Estimation of health-related characteristics at a fine local geographic level is vital for
effective health promotion programmes, provision of better health services and population …

Small Area Estimation and Microsimulation Modeling is the first practical handbook that
comprehensively presents modern statistical SAE methods in the framework of ultramodern …

Big data analytics is a very fast growing research domain which embedded the combination
of computational (ie computer-intensive) and inferential (ie statisticsoriented) thinking …

Small area estimation (SAE) of survey data down to small area level has become an
increasingly widespread activity as scholars and policy-makers have sought to gain ever …

In this paper, some vital methodological issues of spatial microsimulation modelling for small
area estimation have been addressed, with a particular emphasis given to the reweighting …

These days spatial microsimulation modelling plays a vital role in policy analysis for small
areas. Most developed countries are using these tools in ways to make knowledgeable …

A wide range of user groups from policy makers to media commentators demand ever more
spatially detailed information yet the desired data are often not available at fine spatial …

Abstract Background Electronic Health Record (EHR) data are increasingly being used to
monitor population health on account of their timeliness, granularity, and large sample sizes …

Background We used a multilevel regression and poststratification approach to generate
estimates of health-related outcomes using Behavioral Risk Factor Surveillance System …

This cross-sectional study was conducted in a central statistical subdivision (ie Tangail
district) in Bangladesh. Asample of 240 homeless children was collected from 12 different …