Joep H. G. Scholl et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Effect of database profile variation on drug safety assessment: an analysis of spontaneous adverse event reports of Japanese cases
- (2015) Kaori Nomura et al. Drug Design Development and Therapy
- The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
- (2015) Takaya Saito et al. PLoS One
- Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining Algorithms
- (2014) Toshiyuki Sakaeda et al. International Journal of Medical Sciences
- Effect of reporting bias in the analysis of spontaneous reporting data
- (2014) Palash Ghosh et al. PHARMACEUTICAL STATISTICS
- Acute kidney injury during concomitant use of valacyclovir and loxoprofen: detecting drug-drug interactions in a spontaneous reporting system
- (2014) Zhihua Yue et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Performance of Pharmacovigilance Signal-Detection Algorithms for the FDA Adverse Event Reporting System
- (2013) R Harpaz et al. CLINICAL PHARMACOLOGY & THERAPEUTICS
- Data Mining of the Public Version of the FDA Adverse Event Reporting System
- (2013) Toshiyuki Sakaeda et al. International Journal of Medical Sciences
- Alleged isotretinoin-associated inflammatory bowel disease: Disproportionate reporting by attorneys to the Food and Drug Administration Adverse Event Reporting System
- (2013) Derrick J. Stobaugh et al. JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY
- A Review of Statistical Methods for Safety Surveillance
- (2013) Lan Huang et al. Therapeutic Innovation & Regulatory Science
- Using time-to-onset for detecting safety signals in spontaneous reports of adverse events following immunization: a proof of concept study
- (2012) Lionel Van Holle et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Epidemiology and characteristics of adverse drug reactions caused by drug–drug interactions
- (2011) Lara Magro et al. Expert Opinion On Drug Safety
- A Likelihood Ratio Test Based Method for Signal Detection With Application to FDA’s Drug Safety Data
- (2011) Lan Huang et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Mining multi-item drug adverse effect associations in spontaneous reporting systems
- (2010) Rave Harpaz et al. BMC BIOINFORMATICS
- An Experimental Investigation of Masking in the US FDA Adverse Event Reporting System Database
- (2010) Hsin-wei Wang et al. DRUG SAFETY
- Influence of the MedDRA® hierarchy on pharmacovigilance data mining results
- (2009) Ronald K. Pearson et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Quantitative signal detection using spontaneous ADR reporting
- (2009) A. Bate et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- A statistical methodology for drug–drug interaction surveillance
- (2008) G. Niklas Norén et al. STATISTICS IN MEDICINE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started