Results 11 to 20 of about 421,329 (326)

An Information Criterion for Auxiliary Variable Selection in Incomplete Data Analysis

Entropy, 2019
Statistical inference is considered for variables of interest, called primary variables, when auxiliary variables are observed along with the primary variables.
Shinpei Imori, Hidetoshi Shimodaira
doaj   +3 more sources

Can registry-based auxiliary variables improve handling of missing outcome data in mental health trials? Evidence from a registry-linked randomized study. [PDF]

Trials
Andersen AIO, Knapstad M, Smith ORF.
europepmc   +2 more sources

SIMULATION STUDY OF HIERARCHICAL BAYESIAN APPROACH FOR SMALL AREA ESTIMATION WITH MEASUREMENT ERROR

Barekeng, 2023
In small area estimation (SAE), the auxiliary variables used are commonly derived from registration data such as census and administrative data. It is assumed that the auxiliary variables are available for all areas. The limited availability of auxiliary
Leli Latifah, Kusman Sadik, Indahwati Indahwati   +2 more
doaj   +1 more source

Much Ado About Missingness: A Demonstration of Full Information Maximum Likelihood Estimation to Address Missingness in Functional Magnetic Resonance Imaging Data

Frontiers in Neuroscience, 2021
The current paper leveraged a large multi-study functional magnetic resonance imaging (fMRI) dataset (N = 363) and a generated missingness paradigm to demonstrate different approaches for handling missing fMRI data under a variety of conditions.
Timothy D. Nelson, Rebecca L. Brock, Sonja Yokum, Cara C. Tomaso, Cary R. Savage, Eric Stice   +5 more
doaj   +1 more source

Measurement Invariance and Differential Item Functioning Across Gender Within a Latent Class Analysis Framework: Evidence From a High-Stakes Test for University Admission in Saudi Arabia

Frontiers in Psychology, 2020
The main aim of the present study was to investigate the presence of Differential Item Functioning (DIF) using a latent class (LC) analysis approach. Particularly, we examined potential sources of DIF in relation to gender.
Ioannis Tsaousis, Georgios D. Sideridis, Georgios D. Sideridis, Hanan M. AlGhamdi   +3 more
doaj   +1 more source

Auxiliary variable–enriched biomarker‐stratified design [PDF]

Statistics in Medicine, 2018
Clinical trials in the era of precision medicine require assessment of biomarkers to identify appropriate subgroups of patients for targeted therapy. In a biomarker‐stratified design (BSD), biomarkers are measured on all patients and used as stratification variables.
Ting Wang, Xiaofei Wang, Haibo Zhou, Jianwen Cai, Stephen L. George   +4 more
openaire   +3 more sources

Robust estimation for varying-coefficient partially linear measurement error model with auxiliary instrumental variables

AIMS Mathematics, 2023
We study the varying-coefficient partially linear model when some linear covariates are not observed, but their auxiliary instrumental variables are available.
Yanting Xiao, Wanying Dong
doaj   +1 more source

Auxiliary Variable Based Particle Filters [PDF]

, 2001
We model a time series {y t , t = 1, ..., n} using a state-space framework with the {y t |α t } being independent and with the state {α t } assumed to be Markovian. The task will be to use simulation to estimate f(α t |F t ), t = 1, ..., n, where F t is contemporaneously available information.
Neil Shephard, Michael K. Pitt
openaire   +2 more sources

Improved generalized class of estimators in estimating the finite population mean using two auxiliary variables under two-stage sampling

AIMS Mathematics, 2022
This article addresses the problem of estimating the finite population mean using two auxiliary variables under two-stage sampling scheme. Further the proposed improved class of estimators are provided their genralized form.
Sohaib Ahmad , Sardar Hussain, Javid Shabbir, Muhammad Aamir , M. El-Morshedy , Zubair Ahmad, Sharifah Alrajhi   +6 more
doaj   +1 more source

A modified regression-cum-ratio estimator for finite population mean in presence of nonresponse using ranked set sampling

AIMS Mathematics, 2022
Several situations arise where decision-making is required for some characteristics of an asymmetrical population for example estimation of the weekly number of server breakdowns at a company.
Mehreen Fatima, Saman Hanif Shahbaz, Muhammad Hanif , Muhammad Qaiser Shahbaz   +3 more
doaj   +1 more source