Dr. Schipper works to develop and apply statistical methods to improve the quality and length of life for patients with cancer or other illnesses. He works with multi-disciplinary teams with clinicians, biostatistical faculty, staff and students as well as faculty from biology, medical physics, emergency medicine and nuclear medicine. While phase III randomized clinical trials provide good estimates of average treatment effects, there is often substantial variation between patients in disease characteristics and general health that leads to variation in benefit from treatment. Dr. Schipper is particularly interested in building predictive models for the efficacy and toxicity of treatment and integrating these models to inform optimal treatment decisions for individual patients. These models are implemented in web apps to facilitate ease of clinical use.