Imagen de Portada

Towards Causal Interpretation of Sexual Orientation in Regression Analysis: Applications and Challenges

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lu, Junjie, Guo, Zhongyi, Rehkopf, David H.
Formato:	Preprint
Publicado:	2024
Materias:	Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Exploring Causal Mediation Analysis in Bacterial Vaginosis Challenges
por: Nandi, Debarghya, et al.
Publicado: (2025)

Bayesian Perspective for Orientation Determination in Cryo-EM with Application to Structural Heterogeneity Analysis
por: Xu, Sheng, et al.
Publicado: (2024)

Gimbal Regression: Orientation-Adaptive Local Linear Regression under Spatial Heterogeneity
por: Otani, Yuichiro
Publicado: (2026)

Potential for allocative harm in an environmental justice data tool
por: Huynh, Benjamin Q., et al.
Publicado: (2023)

Trustworthy AI/ML Regression and Unbiased Causal Inference for Real-World Data
por: Xu, Yifei, et al.
Publicado: (2026)

A Novel Two-stage Deming Regression Framework with Applications to Association Analysis between Clinical Risks
por: Duan, Yajie, et al.
Publicado: (2024)

A Practical Introduction to Regression-based Causal Inference in Meteorology (II): Unmeasured confounders
por: Marzban, Caren, et al.
Publicado: (2025)

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
por: Goplerud, Max, et al.
Publicado: (2022)

A Practical Introduction to Regression-based Causal Inference in Meteorology (I): All confounders measured
por: Marzban, Caren, et al.
Publicado: (2025)

A Bayesian Model of Underreporting for Sexual Assault on College Campuses
por: Bradshaw, Casey, et al.
Publicado: (2024)

Estimation of Piecewise Continuous Regression Function in Finite Dimension using Oblique Regression Tree with Applications in Image Denoising
por: Basak, Subhasish, et al.
Publicado: (2025)

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
por: Arpogaus, Marcel, et al.
Publicado: (2025)

Diagnostics for Regression Models with Semicontinuous Outcomes
por: Yang, Lu
Publicado: (2024)

Bayesian Regression Analysis with the Drift-Diffusion Model
por: Jin, Zekai, et al.
Publicado: (2025)

On the Mechanistic Interpretability of Neural Networks for Causality in Bio-statistics
por: Conan, Jean-Baptiste A.
Publicado: (2025)

Regularization and Model Selection for Ordinal-on-Ordinal Regression with Applications to Food Products' Testing and Survey Data
por: Hoshiyar, Aisouda, et al.
Publicado: (2023)

Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
por: Bo, Na, et al.
Publicado: (2024)

Genetic Algorithms in Regression
por: Li, Mo, et al.
Publicado: (2026)

Sparse Reduced-rank Regression Methods for Spatially Misaligned Data with Application to Spatial Transcriptomics
por: Wu, Zitian, et al.
Publicado: (2026)

Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes
por: Yang, Lu
Publicado: (2023)

Gradient-Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts
por: Jobst, David
Publicado: (2024)

Regime Identification for Improving Causal Analysis in Non-stationary Timeseries
por: Ahmad, Wasim, et al.
Publicado: (2024)

Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
por: Lin, Ziqian, et al.
Publicado: (2024)

Multilevel Regression and Poststratification Interface: An Application to Track Community-level COVID-19 Viral Transmission
por: Si, Yajuan, et al.
Publicado: (2024)

Tractable Ridge Regression for Paired Comparisons
por: Varin, Cristiano, et al.
Publicado: (2024)

Typhoon Path Prediction Using Functional Data Analysis and Clustering-Based Regression
por: Kim, Jimin
Publicado: (2025)

Causal Fairness Analysis of ADHD Status and High School STEM Outcomes
por: Ai, Shuhan
Publicado: (2026)

Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics
por: Maier, Eva-Maria, et al.
Publicado: (2021)

Poisson-response Tensor-on-Tensor Regression and Applications
por: Llosa-Vite, Carlos, et al.
Publicado: (2026)

Genetic Regression Analysis of Human Brain Connectivity Using an Efficient Estimator of Genetic Covariance
por: Motwani, Keshav, et al.
Publicado: (2025)

Scalable Ultra-High-Dimensional Quantile Regression with Genomic Applications
por: Wu, Hanqing, et al.
Publicado: (2026)

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
por: Dey, Pritam, et al.
Publicado: (2026)

A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
por: Shen, Andy A., et al.
Publicado: (2024)

Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles
por: Hoekstra, Cas Oude, et al.
Publicado: (2025)

Causal inference with dyadic data in randomized experiments
por: Li, Yilin, et al.
Publicado: (2025)

Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
por: Bae, Woojung, et al.
Publicado: (2026)

Quantile Regression Tree
por: Okafor, Jaachinma, et al.
Publicado: (2024)

Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
por: Mulgrave, Jami J., et al.
Publicado: (2020)

Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data
por: Jin, Bora, et al.
Publicado: (2022)

Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
por: Antonelli, Joseph, et al.
Publicado: (2024)