4 papers
Nonparametric bounds for causal effects in imperfect randomized experiments
Erin E. Gabriel, Arvid Sjölander, Michael C. Sachs
Nonignorable missingness and noncompliance can occur even in well-designed randomized experiments making the intervention effect that the experiment was designed to estimate nonide…
Causal bounds for outcome-dependent sampling in observational studies
Erin E. Gabriel, Michael C. Sachs, Arvid Sjölander
Outcome-dependent sampling designs are common in many different scientific fields including epidemiology, ecology, and economics. As with all observational studies, such designs of…
Aim for clinical utility, not just predictive accuracy
Michael C Sachs, Arvid Sjölander, Erin E Gabriel
The predictions from an accurate prognostic model can be of great interest to patients and clinicians. When predictions are reported to individuals, they may decide to take action…
Ensemble Prediction of Time to Event Outcomes with Competing Risks: A Case Study of Surgical Complications in Crohn's Disease
Michael C Sachs, Andrea Discacciati, Åsa Everhov +2
We develop a novel algorithm to predict the occurrence of major abdominal surgery within 5 years following Crohn's disease diagnosis using a panel of 29 baseline covariates from th…