This study aimed to classify caregiving families according to the Family Caregivers' Appraisal Checklist (FACL; Horiguchi et al., 2012), which was originally developed to evaluate the probability of continuing caregiving. After nationwide targeting in Japan, the selected survey candidates included 1279 families utilizing domiciliary nursing services chosen by stratified two-stage sampling, and ...

BACKGROUND The Comprehensive Survey of Living Conditions of the People on Health and Welfare (CSLC) is a major source of health data in Japan. The CSLC is not strictly based on probabilistic sampling, but instead uses an equal allocation of sample clusters to yield equal standard errors of estimates across prefectures. This study compared the performance of this sample design in measuring popul...

OBJECTIVE To reduce cost and time associated with household sampling process and to assess the feasibility of shared use of address data file of census enumeration areas in several epidemiological surveys using updated information from the National Survey of Households (PNAD). METHODS Address data file comprising 72 census enumeration areas was kept as primary sampling units for the city of S...

To estimate the variance for rare and cluster population has been main problemin survey sampling. Three ratio type estimators were proposed utilizing thesingle auxiliary variable assuming transformed adaptive sampling, inpresented study. The expressions mean square error bias of estimator werederived. estimatorswere used to finite in adaptivecluster simulationswereperformedon a real life data r...

If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead to biased and misleading results. An adapted cross-validation is described for this case. Using a simulation, the sampling distribution of the generalization error rate estimate, under cluster or simple random samplin...