Ridge, lasso, and elastic-net estimations of the modified Poisson and least-squares regressions for binary outcome data
Fuente:
arXiv
Saved in:
| Main Authors: | Kitano, Takahiro, Noma, Hisashi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Influence analyses of "designs" for evaluating inconsistency in network meta-analysis
by: Sasaki, Kotaro, et al.
Published: (2024)
by: Sasaki, Kotaro, et al.
Published: (2024)
Profile least squares estimation in networks with covariates
by: Chandna, Swati, et al.
Published: (2024)
by: Chandna, Swati, et al.
Published: (2024)
Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence
by: Sasaki, Kotaro, et al.
Published: (2026)
by: Sasaki, Kotaro, et al.
Published: (2026)
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
by: Urbas, Szymon, et al.
Published: (2023)
by: Urbas, Szymon, et al.
Published: (2023)
Quasi‐likelihood ratio tests and the Bartlett‐type correction for improved inferences of the modified Poisson and least‐squares regressions for binary outcomes
by: Hisashi Noma, et al.
Published: (2025)
by: Hisashi Noma, et al.
Published: (2025)
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)
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
by: Miah, Kaya, et al.
Published: (2024)
by: Miah, Kaya, et al.
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)
Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
by: Chan, Christian, et al.
Published: (2024)
by: Chan, Christian, et al.
Published: (2024)
A comparison between copula-based, mixed model, and estimating equation methods for regression of bivariate correlated data
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)
Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
by: Nguyen, Phuc H., et al.
Published: (2025)
by: Nguyen, Phuc H., et al.
Published: (2025)
A comparison of methods for Poisson regression in the presence of background
by: Bonamente, Massimiliano, et al.
Published: (2026)
by: Bonamente, Massimiliano, et al.
Published: (2026)
Subdata selection for big data regression: an improved approach
by: Chasiotis, Vasilis, et al.
Published: (2023)
by: Chasiotis, Vasilis, et al.
Published: (2023)
Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
by: Williams, Nicholas, et al.
Published: (2025)
by: Williams, Nicholas, et al.
Published: (2025)
Evaluating the impact of outcome delay on the efficiency of sample size re-estimation
by: Mukherjee, Aritra, et al.
Published: (2026)
by: Mukherjee, Aritra, et al.
Published: (2026)
Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)
by: Ji, Feng, et al.
Published: (2024)
Bayesian sequential analysis of adverse events with binary data
by: Wang, Jiayue, et al.
Published: (2025)
by: Wang, Jiayue, et al.
Published: (2025)
Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)
by: Junglee, Yovna, et al.
Published: (2025)
Quantile regression for longitudinal functional data with application to feed intake of lactating sows
by: Battagliola, Maria Laura, et al.
Published: (2023)
by: Battagliola, Maria Laura, et al.
Published: (2023)
Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, et al.
Published: (2026)
by: Xu, Zichun, et al.
Published: (2026)
Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
by: Gao, Chenyin, et al.
Published: (2024)
by: Gao, Chenyin, et al.
Published: (2024)
Density regression via Dirichlet process mixtures of normal structured additive regression models
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)
A marginalized three-part interrupted time series regression model for proportional data
by: Ye, Shangyuan, et al.
Published: (2022)
by: Ye, Shangyuan, et al.
Published: (2022)
Using off-treatment sequential multiple imputation for binary outcomes to address intercurrent events handled by a treatment policy strategy
by: Rehal, Sunita, et al.
Published: (2025)
by: Rehal, Sunita, et al.
Published: (2025)
Combining BART and Principal Stratification to estimate the effect of intermediate variables on primary outcomes with application to estimating the effect of family planning on employment in Nigeria and Senegal
by: Garraza, Lucas Godoy, et al.
Published: (2024)
by: Garraza, Lucas Godoy, et al.
Published: (2024)
Combining BART and Principal Stratification to estimate the effect of intermediate on primary outcomes with application to estimating the effect of family planning on employment in sub-Saharan Africa
by: Garraza, Lucas Godoy, et al.
Published: (2024)
by: Garraza, Lucas Godoy, et al.
Published: (2024)
Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)
by: Ren, Benny, et al.
Published: (2024)
Tractable Ridge Regression for Paired Comparisons
by: Varin, Cristiano, et al.
Published: (2024)
by: Varin, Cristiano, 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)
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
by: Liu, Xueqing, et al.
Published: (2023)
by: Liu, Xueqing, et al.
Published: (2023)
Anisotropic local constant smoothing for change-point regression function estimation
by: Thompson, John R. J., et al.
Published: (2020)
by: Thompson, John R. J., et al.
Published: (2020)
Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
by: Aurensanz-Crespo, Adrián, et al.
Published: (2026)
by: Aurensanz-Crespo, Adrián, et al.
Published: (2026)
Robust reduced rank regression under heavy-tailed noise and missing data via non-convex penalization
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Spatial vertical regression for spatial panel data: Evaluating the effect of the Florentine tramway's first line on commercial vitality
by: Grossi, Giulio, et al.
Published: (2025)
by: Grossi, Giulio, et al.
Published: (2025)
Quantile regression with generalized multiquadric loss function
by: Gao, Wenwu, et al.
Published: (2025)
by: Gao, Wenwu, et al.
Published: (2025)
Bayesian nonparametric mean residual life regression
by: Poynor, Valerie, et al.
Published: (2014)
by: Poynor, Valerie, et al.
Published: (2014)
Direct covariance matrix estimation with compositional data
by: Molstad, Aaron J., et al.
Published: (2022)
by: Molstad, Aaron J., et al.
Published: (2022)
Vaccine sieve analysis on deep sequencing data using competing risks Cox regression with failure type subject to misclassification
by: Peng, James, et al.
Published: (2025)
by: Peng, James, et al.
Published: (2025)
Facilitating heterogeneous effect estimation via statistically efficient categorical modifiers
by: Kowal, Daniel R.
Published: (2024)
by: Kowal, Daniel R.
Published: (2024)
Similar Items
-
Influence analyses of "designs" for evaluating inconsistency in network meta-analysis
by: Sasaki, Kotaro, et al.
Published: (2024) -
Profile least squares estimation in networks with covariates
by: Chandna, Swati, et al.
Published: (2024) -
Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence
by: Sasaki, Kotaro, et al.
Published: (2026) -
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
by: Urbas, Szymon, et al.
Published: (2023) -
Quasi‐likelihood ratio tests and the Bartlett‐type correction for improved inferences of the modified Poisson and least‐squares regressions for binary outcomes
by: Hisashi Noma, et al.
Published: (2025)