Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models by Leah T. Dreesmann, Timothy R. Johnson, Jason W. Karl

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Efficient estimation method of population mean with non-response and observational error under ORRT models by Sunil Kumar, Chanda Rani, Housila P. Singh, J. P. S. Joorel

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A two-stage random-effects estimator for meta-analyses of the value per statistical life. by Stephen C Newbold, Chris Dockins, Nathalie Simon, Kelly Maguire, Abdullah Muhammad Sakib

“…This allows for two levels of non-sampling errors while preserving degrees of freedom and therefore increasing statistical efficiency. …”
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How well do mothers recall their own and their infants’ perinatal events? A two-district study using cross-sectional stratified random sampling in Bihar, India by Caroline Jeffery, Joseph James Valadez, Baburam Devkota, Wilbur C Hadden

“…Excessive stratification wastes resources, does not improve the quality of information and increases the burden placed on data collectors and communities which can increase non-sampling error.…”
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Challenges and experiences in linking community level reported out-of-pocket health expenditures to health provider recorded health expenditures: Experience from the iHOPE project... by Isaiah Awintuen Agorinya, Maxwell Dalaba, Nathan Kumasenu Mensah, Samuel Tamti Chatio, Lan My Le, Yadeta Dassie Bacha, Jemima Sumboh, Gabriela Flores, Tessa Tan-Torres Edejer, Amanda Ross, Fabrizio Tediosi, James Akazili

“…However, the accurate measurement of OOPs has been challenged by several limitations which are attributed to both sampling and non-sampling errors when OOPs are estimated from household surveys, the primary source of information in LICs and LMICs. …”
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