Cover Image

Data (in)equities in data science: Dissecting systemic and systematic biases in pulse oximetry

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rountree, Lillian, Parikh, Harsh, Mukherjee, Bhramar
Format:	Preprint
Published:	2026
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Enhancing Data Equity in Public Health Data Science
by: Wang, Yiran, et al.
Published: (2025)

Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)

A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
by: Du, Jiacong, et al.
Published: (2024)

Prediction-based Inference in Electronic Health Record (EHR)-linked Biobanks with Clinically Informative Outcomes
by: Chen, Xingran, et al.
Published: (2026)

When Does Agroforestry Income Reduce Deforestation? Evidence from a Natural Experiment in Madagascar
by: DeSisto, Camille, et al.
Published: (2026)

Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration
by: Brantner, Carly L., et al.
Published: (2025)

A Tutorial on Implementing Statistical Methods for Estimating Excess Death With a Case Study and Simulations on Estimating Excess Death in the Post‐ COVID ‐19 United States
by: Lillian Rountree, et al.
Published: (2026)

Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics
by: Bartoš, František, et al.
Published: (2022)

Movement of insurgent gangs: A Bayesian kernel density model for incomplete temporal data
by: Sriram, Karthik, et al.
Published: (2024)

Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population
by: Parikh, Harsh, et al.
Published: (2024)

A Tutorial on Conducting Mediation Analysis with Exposure Mixtures
by: Wang, Yiran, et al.
Published: (2025)

Exact matching as an alternative to propensity score matching
by: Glimm, Ekkehard, et al.
Published: (2025)

Correcting inferences for volunteer-collected data with geospatial sampling bias
by: Lugtig, Peter, et al.
Published: (2022)

Monitoring of Drift Patterns in Image Data
by: Basak, Subhasish, et al.
Published: (2025)

Priming bias versus post-treatment bias in experimental designs
by: Blackwell, Matthew, et al.
Published: (2023)

Safe and Interpretable Estimation of Optimal Treatment Regimes
by: Parikh, Harsh, et al.
Published: (2023)

Using large language models to produce literature reviews: Usages and systematic biases of microphysics parametrizations in 2699 publications
by: Zhang, Tianhang, et al.
Published: (2025)

Understanding algorithmic fairness for clinical prediction in terms of subgroup net benefit and health equity
by: Benitez-Aurioles, Jose, et al.
Published: (2024)

Causal inference and racial bias in policing: New estimands and the importance of mobility data
by: Huang, Zhuochao, et al.
Published: (2024)

Leveraging Synthetic and Genetic Data to Improve Epidemic Forecasting
by: Osthus, Dave, et al.
Published: (2026)

Agent based decision making for Integrated Air Defense system
by: Das, Sumanta Kumar, et al.
Published: (2019)

Estimating Software Reliability Using Size-biased Modelling
by: Dey, Soumen, et al.
Published: (2022)

Detecting the effect of intensive agriculture on Odonata diversity using citizen science data
by: Renaud Baeta, et al.
Published: (2024)

Empirical parameterization of the Elo Rating System
by: Maitra, Shirsa, et al.
Published: (2025)

Extreme-value modelling of migratory bird arrival dates: Insights from citizen science data
by: Koh, Jonathan, et al.
Published: (2023)

Causal Analysis of Health, Education, and Economic Well-Being in India -- Evidence from the Young Lives Survey
by: De, Anushka, et al.
Published: (2025)

Adjusting for publication bias in meta-analysis with continuous outcomes: a comparative study
by: Almalik, Osama
Published: (2024)

An Efficient Image Denoising Method Integrating Multi-resolution Local Clustering and Adaptive Smoothing
by: Basak, Subhasish, et al.
Published: (2024)

Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
by: Janssen, Joseph, et al.
Published: (2023)

Statistical modeling of breast cancer radiomic features and hazard using image registration-aided longitudinal CT data
by: Mukherjee, Subrata, et al.
Published: (2026)

Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
by: Mukherjee, Anish, et al.
Published: (2024)

Link prediction in ecological networks under extreme taxonomic bias
by: Kampe, Jennifer N., et al.
Published: (2025)

Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study
by: Tan, Yaoyuan Vincent, et al.
Published: (2018)

An Augmented Rating System for Test cricket: adapting Glicko's model
by: Bandyopadhyay, Rhitankar, et al.
Published: (2026)

Cluster-Based Bayesian SIRD Modeling of Chickenpox Epidemiology in India
by: Mukherjee, Nayana, et al.
Published: (2026)

Erratum for “Evaluating sources of bias in pedigree‐based estimates of breeding population size”
Published: (2026)

Testing for racial bias using inconsistent perceptions of race
by: Gera, Nora, et al.
Published: (2024)

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023)

Assessing the impact of bias correction approaches on climate extremes and the climate change signal
by: Hong Zhang, et al.
Published: (2024)

Introducing shrinkage in heavy-tailed state space models to predict equity excess returns
by: Huber, Florian, et al.
Published: (2018)