Cross-Validation: What Does It Estimate and How Well Does It Do It?

Journal of the American Statistical Association · 2023 · 368 citations

• Computer Science
• Statistics
• Computer Science

re-fit the model on the combined data, since this invalidates the confidence intervals.

An open repository of real-time COVID-19 indicators

Proceedings of the National Academy of Sciences · 2021 · 71 citations

• Computer Science
• Internet privacy
• Data science

The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from deidentified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data are available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making.

Defining the features and duration of antibody responses to SARS-CoV-2 infection associated with disease severity and outcome

Science Immunology · 2020 · 506 citations

• Immunology
• Medicine
• Virology

SARS-CoV-2-specific antibodies, particularly those preventing viral spike receptor binding domain (RBD) interaction with host angiotensin-converting enzyme 2 (ACE2) receptor, can neutralize the virus. It is, however, unknown which features of the serological response may affect clinical outcomes of COVID-19 patients. We analyzed 983 longitudinal plasma samples from 79 hospitalized COVID-19 patients and 175 SARS-CoV-2-infected outpatients and asymptomatic individuals. Within this cohort, 25 patients died of their illness. Higher ratios of IgG antibodies targeting S1 or RBD domains of spike compared to nucleocapsid antigen were seen in outpatients who had mild illness versus severely ill patients. Plasma antibody increases correlated with decreases in viral RNAemia, but antibody responses in acute illness were insufficient to predict inpatient outcomes. Pseudovirus neutralization assays and a scalable ELISA measuring antibodies blocking RBD-ACE2 interaction were well correlated with patient IgG titers to RBD. Outpatient and asymptomatic individuals' SARS-CoV-2 antibodies, including IgG, progressively decreased during observation up to five months post-infection.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2nd Edition

2020 · 232 citations

• Computer Science
• Artificial Intelligence
• Computer Science

https://stars.library.ucf.edu/etextbooks/1452/thumbnail.jpg

Integrating genomic features for non-invasive early lung cancer detection

Nature · 2020 · 677 citations

• Oncology
• Internal medicine
• Medicine

Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise

Cell · 2020 · 286 citations

• Biology
• Bioinformatics
• Medicine