Stephen M. Stigler

Stephen M. Stigler is affiliated with the University of Chicago in the United States. Their research spans across multiple disciplines including Mathematics, Medicine, and Computer Science, with a primary focus on Statistics and Probability and Artificial Intelligence.

The scientist has contributed extensively to subfields such as Pharmacology, Finance, and Pathology and Forensic Medicine. Their work predominantly covers topics like Statistical Methods and Inference, Bayesian Methods and Mixture Models, Musculoskeletal Pain and Rehabilitation, Statistical Distribution Estimation and Applications, Spine and Intervertebral Disc Pathology, Control Systems and Identification, and Advanced Statistical Methods and Models.

Among recent papers authored by or associated with this scientist are:

• Finite Mixture Models Based on Pain Intensity, Functional Disability and Psychological Distress Composite Assessment Allow Identification of Two Distinct Classes of Persistent Spinal Pain Syndrome after Surgery Patients Related to Their Quality of Life, 2021, Journal of Clinical Medicine
• A Novel Multi-Dimensional Clinical Response Index Dedicated to Improving Global Assessment of Pain in Patients with Persistent Spinal Pain Syndrome after Spinal Surgery, Based on a Real-Life Prospective Multicentric Study (PREDIBACK) and Machine Learning Techniques, 2021, Journal of Clinical Medicine
• Machine Learning Algorithms Provide Greater Prediction of Response to SCS Than Lead Screening Trial: A Predictive AI-Based Multicenter Study, 2021, Journal of Clinical Medicine
• Mechanisms of FH Protection Against Neovascular AMD, 2020, Frontiers in Immunology
• A Novel Multi-dimensional Clinical Response Index Dedicated to Improving Global Assessment of Pain in Patients with Persistent Spinal Pain Syndrome After Spinal Surgery, Based on a Real-life Prospective Multicentric Study (PREDIBACK) and Machine Learning, 2021, Preprints.org

The scientist frequently collaborates with peers including Pierre-Yves Louis, Amine Ounajim, Maxime Billot, Philippe Rigoard, and Lisa Goudman.

Publication venues where they have contributed multiple works include:

• Communication in Statistics- Theory and Methods
• Statistics Optimization & Information Computing
• Neuromodulation Technology at the Neural Interface
• Journal of Clinical Medicine
• Preprints.org

Stigler has been recognized by several fellowships throughout their career, including:

• Fellow of the American Statistical Association (ASA), 1976
• Fellow of John Simon Guggenheim Memorial Foundation, 1976
• Fellow of the American Association for the Advancement of Science (AAAS), 1981
• Fellow of the American Academy of Arts and Sciences, 1987