Recent papers on Data Generalizability and Bias

Sorted by publication year (newest first) via OpenAlex. List regenerates every 24h.

1. HTA83 Enhancing Health Technology Assessment With Data Transportability Analyses: Addressing Bias and Generalizability Challenges In Non-Local Real-World Evidence

   2025 · Value in Health · Gupta, Alind, Shephard, Cal, Ting, Eon et al.

   2025

2. Data Integration With Biased Summary Data via Generalized Entropy Balancing

   2025 · Iowa State University Digital Repository (Iowa State University) · Morikawa, Kosuke, Komukai, Sho, Hattori, Satoshi

   2025

3. Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ

   2025 · Kaden, Marika, Engelsberger, Alexander, Schubert, Ronny et al.

   2025

4. geessbin: an R package for analyzing small-sample binary data using modified generalized estimating equations with bias-adjusted covariance estimators

   2024 · BMC Medical Research Methodology · Ishii, Ryota, Ohigashi, Tomohiro, Maruo, Kazushi et al.

   2024

5. A bias-reduced generalized estimating equation approach for proportional odds models with small-sample longitudinal ordinal data

   2024 · BMC Medical Research Methodology · Tada, Yukio, Sato, Tosiya

   2024

6. Detection of Latent Gender Biases in Data and Models Using the Approximate Generalized Inverse Method

   2024 · Nakanishi, Takafumi

   2024

7. Inconsistency in UK Biobank Event Definitions From Different Data Sources and Its Impact on Bias and Generalizability: A Case Study of Venous Thromboembolism

   2023 · American Journal of Epidemiology · Bassett, Emily, Broadbent, James C., Gill, Dipender et al.

   2023

8. Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data

   2023 · Journal of Applied Statistics · Xue, Liugen, Xie, Junshan, Yang, Xiaohui

   2023

9. A systematic review of data sources for artificial intelligence applications in pediatric brain tumors in Europe: implications for bias and generalizability

   2023 · Frontiers in Oncology · Tozzi, Alberto Eugenio, Croci, Ileana, Voicu, Paul et al.

   2023

10. Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory

    2023 · Journal of the American Medical Informatics Association · Boyd, Andrew D., González‐Guarda, Rosa M., Lawrence, Katharine et al.

    2023

11. A comparison of bias‐adjusted generalized estimating equations for sparse binary data in small‐sample longitudinal studies

    2023 · Statistics in Medicine · Gosho, Masahiko, Ishii, Ryota, Noma, Hisashi et al.

    2023

12. Concepts of Point estimators for the Stress-Strength Reliability R=P(X>Y) using the Generalized Length Biased Maxwell Distribution and Data obtained through Ranked Set Sampling

    2022 · Journal of Statistics Applications & Probability Letters

    2022

13. Efficient Representation to Dynamic QoS Data via Generalized Nesterov’s Accelerated Gradient-incorporated Biased Non-negative Latent Factorization of Tensors

    2021 · 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) · Chen, Minzhi, Luo, Xin

    2021

14. Generalized Linear Models for Longitudinal Data with Biased Sampling Designs: A Sequential Offsetted Regressions Approach

    2020 · arXiv (Cornell University) · McDaniel, Lee S., Schildcrout, Jonathan S., Schisterman, Enrique F. et al.

    2020

15. Biases with the Generalized Euclidean Distance measure in disparity analyses with high levels of missing data

    2019 · Palaeontology · Lehmann, Oscar E. R., Ezcurra, Martín D., Butler, Richard J. et al.

    2019

16. Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification

    2019 · Lecture notes in computer science · Yoon, Chris J. M., Hamarneh, Ghassan, Garbi, Rafeef

    2019

17. Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data

    2018 · Industrial Marketing Management · Ullah, Subhan, Akhtar, Pervaiz, Zaefarian, Ghasem

    2018

18. The Generalized Empirical Likelihood estimator with grouped data : bias correction in Linked Employer-Employee models

    2018 · Research Portal (King's College London) · Lincoln, James

    2018

19. BCgee: Bias-Corrected Estimates for Generalized Linear Models for Dependent Data

    2017 · <[email protected]>, Nicola Lunardon <[email protected]>, Daniel Scharfstein

    2017

20. Quasi-Bayesian Inference for Latent Variable Models with External Information: Application to generalized linear mixed models for biased data

    2017 · RePEc: Research Papers in Economics · Hoshino, Takahiro, Igari, Ryosuke

    2017

21. Multiplicative bias correction for generalized Birnbaum–Saunders kernel density estimators and application to nonnegative heavy tailed data

    2015 · Journal of the Korean Statistical Society · Zougab, Nabil, Adjabi, Smaïl

    2015

22. Correction of Retransformation Bias in Nonlinear Predictions on Longitudinal Data with Generalized Linear Mixed Models

    2015 · Journal of Biometrics & Biostatistics · Freed, Liu X

    2015

23. Application of generalized estimating equations and linear mixed effects models to analysis of correlated data in the field of publication bias in the reporting of randomized clinical trials

    2015 · Oxford University Research Archive (ORA) (University of Oxford) · Burrett, Julie Ann, Lunn, Daniel

    2015

24. Generalized Linear Mixed Models for Binary Data: Are Matching Results from Penalized Quasi-Likelihood and Numerical Integration Less Biased?

    2014 · PLoS ONE · Benedetti, Andrea, Platt, Robert W., Atherton, Juli

    2014

25. Comments on ‘The use of propensity scores and observational data to estimate randomized controlled trial generalizability bias’ by Taylor R. Pressler and Eloise E. Kaizar,<i>Statistics in Medicine 2013</i>

    2014 · Statistics in Medicine · Schmidt, Amand F., Hoes, Arno W., Groenwold, Rolf H. H.

    2014

26. Response to comments on ‘The use of propensity scores and observational data to estimate randomized controlled trial generalizability bias’

    2014 · Statistics in Medicine · Kaizar, Eloise, Vydra, Taylor Pressler

    2014

27. Outperformance in exchange-traded fund pricing deviations: Generalized control of data snooping bias

    2013 · Journal of Financial Markets · Kearney, Fearghal, Cummins, Mark, Murphy, Finbarr

    2013

28. The use of propensity scores and observational data to estimate randomized controlled trial generalizability bias

    2013 · Statistics in Medicine · Pressler, Taylor R., Kaizar, Eloise

    2013

29. Nonparametric regression with right-censored and generalized selection biased data

    2012 · Open Repository and Bibliography (University of Liège) · Heuchenne, Cédric, Laurent, Géraldine

    2012

30. Bias corrected generalized method of moments and generalized quasi-likelihood inferences in linear models for panel data with measurement error

    2012 · Sankhya B · Fan, Zhaozhi, Sutradhar, Brajendra C., Rao, R. Prabhakar

    2012