Paul W. Mielke
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Also affiliated: Geological Survey of Norway (2006); University of Minnesota (1963–1964); National Oceanic and Atmospheric Administration (1997); Xavier University of Louisiana (2001–2006); South Dakota School of Mines and Technology (1997); Xavier University (1997); United States Army (1989); NOAA National Severe Storms Laboratory (1997); Ohio University (2017); University of Minnesota Medical Center (1964); Colorado State University (1965–2021)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Paul W. Mielke's research has focused on statistical methodologies and their application to environmental and health-related issues. He has authored or co-authored numerous publications, including significant work on permutation methods, which are statistical techniques used for hypothesis testing and data analysis, particularly when traditional assumptions are not met. His work has explored the use of these methods in diverse fields, from meteorological applications to ecological studies involving prairie fires.
Mielke has also investigated environmental contaminants and their impact on human health, specifically focusing on lead concentrations in urban soils and their connection to childhood lead exposure. This research highlights the role of soil as an integrator of pollutants and its implications for public health in urban environments. His extensive publication record, high citation count, and designation as a highly cited researcher underscore the impact of his contributions to statistical science and its practical applications in understanding environmental health challenges.
His scholarly metrics include an h-index of 50, with 394 total publications and 11,466 citations. Mielke has collaborated with Kenneth L. Kvamme on 12 shared publications. His most recent publication was in 2021, indicating ongoing activity in his research areas.
Metrics
- h-index: 50
- Publications: 395
- Citations: 11,536
Selected Publications
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Permutation Statistical Methods with R (2021)
Collaboration Network
Top Collaborators
- Permutation Statistical Methods with R
- Permutation Statistical Methods with R
- Permutation Statistical Methods with R
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