JSTOR Daily

Multiple Imputation of Missing Data at Level 2: A Comparison of Fully Conditional and Joint Modeling in Multilevel Designs

Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as ...
Booth School of Business

A Better Way for Finance (and Others) to Handle Missing Data

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 ...
STAT

Death by missing data: Uncollected racial and ethnic pandemic data will drive inequities for decades to come

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 ...
CU Boulder News & Events

Data Analytics Best Practices: Best Machine Learning Model for Sparse Data

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...
Geeky Gadgets

Using Excel PowerPivot for data modeling in spreadsheets

If your are wondering how to handle large datasets and complex calculations in your spreadsheets. This is where MS Excel PowerPivot comes into play. PowerPivot is an advanced feature in Excel that ...
News4Jax

Missing data in Florida vaccine report raises transparency concerns amid debate over mandates

FLORIDA – Missing data in a key state health report raised new questions about transparency from the Florida Department of Health. The Vaccine Preventable Disease Report, published monthly on the ...