Latest Articles for Covariates

Research shows how math can improve predictions for multiple myeloma treatment outcomes.

New method improves estimation of causal effects in economics.

Synthetic data aids survival analysis by generating realistic datasets for better modeling.

A new approach to improve decisions under uncertainty with covariate shifts.

GENTLE advances machine learning by effectively learning conditional distributions from limited data.

A novel approach to analyze the interplay of network data and covariates.

This article explores a new approach to assess treatment impact considering changing factors.

Examining how latent Gaussian models improve data analysis in public health and migration.

A novel approach to study time series data and its factors in healthcare.

Analyzing how individual traits affect medication responses through statistical methods.

Examining the challenges of interpreting linear regression models in machine learning.

A new method improves balance and reliability in randomized controlled trials.

This paper discusses methods to optimize experimental design for better efficiency and outcomes.

A method to simplify regression model selection amidst uncertainty.

MultiCOAP improves analysis of count data from multiple studies, addressing complexity and overdispersion.

A new model addresses challenges in ranking with changing data.

Examining how added variables influence statistical significance in research findings.

A look at how aliasing affects observational research and its findings.

New methods enhance understanding of cancer treatment outcomes and missing data.

COBRA enhances single-cell data interpretation through clear separation of influences.

cosimmr improves the study of animal diets with fast and insightful analyses.

This study assesses the impact of social connections on individual outcomes.

A fresh approach enhances understanding of survival times and patient outcomes.

Cure rate models help analyze events over time, impacting fields like medicine and social science.

Insights into how patient factors affect drug responses.

Learn how the Proxy Pattern-Mixture Model addresses missing survey data.

New modeling methods enhance understanding of neuronal activity and external factors.

Joint models combine various responses for clearer insights in research.

This article discusses how covariates affect ROC curves and presents a new testing method.

Explore linear regression and how covariate dependency impacts predictions.

Learn how spatial statistics improves disease spread predictions using geostatistical models.

Using machine learning to enhance nitrogen removal in wastewater treatment plants.

Introducing a method to tackle endogeneity in statistical analysis efficiently.

Explore how connections form in diverse networks through covariates and hidden factors.