Results 21 to 30 of about 694,437 (287)

Evaluation of respondent-driven sampling [PDF]

open access: yes, 2012
Respondent-driven sampling produced a generally representative sample of this well-connected nonhidden population. However, current respondent-driven sampling inference methods failed to reduce bias when it occurred.
Joseph Katongole   +34 more
core   +1 more source

Myanmar Household Welfare Survey (MHWS), Round 1

open access: yes, 2022
The first round of the Myanmar Household Welfare Survey (MHWS)–a nationwide phone panel consisting of 12,100 households–was implemented between December 2021 and February 2022.
International Food Policy Research Institute (IFPRI)
core   +1 more source

Quality procedures for survey transitions - experiments, time series and discontinuities

open access: yesSurvey Research Methods, 2008
To maintain uninterrupted time series, surveys conducted by national statistical institutes are often kept unchanged as long as possible. When a change is proposed to improve the methods, it may affect the continuity of these series. It is important to
Jan van den Brakel   +2 more
doaj   +1 more source

Entropy Balancing is Doubly Robust

open access: yesJournal of Causal Inference, 2016
Covariate balance is a conventional key diagnostic for methods estimating causal effects from observational studies. Recently, there is an emerging interest in directly incorporating covariate balance in the estimation.
Zhao Qingyuan, Percival Daniel
doaj   +1 more source

Myanmar Household Welfare Survey (MHWS), Round 2

open access: yes, 2022
The second round of the Myanmar Household Welfare Survey (MHWS)–a nationwide phone panel consisting of 12,142 households–was implemented between April 2022 and June 2022.
International Food Policy Research Institute (IFPRI)
core   +1 more source

Propensity Score Weighting for Causal Inference with Clustered Data

open access: yesJournal of Causal Inference, 2018
Propensity score weighting is a tool for causal inference to adjust for measured confounders in observational studies. In practice, data often present complex structures, such as clustering, which make propensity score modeling and estimation challenging.
Yang Shu
doaj   +1 more source

A survey on sampling recovery

open access: yesCoRR
The reconstruction of unknown functions from a finite number of samples is a fundamental challenge in pure and applied mathematics. This survey provides a comprehensive overview of recent developments in sampling recovery, focusing on the accuracy of various algorithms and the relationship between optimal recovery errors, nonlinear approximation, and ...
Feng Dai, Vladimir N. Temlyakov
openaire   +2 more sources

Robust Särndal-Type Mean Estimators with Re-Descending Coefficients

open access: yesAxioms
When extreme values or outliers occur in asymmetric datasets, conventional mean estimation methods suffer from low accuracy and reliability. This study introduces a novel class of robust Särndal-type mean estimators utilizing re-descending M-estimator ...
Khudhayr A. Rashedi   +7 more
doaj   +1 more source

Interactive Linear Models in Survey Sampling [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2014
Considered is a linear ‘interactive’ model in the context of survey sampling. This situation arises when investigator and/or supervisor interventions are contemplated in the responses.
Bikas K. Sinha, Pulakes Maiti
doaj   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele   +19 more
wiley   +1 more source

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