Results 111 to 120 of about 5,885 (195)

Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information. [PDF]

Lifetime Data Anal, 2021
Yan F, Zhu L, Liu Y, Cai J, Zhou H.
europepmc   +1 more source

Robust Estimation and Inference for Semiparametric and Nonparametric Regression Models

Mathematics
Parametric regression methods are efficient when correctly specified but are sensitive to model misspecification and outliers. Nonparametric regression offers greater flexibility at the cost of reduced interpretability and susceptibility to the curse of ...
Hamdy F. F. Mahmoud, Ahmed AbdelWahab A. Ali, Wael Mahmoud A. Mohamed   +2 more
doaj   +1 more source

Ensemble estimation and variable selection with semiparametric regression models. [PDF]

Biometrika, 2020
Shin S, Liu Y, Cole SR, Fine JP.
europepmc   +1 more source

Microbiome Data Analysis with Binary Outcome Using Semiparametric Regression Model

Mathematics
In microbiome data analysis, the interest is to infer the relationship among response, covariates and a large number of microbiomes. To model the larger number of microbiomes, we treat them as functional data, and use a semiparametric regression model ...
Duye Liu, Ao Yuan
doaj   +1 more source

Pspatreg: R Package for Semiparametric Spatial Autoregressive Models

Mathematics
This article introduces the R package pspatreg, which is publicly available for download from the Comprehensive R Archive Network, for estimating semiparametric spatial econometric penalized spline (P-Spline) models.
Román Mínguez, Roberto Basile, María Durbán   +2 more
doaj   +1 more source

Determining factors associated with the number of oocytes with appropriate morphology in infertile women: A cross-sectional study

International Journal of Reproductive BioMedicine
Background: Infertility affects millions of couples worldwide. The number of morphologically normal oocytes (MNO) is a key determinant of assisted reproductive technology success. Accurate identification of influencing factors is limited by excess zeros
Zahra Asadollahi, Azadeh Ghaheri, Saiedeh Haji-Maghsoudi, AliAkbar Haghdoost, Mahnaz Ashrafi, Poopak Eftekhari-Yazdi, Yunes Jahani   +6 more
doaj   +1 more source

Semiparametric regression calibration for general hazard models in survival analysis with covariate measurement error; surprising performance under linear hazard. [PDF]

Biometrics, 2021
Wang CY, Song X.
europepmc   +1 more source

Influence Analysis Using Liu–Ridge Estimators in Semiparametric Regression Models

Journal of Mathematics
Influential observations and the multicollinearity among predictors in semiparametric regression models (SPRMs) often lead to biased and unstable coefficient estimates, as well as distorted patterns in leverage and residuals.
Najeeb Mahmood Khan, Muhammad AmanUllah, Javaria Ahmad Khan, Salman Raza   +3 more
doaj   +1 more source

Semiparametric regression methods for temporal processes subject to multiple sources of censoring. [PDF]

Can J Stat, 2020
Zhan T, Schaubel DE.
europepmc   +1 more source

Semiparametric regression and risk prediction with competing risks data under missing cause of failure. [PDF]

Lifetime Data Anal, 2020
Bakoyannis G, Zhang Y, Yiannoutsos CT.
europepmc   +1 more source