Please wait, while we are loading the content...
| Content Provider | ACM Digital Library |
|---|---|
| Author | Norén, G. Niklas Hopstadius, Johan |
| Abstract | The identification of unanticipated statistical associations is a core activity in exploratory analysis of high-dimensional biomedical data. Specifically, post-marketing surveillance for harmful effects of medicines relies on effective algorithms to detect associations between drugs and suspected adverse drug reactions. The WHO global individual case safety reports database, VigiBase, holds over six million reports and covers more than ten thousand medicinal products and thousands of distinct medical concepts. It collects data from more than 100 countries across the world and its first reports date back to the late 1960s. Local patterns may not show in database-wide analyses, and many others will vary substantially in strength or direction across data subsets. Still, routine screening of this and similar databases relies on global measures of association. In this paper, we propose a framework to detect local associations and characterise subset variability in high-dimensional data. We use shrinkage observed-to-expected ratios and employ multiple stratification by one or two covariates at a time. We consider subset-specific, stratified-then-pooled adjusted measures, and a novel measure to detect associations that hold in all-but-one subset. We use covariate permutation to select stratification covariates and gauge the vulnerability to spurious associations. Chance findings are a major concern! A naive subgroup analysis yielded more than 50% spurious local associations in VigiBase. To improve on this, we enforce conservative credibility intervals and also look for subset-specific associations that reproduce in at least one additional subset (e.g. two time periods). In addition to 119,500 global associations between drugs and medical events in VigiBase, such robust subgroup analysis uncovered 14,600 local associations at an estimated rate of 2.2% spurious. |
| Starting Page | 265 |
| Ending Page | 274 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450307819 |
| DOI | 10.1145/2110363.2110395 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-01-28 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Frequent patterns Permutation test Multiple comparisons Adverse drug reaction surveillance Associations Stratification Subset analysis |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|