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OHDSI applies methods to observational data aimed at answering real-world clinical questions, including about drug safety.
Several authors have developed and applied methods to routine data sets to identify the nature and rate of complications following interventional procedures.
We apply our methods to data collected from 543 asthma patients as a part of the Severe Asthma Research Program SARPP).
Public health departments are able to apply these methods to data sources that do not have long periods of baseline data.
Previously, researchers have applied multivariate methods to data that are pooled after statistically neutralizing any group-effect.
Applying these methods to data collected during the RAPRASI study will allow accurate spatial registration of regional changes in SPECT signal to planned radiotherapy dose.
We then applied these methods to data from a previously published case-cohort investigation of the insulin/IGF-axis and colorectal cancer.
We apply our method to data from Senegal, released by Sonatel and Orange for the 2014 Data for Development Challenge.
We apply our method to data derived from chemical perturbations of 65 cancer cell lines with two inhibitors.
We apply this method to data from a previously published literature review on the incubation period of nine respiratory viral infections.
We apply this method to data from two outbreaks on military ships in the 1918 influenza outbreak, as well as well-documented outbreaks in five Maryland communities.
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