Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...
About The Study: Adoption of the proposed framework to identify when causal interpretation is appropriate in observational studies promises to facilitate better communication between authors, ...
Despite the contributions of more than 700,000 men to randomized controlled trials (RCTs) of prostate cancer (PC) screening over several decades, it is still unclear whether there is a PC-specific ...
Epidemiological methods provide a comprehensive toolkit for understanding the distribution, determinants and dynamics of disease within populations. Fundamental to public health, these methods range ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
Jessica L. Burris, Jessica N. Rivera-Rivera, Kent Armeson, Jane Zapka, Anthony J. Alberg, Terry A. Day, Katherine R. Sterba https://www.jstor.org/stable/48705003 Copy ...
This post from the Human Flourishing Program at Harvard on methodology for flourishing is a bit more technical than others. Nonetheless, it seemed worthwhile to share a concise, synthetic account of ...
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