Results 11 to 20 of about 57,992 (261)
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification. [PDF]
Stat SciMultilevel regression and poststratification (MRP) is a popular method for addressing selection bias in subgroup estimation, with broad applications across fields from social sciences to public health. In this paper, we examine the inferential validity of MRP in finite populations, exploring the impact of poststratification and model specification. The
Si Y.
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The chain ratio estimator and regression estimator with linear combination of two auxiliary variables. [PDF]
PLoS ONE, 2013 In sample surveys, it is usual to make use of auxiliary information to increase the precision of the estimators. We propose a new chain ratio estimator and regression estimator of a finite population mean using linear combination of two auxiliary ...
Jingli Lu
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A class of ratio estimators of a finite population mean using two auxiliary variables. [PDF]
PLoS ONE, 2014 In sample surveys, it is usual to increase the efficiency of the estimators by the use of the auxiliary information. We propose a class of ratio estimators of a finite population mean using two auxiliary variables and obtain mean square error (MSE ...
Jingli Lu, Zaizai Yan
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Pitfalls of imputing using incomplete auxiliary variables. [PDF]
Am J EpidemiolWe respond to Madley-Dowd et al's recent article in American Journal of Epidemiology. We show that standard imputation algorithms can fail for simple graphs (such as those used in Madley-Dowd et al's simulation study) even when the full data distribution is identified and an appropriate imputation estimator would be straightforward to design.
Mathur MB, Shpitser I.
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A new exponential ratio-type estimator with linear combination of two auxiliary variables. [PDF]
PLoS ONE, 2014 In sample surveys, it is usual to make use of auxiliary information to increase the precision of estimators. We propose a new exponential ratio-type estimator of a finite population mean using linear combination of two auxiliary variables and obtain mean
Jingli Lu, Zaizai Yan, Xiuyun Peng
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Optimum strata boundaries and sample sizes in health surveys using auxiliary variables. [PDF]
PLoS ONE, 2018 Using convenient stratification criteria such as geographical regions or other natural conditions like age, gender, etc., is not beneficial in order to maximize the precision of the estimates of variables of interest.
Karuna Garan Reddy +2 more
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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 +2 more
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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 +3 more
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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 +5 more
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CoRR, 2017 Auxiliary variables are often needed for verifying that an implementation is correct with respect to a higher-level specification. They augment the formal description of the implementation without changing its semantics--that is, the set of behaviors that it describes.
Leslie Lamport, Stephan Merz
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