Results 111 to 120 of about 5,704 (194)

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

MODELING GENDER DEVELOPMENT INDEX IN SOUTHEAST SULAWESI PROVINCE USING SEMIPARAMETRIC KERNEL REGRESSION

Barekeng
The issue of gender equality in Southeast Sulawesi still needs further attention, as indicated by the uneven value of the Gender Development Index (GDI) in each district/city in the region.
Andi Tenri Ampa, Lilis Laome, Muhammad Ridwan, Baharuddin Baharuddin, Makkulau Makkulau   +4 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

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

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

Prenatal paracetamol exposure and wheezing in infancy: a targeted maximum likelihood estimation application

BMJ Open Respiratory Research
Introduction Targeted maximum likelihood estimation (TMLE) is a semiparametric doubly‐robust estimator that integrates the SuperLearner in the estimation process, an ensemble method that allows us to model the exposure–outcome relationship combining ...
Maja Popovic, Lorenzo Richiardi, Daniela Zugna, Costanza Pizzi, Anne-Marie Nybo Andersen, Franca Rusconi, Enrica Migliore, Milena Maule, Piero Fariselli, Tiziana Sanavia, Chiara Moccia, Giovenale Moirano   +11 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

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

More accurate semiparametric regression in pharmacogenomics. [PDF]

Stat Interface, 2018
Rong Y, Zhao SD, Zhu J, Yuan W, Cheng W, Li Y.   +5 more
europepmc   +1 more source