Literature DB >> 11084234

Analysis of complex survey data using SAS.

S R Cole1.   

Abstract

Commonly used statistical methods and software packages typically assume that observations are independent and identically distributed and fail to account for complex sampling designs when present. I suggest an approach to analyzing complex survey data in SAS, using weighted generalized estimating equations. Limited Monte Carlo simulations support the method. An example demonstrates application of the method and compares results to those from software commonly used in the analysis of complex survey data.

Mesh：

Year:  2001        PMID： 11084234     DOI： 10.1016/s0169-2607(00)00088-2

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN： 0169-2607            Impact factor:   5.428


  15 in total

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9.  A comparison of respondent-driven and venue-based sampling of female sex workers in Liuzhou, China.

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