Data/hora: 02/06/2024 05:25:01

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
País: 	United States	
Título: 	A closer examination of subpopulation analysis of complex–sample survey data	
Autores: 	West,   Brady T.; Berglund,   Patricia; Heeringa,   Steven G.	
Data: 	2012-04-13	
Ano: 	2008	
Palavras-chave: 	Survey data analysis; Statistical software; Complex sample designs; Subpopulation analysis; Research Methods/ Statistical Methods.	
Resumo: 	In recent years, general-purpose statistical software packages have incorporated new procedures that feature several useful options for design-based analysis of complex-sample survey data. A common and frequently desired technique for analysis of survey data in practice is the restriction of estimation to a subpopulation of interest. These subpopulations are often referred to interchangeably in a variety of fields as subclasses, subgroups, and domains. In this article, we consider two approaches that analysts of complex-sample survey data can follow when analyzing subpopulations; we also consider the implications of each approach for estimation and inference. We then present examples of both approaches, using selected procedures in Stata to analyze data from the National Hospital Ambulatory Medical Care Survey (NHAMCS). We conclude with important considerations for subpopulation analyses and a summary of suggestions for practice.	
Tipo: 	Article	
Idioma: 	Inglês	
Identificador: 	st0153

http://purl.umn.edu/122618	
Relação: 	Stata Journal&gt;Volume 08, Number 4, 4th Quarter 2008	
Formato: 	12