Missing data imputation is a critical process in data analysis, enabling researchers to infer plausible values for absent observations. Over recent decades, a variety of methods have emerged, ranging ...
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Economists warn missing data could skew the hot inflation report
Investors, voters and the White House are all celebrating a sharp slowdown in inflation, but a crucial caveat is hiding in the fine print: the government's own statisticians say the latest numbers are ...
At every stage of the Covid-19 pandemic, national reporting of racial and ethnic disparities in Covid-19 testing, diagnosis, disease severity, treatment, and vaccination by clinicians, public health ...
Interview on Ontada research presented at ISPOR 2024. Increased variety of real-world data (RWD) sources can give scientists a richer picture than ever of what’s happening to patients. But for every ...
There are data about practically everything these days, and they can be used to try to answer any number of questions. Do clinical trials really show a drug works? Can surveys really signal who’s ...
Most companies track bill rates, but few understand the hidden markup forces driving cost overruns, turnover, and supplier performance risk. Finish the year with a clearer view of the freight ...
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