文章基本信息

标题：Generalized least squares for trend estimation of summarized dose–response data
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作者：Orsini, Nicola ; Bellocco, Rino ; Greenland, Sander 等
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2006
卷号：37
期号：SUPPL
页码：40-57
出版社：Food Distribution Research Society
摘要：This paper presents a command, glst, for trend estimation across different exposure levels for either single or multiple summarized case–control, incidence-rate, and cumulative incidence data. This approach is based on constructing an approximate covariance estimate for the log relative risks and estimating a corrected linear trend using generalized least squares. For trend analysis of multiple studies, glst can estimate fixed- and random-effects metaregression models.
关键词：glst;dose–response data;generalized least squares;trend;meta-analysis;metaregression