A novel framework for validating and applying standardized small area measurement strategies.

ABSTRACT:

Background

Local measurements of health behaviors, diseases, and use of health services are critical inputs into local, state, and national decision-making. Small area measurement methods can deliver more precise and accurate local-level information than direct estimates from surveys or administrative records, where sample sizes are often too small to yield acceptable standard errors. However, small area measurement requires careful validation using approaches other than conventional statistical methods such as in-sample or cross-validation methods because they do not solve the problem of validating estimates in data-sparse domains.

Methods

A new general framework for small area estimation and validation is developed and applied to estimate Type 2 diabetes prevalence in US c

SUBMITTER: Srebotnjak T 

PROVIDER: S-EPMC2958154 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature