Cover Image

Mapping Multivariate Phenotypes in the Presence of Missing Observations for Family-Based Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sahu, Soumya, Ghosh, Saurabh
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Linear Relationship between Correlation and Cohen's Kappa for Binary Data and Simulating Multivariate Nominal and Ordinal Data with Specified Kappa Matrix
by: Sahu, Soumya, et al.
Published: (2024)

Marginal Analysis of Count Time Series in the Presence of Missing Observations
by: Nik, Simon
Published: (2024)

A Componentwise Estimation Procedure for Multivariate Location and Scatter: Robustness, Efficiency and Scalability
by: Chakraborty, Soumya, et al.
Published: (2024)

MMD Two-sample Testing in the Presence of Arbitrarily Missing Data
by: Zeng, Yijin, et al.
Published: (2024)

Exact Bounds of Spearman's footrule in the Presence of Missing Data with Applications to Independence Testing
by: Zeng, Yijin, et al.
Published: (2025)

Recoverability of Causal Effects under Presence of Missing Data: a Longitudinal Case Study
by: Holovchak, Anastasiia, et al.
Published: (2024)

Estimating Extreme Wave Surges in the Presence of Missing Data
by: McVittie, James H., et al.
Published: (2025)

Weighted Parameter Estimators of the Generalized Extreme Value Distribution in the Presence of Missing Observations
by: McVittie, James H., et al.
Published: (2025)

Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
by: Danka, Martin N., et al.
Published: (2026)

Nonparametric Estimation of Path-specific Effects in Presence of Nonignorable Missing Covariates
by: Shan, Jiawei, et al.
Published: (2024)

Fiducial Confidence Intervals for Agreement Measures Among Raters Under a Generalized Linear Mixed Effects Model
by: Sahu, Soumya, et al.
Published: (2025)

Constructing a T-test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
by: Lu, Minxin, et al.
Published: (2023)

Fiducial Inference for Random-Effects Calibration Models: Advancing Reliable Quantification in Environmental Analytical Chemistry
by: Sahu, Soumya, et al.
Published: (2025)

Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections
by: Ward, Caitlin, et al.
Published: (2025)

Prior Smoothing for Multivariate Disease Mapping Models
by: Retegui, Garazi, et al.
Published: (2026)

Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
by: Ghosh, Joyee, et al.
Published: (2025)

Causal Meta-Analysis by Integrating Multiple Observational Studies with Multivariate Outcomes
by: Guha, Subharup, et al.
Published: (2023)

Imputing Missing Values with External Data
by: Thiesmeier, Robert, et al.
Published: (2024)

Statistical Inference for High-dimensional Matrix-variate Factor Models with Missing Observations
by: Zhang, Yongxia, et al.
Published: (2025)

Zero-inflation in the Multivariate Poisson Lognormal Family
by: Batardière, Bastien, et al.
Published: (2024)

Derivative Estimation of Multivariate Functional Data
by: Zhu, Yueyun, et al.
Published: (2024)

Calibrated Multivariate Regression with Localized PIT Mappings
by: Kock, Lucas, et al.
Published: (2024)

Estimation of Semiparametric Factor Models with Missing Data
by: Zheng, Sijie
Published: (2025)

Balancing Weights for Non-monotone Missing Data
by: Dong, Jianing, et al.
Published: (2024)

A Novel Strategy for Detecting Multiple Mediators in High-Dimensional Mediation Models
by: Yen, Pei-Shan, et al.
Published: (2025)

Weighting-Based Identification and Estimation in Graphical Models of Missing Data
by: Guo, Anna, et al.
Published: (2026)

A Multivariate Equivalence Test Based on Mahalanobis Distance with a Data-Driven Margin
by: Wang, Chao, et al.
Published: (2024)

Multivariate Zero-Inflated Causal Model for Regional Mobility Restriction Effects on Consumer Spending
by: Hong, Taekwon, et al.
Published: (2025)

Spatial Confounding in Multivariate Areal Data Analysis
by: Wu, Kyle Lin, et al.
Published: (2025)

Clustered Factor Analysis for Multivariate Spatial Data
by: Jin, Yanxiu, et al.
Published: (2024)

Hidden Markov Models for Multivariate Panel Data
by: Neal, Mackenzie R., et al.
Published: (2024)

Testing the Missing Completely at Random Assumption for Functional Data
by: Ofner, Maximilian, et al.
Published: (2025)

Score Matching With Missing Data
by: Givens, Josh, et al.
Published: (2025)

Monotone Missing Data: A Blessing and a Curse
by: Tikka, Santtu, et al.
Published: (2024)

A Note on Ising Network Analysis with Missing Data
by: Zhang, Siliang, et al.
Published: (2023)

Model Uncertainty and Missing Data: An Objective Bayesian Perspective
by: García-Donato, Gonzalo, et al.
Published: (2024)

Adaptive Learning with Blockwise Missing and Semi-Supervised Data
by: Li, Yiming, et al.
Published: (2024)

Health Prognostics in Multi-sensor Systems Based on Multivariate Functional Data Analysis
by: Yildirim, Cevahir, et al.
Published: (2025)

ROC Curves for Spatial Point Patterns and Presence-Absence Data
by: Baddeley, Adrian, et al.
Published: (2025)

Causal Secondary Analysis of Linked Data in the Presence of Mismatch Error
by: Slawski, Martin
Published: (2025)