M
Michael E. Miller
Researcher at Wake Forest University
Publications - 163
Citations - 13606
Michael E. Miller is an academic researcher from Wake Forest University. The author has contributed to research in topics: Randomized controlled trial & Type 2 diabetes. The author has an hindex of 54, co-authored 161 publications receiving 11798 citations. Previous affiliations of Michael E. Miller include Veterans Health Administration & Case Western Reserve University.
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Journal ArticleDOI
Effect of Structured Physical Activity on Prevention of Major Mobility Disability in Older Adults: The LIFE Study Randomized Clinical Trial
Marco Pahor,Jack M. Guralnik,Jack M. Guralnik,Walter T. Ambrosius,Steven N. Blair,Denise E. Bonds,Timothy S. Church,Mark A. Espeland,Roger A. Fielding,Thomas M. Gill,Erik J. Groessl,Erik J. Groessl,Abby C. King,Stephen B. Kritchevsky,Todd M. Manini,Mary M. McDermott,Michael E. Miller,Anne B. Newman,W. Jack Rejeski,Kaycee M. Sink,Jeff D. Williamson +20 more
TL;DR: The findings suggest mobility benefit from a structured, moderate-intensity physical activity program compared with a health education program reduced major mobility disability over 2.6 years among older adults at risk for disability.
Journal ArticleDOI
Long-Term Effects of Intensive Glucose Lowering on Cardiovascular Outcomes
Hertzel C. Gerstein,Michael E. Miller,Saul Genuth,Faramarz Ismail-Beigi,John B. Buse,David C. Goff,Jeffrey L. Probstfield,William C. Cushman,Henry N. Ginsberg,J. Thomas Bigger,Richard H. Grimm,Robert P. Byington,Yves Rosenberg,William T. Friedewald +13 more
TL;DR: The use of intensive therapy for 3.7 years to target a glycated hemoglobin level below 6% reduced 5-year nonfatal myocardial infarctions but increased 5- year mortality, and such a strategy cannot be recommended for high-risk patients with advanced type 2 diabetes.
Journal ArticleDOI
The association between symptomatic, severe hypoglycaemia and mortality in type 2 diabetes: retrospective epidemiological analysis of the ACCORD study
Denise E. Bonds,Michael E. Miller,Richard M. Bergenstal,John B. Buse,Robert P. Byington,Jeff A Cutler,R James Dudl,Faramarz Ismail-Beigi,Angela R. Kimel,Byron J. Hoogwerf,Byron J. Hoogwerf,Karen R. Horowitz,Peter J. Savage,Elizabeth R. Seaquist,Debra L. Simmons,Debra L. Simmons,William I. Sivitz,Joann M Speril-Hillen,Mary Ellen Sweeney +18 more
TL;DR: Symptomatic, severe hypoglycaemia was associated with an increased risk of death within each study arm, however, among participants who experienced at least one episode of hypglycaemia, the risk ofdeath was lower in such participants in the intensive arm than in the standard arm.
Journal ArticleDOI
Effects of a physical activity intervention on measures of physical performance: Results of the lifestyle interventions and independence for Elders Pilot (LIFE-P) study.
Marco Pahor,Steven N. Blair,Mark A. Espeland,Roger A. Fielding,Thomas M. Gill,Jack M. Guralnik,Evan C. Hadley,Abby C. King,Stephen B. Kritchevsky,Cinzia Maraldi,Michael E. Miller,Anne B. Newman,Walter J. Rejeski,Sergei Romashkan,Stephanie A. Studenski +14 more
TL;DR: A structured PA intervention improved the SPPB score and other measures of physical performance and may also offer benefit on more distal health outcomes, such as mobility disability.
Journal ArticleDOI
A Comparison of Random Forest Variable Selection Methods for Classification Prediction Modeling.
TL;DR: Based on this study, the best variable selection methods for most datasets are Jiang's method and the method implemented in the VSURF R package, and for datasets with many predictors, the methods implement in the R packages varSelRF and Boruta are preferable due to computational efficiency.