Results 41 to 50 of about 20,763 (296)

Investigating standardized criteria to evaluate the impact of agro-healing programs on psychological and interpersonal outcomes: Utilizing normalization methods

Acta Psychologica
Nature- and agriculture-based activities are increasingly used as accessible, non-pharmacological supports for psychological well-being, yet heterogeneous designs and measures complicate interpretation across studies.
In-Kyoung Hong, Sunjin Jeong, Sang-Mi Lee, Jiwon Moon, Yeseul Jo, Sena Choi, Youngdo Shim, Sanghoo Yoon, Kwangjin Kim   +8 more
doaj   +1 more source

Nonparametric Inference in Mixture Cure Models

Proceedings, 2018
A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population (latency) are introduced.
Ana López-Cheda, Ricardo Cao, Mª Amalia Jácome, Ingrid Van Keilegom   +3 more
doaj   +1 more source

Nonparametric bootstrap tests for independence of generalized errors [PDF]

The Econometrics Journal, 2009
Summary In this paper, we develop a general method of testing for independence when unobservable generalized errors are involved. Our method can be applied to testing for serial independence of generalized errors, and testing for independence between the generalized errors and observable covariates.
openaire   +2 more sources

Longitudinal Assessment of Biomarkers in ALS: Discriminative Biomarkers for Disease Progression and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers, Yueh‐Yun Lin, Jason R. Thonhoff, Aaron D. Thome, Alireza Faridar, Weihua Zhao, Shixiang Wen, Stanley H. Appel   +7 more
wiley   +1 more source

APPLICATION OF THE BOOTSTRAP METHOD ON A LARGE INPUT DATA SET - CASE STUDY ON THE WESTERN PART OF THE SAVA DEPRESSION

Rudarsko-geološko-naftni Zbornik, 2021
The bootstrap method is a nonparametric statistical method that through the resampling of an input data set provides the ability to obtain a new data set that is normally distributed.
Josip Ivšinović, Nikola Litvić
doaj   +1 more source

On the Inconsistency of Nonparametric Bootstraps for the Subvector Anderson-Rubin Test [PDF]

SSRN Electronic Journal, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Rheumatoid Arthritis and Coronary Artery Calcium Progression: A Case Cohort Analysis From ELSA‐Brasil

Arthritis Care &Research, EarlyView.
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada, Marcos Rafael N. Cavalcante, Itamar de Souza Santos, Márcio S. Bittencourt, Vandrize Meneghini, Paulo A. Lotufo, Alessandra C. Goulart, Isabela M. Bensenor   +7 more
wiley   +1 more source

MPBoot: fast phylogenetic maximum parsimony tree inference and bootstrap approximation

BMC Evolutionary Biology, 2018
Background The nonparametric bootstrap is widely used to measure the branch support of phylogenetic trees. However, bootstrapping is computationally expensive and remains a bottleneck in phylogenetic analyses.
Diep Thi Hoang, Le Sy Vinh, Tomáš Flouri, Alexandros Stamatakis, Arndt von Haeseler, Bui Quang Minh   +5 more
doaj   +1 more source

Bootstrap Initialization of MLE for Infinite Mixture Distributions with Applications in Insurance Data

Risks
Maximum likelihood estimation (MLE) in infinite mixture distributions often lacks closed-form solutions, requiring numerical methods such as the Newton–Raphson algorithm.
Aceng Komarudin Mutaqin
doaj   +1 more source

Bandwidth Selection for Prediction in Regression

Proceedings, 2019
There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then the existing methods can easily be ...
Inés Barbeito, Ricardo Cao, Stefan Sperlich   +2 more
doaj   +1 more source