Development and application of a novel metric to assess effectiveness of biomedical data.

ABSTRACT:

Objective

Design a metric to assess the comparative effectiveness of biomedical data elements within a study that incorporates their statistical relatedness to a given outcome variable as well as a measurement of the quality of their underlying data.

Materials and methods

The cohort consisted of 874 patients with adenocarcinoma of the lung, each with 47 clinical data elements. The p value for each element was calculated using the Cox proportional hazard univariable regression model with overall survival as the endpoint. An attribute or A-score was calculated by quantification of an element's four quality attributes; Completeness, Comprehensiveness, Consistency and Overall-cost. An effectiveness or E-score was obtained by calculating the conditional probabilities of the p-val

SUBMITTER: Bloom GC 

PROVIDER: S-EPMC3753524 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature