Search Results - "MULTIPLE IMPUTATION"

Recovery of overall survival information from treatment switching in oncology trials using multiple imputation.

Authors: Xu, Jianbo¹ (AUTHOR) jxustat@yahoo.com

Source: Journal of Biopharmaceutical Statistics. Nov2025, p1-26. 26p.

Subject Terms: OVERALL survival, MULTIPLE imputation (Statistics), CROSSOVER trials, STATISTICAL power analysis, CANCER research, EXPERIMENTAL design, SURVIVAL rate, CONTROL groups

Missing Data Handling via EM and Multiple Imputation in Network Analysis using Glasso and Atan Regularization.

Authors: Nehler, Kai Jannik Schultze, Martin

Source: Multivariate Behavioral Research. Sep/Oct2025, Vol. 60 Issue 5, p990-1012. 23p.

Subject Terms: *DATA analysis, MISSING data (Statistics), MULTIPLE imputation (Statistics), MATHEMATICAL regularization, EXPECTATION-maximization algorithms, STATISTICAL models

Estimating average treatment effect using multiple imputation for handling confounder missingness.

Authors: Bagmar, Md. Shaddam Hossain Shen, Hua

Source: Communications in Statistics: Simulation & Computation. Jul2025, p1-14. 14p. 1 Illustration.

Subject Terms: *SIMULATION methods & models, *QUANTITATIVE research, MULTIPLE imputation (Statistics), CAUSAL inference, CONFOUNDING variables, SCIENTIFIC observation

Enhancing Credit Risk Management Through Integration of Multiple Imputation Methodology and Long‐Term Survival Modelling.

Authors: Majakwara, Jacob Mthisi, Patrick L. Chipoyera, Honest W.

Source: Applied Stochastic Models in Business & Industry. Jul/Aug2025, Vol. 41 Issue 4, p1-16. 16p.

Subject Terms: *CREDIT risk management, *STATISTICS, MULTIPLE imputation (Statistics), GAMMA distributions, STATISTICAL models, FAILURE time data analysis

A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation.

Authors: Chase, Elizabeth C. Boonstra, Philip S. Taylor, Jeremy M. G.

Source: American Statistician. Aug2025, Vol. 79 Issue 3, p291-301. 11p.

Subject Terms: *PROBABILITY theory, *ANALYSIS of variance, MULTIPLE imputation (Statistics), COMPETING risks, DISEASE incidence, MINIMUM variance estimation

External Comparator Studies: Performance of Four Missing Data-Handling Approaches, Stratified by Four Different Marginal Estimators.

Authors: Rippin, Gerd Sanz, Héctor Hoogendoorn, Wilhelmina E. et al.

Source: Drug Safety. Dec2025, Vol. 48 Issue 12, p1413-1424. 12p.

Subject Terms: *MISSING data (Statistics), *MULTIPLE imputation (Statistics), *STATISTICS, *EMPIRICAL research, *MEDICAL care research, *SIMULATION methods & models, *ESTIMATION bias, *PROPENSITY score matching

A Bayesian Two‐Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data.

Authors: Wei, Yiheng Siddique, Juned Spring, Bonnie et al.

Source: Statistics in Medicine. Nov2025, Vol. 44 Issue 25-27, p1-21. 21p.

Subject Terms: *MULTIPLE imputation (Statistics), *MISSING data (Statistics), *RANDOM effects model, *BAYESIAN analysis, *ECOLOGICAL momentary assessments (Clinical psychology), *MULTILEVEL models, *LONGITUDINAL method, *STATISTICS

Sensitivity Analyses for Missing in Repeatedly Measured Outcome Data.

Authors: Troendle, James F. Sur, Aparajita Leifer, Eric S. et al.

Source: Statistics in Medicine. Oct2025, Vol. 44 Issue 23/24, p1-9. 9p.

Subject Terms: *MISSING data (Statistics), *MULTIPLE imputation (Statistics), *LONGITUDINAL method, *SENSITIVITY analysis, *MULTILEVEL models, *CLINICAL trials, *INDEPENDENT variables

A data efficient framework for analyzing structural transformation in low and middle income economies.

Authors: Katende, Ronald¹ (AUTHOR) rkatende@kab.ac.ug

Source: Scientific Reports. 10/1/2025, Vol. 15 Issue 1, p1-24. 24p.

Subject Terms: *ECONOMIC development, *MULTIPLE imputation (Statistics), *LOW-income countries, *ECONOMIC statistics, *HIERARCHICAL Bayes model, *FACTOR analysis, *MISSING data (Statistics)

Geographic Terms: KENYA, GHANA, NIGERIA

Company/Entity: WORLD Bank

A multiple imputation method using population information.

Authors: Fushiki, Tadayoshi¹ (AUTHOR) fushiki@ed.niigata-u.ac.jp

Source: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 12, p3476-3493. 18p.

