Calibrating predictive model estimates in a distributed network of patient data
- 1 April 2021
- journal article
- research article
- Published by Elsevier BV in Journal of Biomedical Informatics
- Vol. 117, 103758
- https://doi.org/10.1016/j.jbi.2021.103758
Abstract
No abstract availableKeywords
Funding Information
- National Institutes of Health (R01GM118609, R01HL136835)
This publication has 21 references indexed in Scilit:
- Combining distributed regression and propensity scores: a doubly privacy-protecting analytic method for multicenter researchClinical Epidemiology, 2018
- Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different SourcesJMIR Public Health and Surveillance, 2018
- WebGLORE: a Web service for Grid LOgistic REgressionBioinformatics, 2013
- Grid Binary LOgistic REgression (GLORE): building shared models without sharing dataJournal of the American Medical Informatics Association, 2012
- A secure distributed logistic regression protocol for the detection of rare adverse drug eventsJournal of the American Medical Informatics Association, 2012
- Standardizing the power of the Hosmer–Lemeshow goodness of fit test in large data setsStatistics in Medicine, 2012
- Multivariate-adjusted pharmacoepidemiologic analyses of confidential information pooled from multiple health care utilization databasesPharmacoepidemiology and Drug Safety, 2010
- Randomized Shellsort: A Simple Oblivious Sorting AlgorithmPublished by Society for Industrial & Applied Mathematics (SIAM) ,2010
- Increasing the Reliability of Reliability DiagramsWeather and Forecasting, 2007
- Predicting good probabilities with supervised learningPublished by Association for Computing Machinery (ACM) ,2005