Ethical considerations for data involving human gender and sex variables
Fuente:
arXiv
Saved in:
| Main Authors: | Thornton, Suzanne, Tractenberg, Rochelle E. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
by: Vega, Sofia L., et al.
Published: (2025)
by: Vega, Sofia L., et al.
Published: (2025)
State policy heterogeneity analyses: considerations and proposals
by: Rubinstein, Max, et al.
Published: (2026)
by: Rubinstein, Max, et al.
Published: (2026)
Practical considerations for specifying a super learner
by: Phillips, Rachael V., et al.
Published: (2022)
by: Phillips, Rachael V., et al.
Published: (2022)
A Finite Mixture Hidden Markov Model for Intermittently Observed Disease Process with Heterogeneity and Partially Known Disease Type
by: Shi, Yidan, et al.
Published: (2024)
by: Shi, Yidan, et al.
Published: (2024)
A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)
by: Wieditz, Johannes, et al.
Published: (2023)
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support
by: Kuha, Jouni, et al.
Published: (2021)
by: Kuha, Jouni, et al.
Published: (2021)
Addressing errors in multiple variables using generalized raking and cumulative probability models
by: Kawaguchi, Eric S., et al.
Published: (2026)
by: Kawaguchi, Eric S., et al.
Published: (2026)
Joint model for interval-censored semi-competing events and longitudinal data with subject-specific within and between visits variabilities
by: Courcoul, Léonie, et al.
Published: (2024)
by: Courcoul, Léonie, et al.
Published: (2024)
Mapping beyond diseases: Controlled variable selection for secondary phenotypes using tilted knockoffs
by: Zhao, Qian, et al.
Published: (2025)
by: Zhao, Qian, et al.
Published: (2025)
Functional structural equation modeling with latent variables
by: Asgari, Fatemeh, et al.
Published: (2024)
by: Asgari, Fatemeh, et al.
Published: (2024)
Design-based nested instrumental variable analysis
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
Bayesian semiparametric modelling of biomarker variability in joint models
by: Chen, Sida, et al.
Published: (2025)
by: Chen, Sida, et al.
Published: (2025)
A latent variable model for identifying and characterizing food adulteration
by: Casa, Alessandro, et al.
Published: (2025)
by: Casa, Alessandro, et al.
Published: (2025)
Distribution-free screening of spatially variable genes in spatial transcriptomics
by: Wang, Changhu, et al.
Published: (2026)
by: Wang, Changhu, et al.
Published: (2026)
Assessing variable importance in survival analysis using machine learning
by: Wolock, Charles J., et al.
Published: (2023)
by: Wolock, Charles J., et al.
Published: (2023)
A new coefficient to measure agreement between continuous variables
by: Vallejos, Ronny, et al.
Published: (2025)
by: Vallejos, Ronny, et al.
Published: (2025)
Principal stratification with continuous treatments and continuous post-treatment variables
by: Antonelli, Joseph, et al.
Published: (2023)
by: Antonelli, Joseph, et al.
Published: (2023)
Spatio-temporal point process modelling of fires in Sicily exploring human and environmental factors
by: D'Angelo, Nicoletta, et al.
Published: (2024)
by: D'Angelo, Nicoletta, et al.
Published: (2024)
Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)
by: Lacroix, Perrine, et al.
Published: (2021)
Accounting for variable detection functions in temporal abundance modeling via transfer learning
by: Collins, Kevin M., et al.
Published: (2026)
by: Collins, Kevin M., et al.
Published: (2026)
Constructing Simultaneous Confidence Bands for Errors-in-variables Curves with Application to the Lorenz Curve
by: Dong, Ziqing, et al.
Published: (2025)
by: Dong, Ziqing, et al.
Published: (2025)
Sensitivity analysis method in the presence of a missing not at random ordinal independent variable
by: Dioni, Abdoulaye, et al.
Published: (2025)
by: Dioni, Abdoulaye, et al.
Published: (2025)
Functional and variables selection in extreme value models for regional flood frequency analysis
by: Gardini, Aldo
Published: (2023)
by: Gardini, Aldo
Published: (2023)
Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024)
by: Strömer, Annika, et al.
Published: (2024)
Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables
by: Park, Kwangmoon, et al.
Published: (2026)
by: Park, Kwangmoon, et al.
Published: (2026)
Facilitating the Integration of Ethical Reasoning into Quantitative Courses: Stakeholder Analysis, Ethical Practice Standards, and Case Studies
by: Tractenberg, Rochelle E., et al.
Published: (2024)
by: Tractenberg, Rochelle E., et al.
Published: (2024)
Practical considerations when designing an online learning algorithm for an app-based mHealth intervention
by: Gonzalez, Rachel T, et al.
Published: (2025)
by: Gonzalez, Rachel T, et al.
Published: (2025)
Evaluating the impact of instrumental variables in propensity score models using synthetic and negative control experiments
by: Tian, Yuxi, et al.
Published: (2024)
by: Tian, Yuxi, et al.
Published: (2024)
Ethical Statistical Practice and Ethical AI
by: Tractenberg, Rochelle E.
Published: (2024)
by: Tractenberg, Rochelle E.
Published: (2024)
Sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising
by: Park, Kwangmoon, et al.
Published: (2023)
by: Park, Kwangmoon, et al.
Published: (2023)
Hierarchical models for small area estimation using zero-inflated forest inventory variables: comparison and implementation
by: White, Grayson W., et al.
Published: (2025)
by: White, Grayson W., et al.
Published: (2025)
Finite-sample bias-variance tradeoff with variables related to trial participation inserted into causal forest models for ensuring generalizability
by: Hamaya, Rikuta, et al.
Published: (2025)
by: Hamaya, Rikuta, et al.
Published: (2025)
How to develop, externally validate, and update multinomial prediction models
by: Gehringer, Celina K, et al.
Published: (2023)
by: Gehringer, Celina K, et al.
Published: (2023)
A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, et al.
Published: (2024)
How many federal employees are not satisfied? Using response times to estimate population proportions under the survey variable cause model
by: Auerbach, Jonathan
Published: (2025)
by: Auerbach, Jonathan
Published: (2025)
Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics
by: Williams, Jonathan P, et al.
Published: (2021)
by: Williams, Jonathan P, et al.
Published: (2021)
Clustering multivariate functional data using the epigraph and hypograph indices: a case study on Madrid air quality
by: Pulido, Belén, et al.
Published: (2023)
by: Pulido, Belén, et al.
Published: (2023)
Bayesian kernel machine regression for heteroscedastic health outcome data
by: Smith, Melissa J., et al.
Published: (2025)
by: Smith, Melissa J., et al.
Published: (2025)
Modelling multi-scale state-switching functional data with hidden Markov models
by: Sidrow, Evan, et al.
Published: (2021)
by: Sidrow, Evan, et al.
Published: (2021)
Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array
by: Dumon, Marine, et al.
Published: (2025)
by: Dumon, Marine, et al.
Published: (2025)
Similar Items
-
Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
by: Vega, Sofia L., et al.
Published: (2025) -
State policy heterogeneity analyses: considerations and proposals
by: Rubinstein, Max, et al.
Published: (2026) -
Practical considerations for specifying a super learner
by: Phillips, Rachael V., et al.
Published: (2022) -
A Finite Mixture Hidden Markov Model for Intermittently Observed Disease Process with Heterogeneity and Partially Known Disease Type
by: Shi, Yidan, et al.
Published: (2024) -
A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)