Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias [PDF]
Frontiers in Epidemiology, 2023 Epidemiological studies often have missing data, which are commonly handled by multiple imputation (MI). In MI, in addition to those required for the substantive analysis, imputation models often include other variables (“auxiliary variables”). Auxiliary
Elinor Curnow +9 more
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Auxiliary variable-enriched biomarker-stratified design. [PDF]
Stat Med, 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.
Wang T +4 more
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Two-stage sampling in the estimation of growth parameters and percentile norms: sample weights versus auxiliary variable estimation [PDF]
BMC Medical Research Methodology, 2021 Background The use of auxiliary variables with maximum likelihood parameter estimation for surveys that miss data by design is not a widespread approach, despite its documented improved efficiency over traditional approaches that deploy sampling weights.
George Vamvakas +2 more
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Improvement in variance estimation using transformed auxiliary variable under simple random sampling [PDF]
Scientific ReportsThis paper offers a novel approach to formulate efficient ratio estimator of the population variance using a transformed auxiliary variable. The impact of transformation on auxiliary information has also been discussed.
Hameed Ali +4 more
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An optimal estimation approach in non-response under simple random sampling utilizing dual auxiliary variable for finite distribution function [PDF]
HeliyonAuxiliary data needs to be incorporated into survey sampling in order to create a precise population parameter estimator. This study investigates improving the efficiency of these estimators, the researchers use study variable [cumulative distribution ...
Muhammad Junaid +5 more
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Variance Estimation in the Presence of Measurement Errors Under Stratified Random Sampling
Revstat Statistical Journal, 2021 This study focuses on the estimation of population variance of study variable in stratified random sampling using auxiliary information when the observations are contaminated by measurement errors.
Neha Singh +2 more
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Statistica, 2023 This paper presents some efficient classes of estimators of population variance in two-phase successive sampling under random non-response. The suggested classes of estimators are for simple random sampling and for different situations of non-response ...
Zeeshan Basit, M. Ishaq Bhatti
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Assessment of Non-Response under Ratio Method of Imputation in Two- Occasion Successive Sampling [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 This paper considers the problem of estimation of the population mean of the study character under ratio method of imputation when some observations in the sample data are missing at random and the information on an auxiliary variable is readily ...
G.N. Singh, D. Majhi, S. Prasad, F. Homa
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Using of Remote Sensing-Based Auxiliary Variables for Soil Moisture Scaling and Mapping
Remote Sensing, 2022 Soil moisture is one of the core hydrological and climate variables that crucially influences water and energy budgets. The spatial resolution of available soil moisture products is generally coarser than 25 km, which limits their hydro-meteorological ...
Zebin Zhao +4 more
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A New Family of Exponential Type Estimators in the Presence of Non-Response
Journal of Mathematical and Fundamental Sciences, 2021 We propose families of estimators for the population mean using an exponential function in case of non-response. This situation is examined under two cases, Case I and II. The bias, MSE and minimum MSE are separately obtained for both cases.
Ceren Unal, Cem Kadilar
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