A new mathematical model developed at North Carolina State University in partnership with Assistant Professor of Biostatistics Amy Willis from the University of Washington is profile in this story. Their work highlights a new calibration tool they developed that shows how bias distorts results when measuring bacterial communities through metagenomic sequencing.
A new study conducted by researchers from the Fred Hutchinson Cancer Research Center found that women who follow diets that are low in fat can yield serious health benefits over time, including preventing the onset of serious diseases. “The [Women’s Health Initiative’s] Dietary Modification Trial has provided women with nutrition and disease prevention insights for some years,” said Dr. Ross Prentice, Fred Hutch researcher and UW Professor of Biostatistics.
UW Professor of Biostatistics Ross Prentice is among the team of Fred Hutch researchers that identified several women's health benefits from a low-fat diet. The findings found a low-fat diet commensurate with an increase in fruit, vegetable and grain servings reduced death following breast cancer, slowed diabetes progression and prevented coronary heart disease.
Mauricio Sadinle, an assistant professor of biostatistics from the University of Washington School of Public Health, received a two-year, $150,000 grant from the National Science Foundation to develop tools to identify and link information on individuals who appear in different datasets.
“Cardiac arrhythmias are a leading cause of morbidity and mortality in the United States,” said Shojaie. “While molecular mechanisms of arrhythmias are not fully understood, they likely involve genomic, epigenomic, and environmental influences.”
Biostat Associate Professor Adam Szpiro is co-author of a new study that found that pregnant women exposed to higher levels of air pollutants had children with lower IQs, compared to the children of women exposed to lower levels.
The article quotes UW Research Professor Sharon Browning: “The reality of human history is pretty complex,” she says. “If you simplify too much and don’t capture the right aspects of what really happened then you’re going to be comparing different models, all of which are wrong.”