BMJ Open

Social support and multifactorial predictors of perinatal depression: insights from a hospital-based cross-sectional survey in Karachi, Pakistan

Objectives This study aimed to estimate the frequency of depression in mothers during the antepartum and postpartum periods ...
GitHub

multinomial-logistic-regression

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 ...
IEEE

Sub-1 GHz Indoor RSSI-Based Localization: An Experimental Evaluation of Trilateration, Multilateration, and Machine Learning Fingerprinting Methods

Abstract: As wireless radiofrequency-based localization techniques continue to attract interest, a plethora of approaches including received signal strength indicator (RSSI) trilateration and ...
IEEE

Improving Parkinson's Disease Prediction Accuracy: A Comparative Analysis of Logistic Regression and Decision Tree Models

Abstract: This study aims to determine the effectiveness of predicting Parkinson's Disease and to evaluate the accuracy of different predictive models. Specifically, it compares the performance of ...
eLife

Inferring variant-specific effective reproduction numbers from combined case and sequencing data

Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, United States Department of Applied Mathematics, University of Washington, Seattle, United States Howard ...
Frontiers

Sliding down the socioeconomic health gradient of COVID-19 in New York City: multinomial regression analyses of disproportionate financial hardship for Black, Latino, and Asian ...

Background: Distinct socioeconomic gradients in COVID-19 outcomes were observed across the United States, so an evaluation of individual resident characteristics related to economic deprivation (race ...