If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...

This project explores the determinants of inflation prediction errors using data from the Survey of Consumer Expectations (SCE) from 2013 to 2023 and monthly National and yearly State-level PCE. The ...

Abstract: Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in settings ...

Coursework, Stata code, and notes for PBHS 32700: Biostatistical Methods (Spring 2024, University of Chicago). Topics include contingency tables, logistic regression, Poisson and negative binomial ...

When Donald Trump stormed into the White House in 2016, horrified Americans debated, almost endlessly, whether the shocking result was an expression of widespread racism (backlash to a Black president ...

ABSTRACT: The COVID-19 pandemic has profoundly impacted global health, with far-reaching consequences beyond respiratory complications. Increasing evidence highlights the link between COVID-19 and ...

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.

Objective To evaluate if postnatal treatment with betamethasone in extremely preterm infants was associated with neurodevelopmental impairment (NDI) at 6.5 years of age. Design Prospective cohort ...

Introduction: Health literacy levels (HLL) in adults with chronic diseases correlate with health outcomes, especially in acquired cardiovascular disease. Data demonstrates that lower HLL correlate ...