SPH’s Coordinating Centers for Biometric Research leads global clinical trials to prevent and treat disease.
Lecturer Marta Shore helped perform research that shows how sulfate from wastewater harms Minnesota’s wild rice habitats.
Professor John Connett is a researcher on a new $14 million study examining non-drug approaches to prevent chronic low back pain.
Connor Jo Lewis discovers the field of biostatistics through a love of math and a drive to end cystic fibrosis, a disease she was diagnosed with as a child.
Associate Professor Saonli Basu and Professor Cavan Reilly have been named 2017 Fellows of the American Statistical Association.
A study by Assistant Professor Julian Wolfson tested two popular cardiovascular risk calculators using patient electronic health data and found that they maintain their accuracy at predicting cardiovascular risk when they are used in a clinical setting.
Student Carrie Groth developed a new statistical method for calculating the chemical exposure workers experienced during the Deepwater Horizon oil spill.
Assistant Professor Julian Wolfson creates a smartphone app that allows researchers to understand how people move throughout their day.
A recent study that included University of Minnesota School of Public Health researchers revealed potential benefits of ZMapp, an experimental immune-based treatment for Ebola studied within the PREVAIL II trial. The investigation built on previous drug research showing ZMapp was effective in non-human primates.
The results of the study were published in The New England Journal of Medicine.
The study was written by the PREVAIL II Group, which includes Professor James Neaton, Associate Professor Joseph Koopmeiners, and biostatistician Jacquie Neuhaus Nordwall. Several researchers in the school’s Division of Biostatistics also contributed to the study.
“This study provided useful safety and efficacy data from a well-done randomized trial on an experimental treatment for Ebola,” says Neaton. “While missing statistical significance, the data were sufficient to lead the drug (ZMapp) to be recommended for emergency use if there is a future epidemic.”
The controlled, randomized trial spanning March to November 2015 involved 72 Ebola patients from Sierra Leone, Guinea, Liberia, and the United States. Thirty-five patients received the standard of care, which produced a 37 percent mortality rate. Thirty-six patients received the standard of care as well as the drug, which produced a 22 percent mortality rate.
According to the National Institutes of Health (NIH), the relative difference in mortality between the two groups was 38 percent lower for those who received ZMapp. However, the difference did not reach statistical significance because the epidemic ended before a large enough number of infected patients could be enrolled in the study.
The investigators said the results of the study can still be considered promising and that there is a greater than 90 percent probability that the drug is effective.
“It also established that one can conduct a properly designed randomized trial in a very difficult setting: the setting of an epidemic and a setting with very limited resources,” says Neaton.
School of Public Health Assistant Professor Julian Wolfson was named an associate editor for reproducibility for the Journal of the American Statistical Association (JASA). The appointment is in support of the journal’s new requirement for authors to submit scientific code and data for review along with their papers.
The journal said it’s adding the editors and requirement to ensure the reproducibility of scientific results reported in its studies. The move follows similar action recently taken by many medical journals.
“Reproducibility is a hot topic and there’s been a lot of back-and-forth about it among clinical trials and open-science researchers,” says Wolfson, who has extensive experience in statistical programming.
JASA says the code and data from published studies will be offered mainly through its website, and the aim of the review work by Wolfson and the editorial team is to assess the information’s availability, quality, and potential usability for people wanting to reproduce research.