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Application of Excel Visual Basic for efficiently complete statistic analysis / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 995-998, 2005.
Article in Chinese | WPRIM | ID: wpr-295640
ABSTRACT
<p><b>OBJECTIVE</b>In order to analyze multiple statistic tables more efficiently Excel Visual Basic for Application (VBA) was introduced through the use of an example of calculating standardized mortality rates (SMRs).</p><p><b>METHODS</b>Mortality data of cancer and cardiovascular diseases, by sex and age, have been collected from 1991 to 2003 by the Center for Disease Control and Prevention of Shanghai Huangpu District. Standard population composition was defined as Chinese census statistics in 2000. The male's SMRs were calculated, using Excel VBA for each year and classification of cancers.</p><p><b>RESULTS</b>The male's SMRs were obtained by year and different cancers. At the same time, the results were listed in the cancer's SMRs table for male.</p><p><b>CONCLUSIONS</b>Excel is more flexible than general database on the combination of data and annotation. Excel VBA is better than the basic Excel in operating multiple tables simultaneously and man-machine conversation. Statistic analysis can be efficiently completed by using Excel VBA.</p>
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Database Management Systems / Cardiovascular Diseases / China / Sex Factors / Epidemiology / Data Interpretation, Statistical / Mortality / Age Factors / Neoplasms Type of study: Prognostic study Limits: Humans / Male Country/Region as subject: Asia Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2005 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Database Management Systems / Cardiovascular Diseases / China / Sex Factors / Epidemiology / Data Interpretation, Statistical / Mortality / Age Factors / Neoplasms Type of study: Prognostic study Limits: Humans / Male Country/Region as subject: Asia Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2005 Type: Article