Results 261 to 270 of about 44,356 (305)

Exposure mixtures and the near future of improving our understanding of worker health. [PDF]

Occup Environ Med
Keil A.
europepmc   +1 more source

Editorial: Environmental challenges and endocrine dysregulation. [PDF]

Front Endocrinol (Lausanne)
Liu C, Wei Y, Kockx M, Kritharides L, Zhang K.   +4 more
europepmc   +1 more source

Improving Maximum Tolerated Dose Selection in Model-Assisted Designs for Phase I Trials Through Bayesian Dose-Response Model. [PDF]

Pharm Stat
Wakayama R, Momozaki T, Ando S.
europepmc   +1 more source

Stage- and sex-specific associations of prenatal individual and mixed metals exposure with adiposity peak and adiposity rebound among children: a prospective birth cohort study. [PDF]

BMC Med
Zuo Y, Jiang Y, Wang X, Liang C, Geng C, Zhou J, Tao X, Huang K, Wu X, Tao F, Tong J.   +10 more
europepmc   +1 more source

Geospatial inequalities in women's malnutrition in Pakistan. [PDF]

BMC Womens Health
Naz L, Ali A, Yasmin S, Trueha K.
europepmc   +1 more source

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Bayesian reciprocal LASSO quantile regression

Communications in Statistics - Simulation and Computation, 2020
The reciprocal LASSO estimate for linear regression corresponds to a posterior mode when independent inverse Laplace priors are assigned on the regression coefficients.
Alhamzawi, Rahim, Mallick, Himel
openaire   +1 more source

Bayesian quantile regression

Statistics & Probability Letters, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu, Keming, Moyeed, Rana A.
openaire   +2 more sources

Bayesian joint-quantile regression

Computational Statistics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yingying Hu, Huixia Judy Wang, Xuming He, Jianhua Guo   +3 more
openaire   +1 more source

Bayesian Quantile Regression for Censored Data

Biometrics, 2013
AbstractSummaryIn this paper we propose a semiparametric quantile regression model for censored survival data. Quantile regression permits covariates to affect survival differently at different stages in the follow‐up period, thus providing a comprehensive study of the survival distribution.
Reich, Brian J., Smith, Luke B.
openaire   +3 more sources