Statistical Signal Process in R Language in the Pharmacovigilance Programme of India
| العنوان: | Statistical Signal Process in R Language in the Pharmacovigilance Programme of India |
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| المؤلفون: | Tarani Prakash Shrivastava, Jitin Ahuja, Vipin Kumar, Aman Kumar, Vivekanandan Kalaiselvan |
| المصدر: | Therapeutic Innovation & Regulatory Science. 52:329-333 |
| بيانات النشر: | Springer Science and Business Media LLC, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | R language, Drug-Related Side Effects and Adverse Reactions, India, 030226 pharmacology & pharmacy, 01 natural sciences, Pharmacovigilance, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Family welfare, Adverse Drug Reaction Reporting Systems, Humans, Medicine, Pharmacology (medical), 0101 mathematics, Pharmacology, Toxicology and Pharmaceutics (miscellaneous), Government, Medical education, Models, Statistical, business.industry, Public Health, Environmental and Occupational Health, Data science, Christian ministry, business, Software |
| الوصف: | The Ministry of HealthFamily Welfare, Government of India, initiated the Pharmacovigilance Programme of India (PvPI) in July 2010. The purpose of the PvPI is to collect data on adverse reactions due to medications, analyze it, and use the reference to recommend informed regulatory intervention, besides communicating the risk to health care professionals and the public. The goal of the present study was to apply statistical tools to find the relationship between drugs and ADRs for signal detection by R programming.Four statistical parameters were proposed for quantitative signal detection. These 4 parameters are ICThe structure and calculation of these 4 statistical parameters in R language are easily understandable. On the basis of the IC value (IC value0), out of the 78,983 drug-ADR combination (drug-ADR combination), we found the 8,667 combinations to be significantly associated.The calculation of statistical parameters in R language is time saving and allows to easily identify new signals in the Indian ICSR (Individual Case Safety Reports) database. |
| تدمد: | 2168-4804 2168-4790 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a4bc378879489b8ab22beb4bc9c46d7 https://doi.org/10.1177/2168479017728988 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi.dedup.....3a4bc378879489b8ab22beb4bc9c46d7 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 21684804 21684790 |
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