Results 131 to 140 of about 13,851,275 (245)

Treatment recommendation and parameter estimation under single-index contrast function

open access: yesStatistical Theory and Related Fields, 2017
In this article, we consider a semiparametric model for contrast function which is defined as the conditional expected outcome difference under comparative treatments.
Cui Xiong, Menggang Yu, Jun Shao
doaj   +1 more source

Robustness of a semiparametric estimator of a copula [PDF]

open access: yes
Copulas offer a convenient way of modelling multivariate observations and capturing the intrinsic dependence between the components of a multivariate random variable.
Param Silvapulle   +2 more
core  

Mixtures of Neural Network Experts With Application to Phytoplankton Flow Cytometry Data

open access: yesEnvironmetrics, Volume 37, Issue 7, October 2026.
ABSTRACT Flow cytometry is a valuable technique that measures the optical properties of particles at a single‐cell resolution. When deployed in the ocean, flow cytometry allows oceanographers to study different types of photosynthetic microbes called phytoplankton.
Ethan Pawl   +3 more
wiley   +1 more source

Semiparametric Accelerated Failure Time Model as a New Approach for Health Science Studies

open access: yesIranian Journal of Public Health, 2017
Semiparametric Accelerated Failure Time Model as a New  Approach for Health Science ...
Mostafa KARIMI, Ardalan SHARIAT
doaj  

Multilevel Semiparametric Modeling with Overdispersion and Excess Zeros on School Dropout Rates in Indonesia

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika)
This study aims to identify key factors influencing high school dropout rates in Indonesia by applying advanced statistical modeling that accounts for complex data characteristics.
Arna Ristiyanti Tarida   +2 more
doaj   +1 more source

Incremental Propensity Score Interventions: A Primer for Pharmacoepidemiologists

open access: yesPharmacoepidemiology and Drug Safety, Volume 35, Issue 10, October 2026.
ABSTRACT Background In observational pharmacoepidemiology, estimating average treatment effects (ATEs) is often challenging due to a lack of practical positivity. In highly selective clinical settings, certain patients almost always or never receive treatment, causing ATE estimators to rely on unstable extrapolation.
Byeong Yeob Choi
wiley   +1 more source

Semiparametric Estimation with Generated Covariates [PDF]

open access: yes
In this paper, we study a general class of semiparametric optimization estimators of a vector-valued parameter. The criterion function depends on two types of infinite-dimensional nuisance parameters: a conditional expectation function that has been ...
Schienle, Melanie   +2 more
core  

Breast cancer survival analysis: Applying the generalized gamma distribution under different conditions of the proportional hazards and accelerated failure time assumptions

open access: yesInternational Journal of Preventive Medicine, 2012
Background: The goal of this study is to extend the applications of parametric survival models so that they include cases in which accelerated failure time (AFT) assumption is not satisfied, and examine parametric and semiparametric models under ...
Alireza Abadi   +3 more
doaj  

Generalizing Conditional Average Treatment Effects From Nested Randomized Trials to Trial‐Eligible Individuals

open access: yesStatistics in Medicine, Volume 45, Issue 23-24, October 2026.
ABSTRACT Randomized controlled trials often enroll participants whose characteristics differ from those of a target population. When the distribution of effect modifiers differs between trial participants and the target population, treatment effects estimated within the trial may not be directly applicable to all trial‐eligible individuals.
Lan Wen, Issa J. Dahabreh, Yu‐Han Chiu
wiley   +1 more source

Analogies and differences between the logic behind statistical hypothesis testing and proofs by contradiction: What can we learn from them?

open access: yesTeaching Statistics, Volume 48, Issue 3, Page 185-197, Autumn (Fall) 2026.
Abstract Statistical hypothesis testing (SHT) is widely employed across numerous scientific disciplines, and a clear understanding of its underlying logic is essential for the broader scientific community. Here, drawing upon both epistemological and statistical perspectives, we aim to clarify—primarily for educational purposes—the logical relationship ...
Maria Cristina Amoretti   +1 more
wiley   +1 more source

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