Subject Terms: MISSING data (Statistics), MULTIPLE imputation (Statistics), CALIBRATION

Estimation of Population Mean Using Some Improved Imputation Methods for Missing Data in Sample Surveys.

Authors: Pandey, M. K. Singh, G. N. Zaman, Togla

Source: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 8, p2378-2392. 15p.

Subject Terms: MISSING data (Statistics), MULTIPLE imputation (Statistics)

Inference with Imputed Data: The Allure of Making Stuff Up.

Authors: Manski, Charles F.¹ (AUTHOR)

Source: Journal of Labor Economics. 2025 Supplement 1, Vol. 43, pS333-S350. 18p.

Subject Terms: *PARAMETER estimation, *EMPIRICAL research, *DATA analysis, MISSING data (Statistics), MULTIPLE imputation (Statistics), STATISTICAL models, CONDITIONAL expectations

People: RUBIN, Andrew E., 1965-

LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction.

Authors: Hossain, Md. Belal Sadatsafavi, Mohsen Johnston, James C. et al.

Source: American Statistician. Jun2025, p1-12. 12p. 3 Illustrations.

Subject Terms: *MATHEMATICAL statistics, SURVIVAL analysis (Biometry), MULTIPLE imputation (Statistics), PREDICTION models, REGULARIZATION parameter, REPRODUCIBLE research, MORTALITY

Missing Value Imputation in Relational Data Using Variational Inference.

Authors: Fontaine, Simon Kang, Jian Zhu, Ji

Source: Journal of Computational & Graphical Statistics. May2025, p1-12. 12p. 4 Illustrations.

Subject Terms: *RELATIONAL databases, MULTIPLE imputation (Statistics), STATISTICAL models, NUMERICAL analysis, INFERENTIAL statistics

Joint dimensionality reduction and clustering with missing data

Authors: Agliz, Yasmine Audigier, Vincent Niang, Ndèye et al.

Contributors: Agliz, Yasmine Audigier, Vincent Niang, Ndèye et al.

Source: 2025 International Conference on Advanced Machine Learning and Data Science (AMLDS). :163-168

Subject Terms: Subspace clustering, Missing data, Multiple imputation, Multiple Factor Analysis, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [MATH] Mathematics [math]

File Description: application/pdf

Access URL: https://hal.science/hal-05047384v1

A two-stage joint model approach to handle incomplete time dependent markers in survival data through inverse probability weight and multiple imputation.

Authors: Vishwakarma, Gajendra K. Bhattacharjee, Atanu Rajbongshi, Bhrigu Kumar

Source: Scientific Reports. 9/30/2025, Vol. 15 Issue 1, p1-17. 17p.

Subject Terms: *SURVIVAL analysis (Biometry), *MULTIPLE imputation (Statistics), *PROPORTIONAL hazards models, *MISSING data (Statistics), *STATISTICAL weighting, *BIOMARKERS, *LONGITUDINAL method, *MULTILEVEL models

Handling missing outcomes in time-to-event analyses in randomised controlled trials: a scoping review with a focus on multiple imputation.

Authors: Karuppasamy, Saravanaraj Premkumar, Prasanna Samuel Mohan, Venkata Raghava

Source: BMC Medical Research Methodology. 9/29/2025, Vol. 25 Issue 1, p1-12. 12p.

Subject Terms: *MULTIPLE imputation (Statistics), *MISSING data (Statistics), *MATHEMATICAL statistics, *RANDOMIZED controlled trials, *CENSORING (Statistics), *SURVIVAL analysis (Biometry)

Estimating the Root Mean Square Error of Approximation (RMSEA) with Multiply Imputed Data Under Non-Normality.

Authors: Yin, Yunhang Fairchild, Amanda J. Shi, Dexin et al.

Source: Structural Equation Modeling. Sep/Oct2025, Vol. 32 Issue 5, p832-857. 26p.

Subject Terms: *MULTIPLE imputation (Statistics), *MISSING data (Statistics), *APPROXIMATION error, *KURTOSIS, *STRUCTURAL equation modeling, *CONFIDENCE intervals, *STANDARD deviations

A Systematic Survey of the Optimal Strategy for Dealing With Missing Binary Outcomes in Simulation Studies of Randomized Controlled Trials.

Authors: Shen, Yanjiao Sameer, Parpia Xia, Xin et al.

Source: Journal of Evidence-Based Medicine. Sep2025, Vol. 18 Issue 3, p1-9. 9p.

Subject Terms: *MULTIPLE imputation (Statistics), *RANDOMIZED controlled trials, *MISSING data (Statistics), *STATISTICS, *SIMULATION methods & models

Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets.

Authors: Varol, Bugra Omurlu, Imran Kurt Ture, Mevlut

Source: WIREs: Computational Statistics. Sep2025, Vol. 17 Issue 3, p1-29. 29p.

Subject Terms: *MISSING data (Statistics), *MULTIPLE imputation (Statistics), *SIMULATION methods & models, *DATA analysis, *STATISTICAL models