This seminar series features one to two hour overviews of various topics involving “big data”, typically offered every other month. Topics include big data in multiple contexts: omics technologies, wearables, imaging, electronic health records, and more.
Presenters first present their expertise which is followed by a questions and answer session with the speaker, and sometimes a panel of experts on the topic of interest. These events are engaging and interactive so attendees can get answers to questions they have or connect with audience members who may be able to help them.
A topical overview is provided, along with some examples of the types of questions that can be investigated (and answered using big data) in the given domain. Practical tips for handling the domain-specific data and the accompanying statistical analyses are also offered.
Synthesizing evidence related to public health topics, including measures to prevent the spread of COVID-19, raises a number of methodological challenges. Accurate information on harms (often called “adverse events”) is essential for patient and provider decision making. Systematic reviews of harms are challenging because of fragmented data collection, suboptimal reporting in primary studies, and statistical issues associated with rate events.Wednesday: November 11, 2020
Tianjing Li, Ph.D. and Lisa Bero, Ph.D.