| Literature DB >> 23154317 |
Luis Carlos Silva1, Mikhail Benet, Alain Morejón, Pedro Ordúñez.
Abstract
One of the most common shortcomings in non-communicable disease risk factor surveillance, especially in prevalence studies, is sampling procedures, which can and do compromise accuracy and reliability of derived estimates. Moreover, sampling consumes significant time and resources. Since the early 1990s, risk factor surveys in Cienfuegos province, Cuba have paid particular attention to careful sampling methods. The new survey conducted in 2011 was not only statistically rigorous but introduced an innovative, more efficient method. This article provides a detailed description of the sample design employed to optimize resource use without compromising selection rigor.Mesh:
Year: 2012 PMID: 23154317 DOI: 10.1590/s1555-79602012000400008
Source DB: PubMed Journal: MEDICC Rev ISSN: 1527-3172 Impact factor: 0.583