Does biomarker use in oncology improve clinical trial failure risk? A large-scale analysis.

Purpose: To date there has not been an extensive analysis of the outcomes of biomarker use in oncology.

Methods: Data were pooled across four indications in oncology drawing upon trial outcomes from www.clinicaltrials.

Empirical Models of Social Learning in a Large, Evolving Network.

This paper advances theories of social learning through an empirical examination of how social networks change over time. Social networks are important for learning because they constrain individuals' access to information about the behaviors and cognitions of other people. Using data on a large social network of mobile device users over a one-month time period, we test three hypotheses: 1) attraction homophily causes individuals to form ties on the basis of attribute similarity, 2) aversion homophily causes individuals to delete existing ties on the basis of attribute dissimilarity, and 3) social influence causes individuals to adopt the attributes of others they share direct ties with.