A Computer Program to Calculate Indicators of Descriptive Epidemiology

Ettore Bidoli , Anna Redivo, Silvia Franceschi
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引用次数: 2

Abstract

Comparison of incidence and mortality data between areas is useful for monitoring the health status of a population, for exploring quality of health care, and for planning studies on determinant(s) of heterogeneous patterns. Common statistical indicators involved, together with their confidence intervals, are age-specific and cumulative rates, age-standardized rates and ratios, and expected numbers. The data required for calculations include information of event distribution according to age and residence, and corresponding population at risk. The calcula tions of these indicators, although conceptually simple, can be a cumbersome task to carry out with available statistical packages; lack of flexibility to suit the need of specific researches represents another problem. In order to facilitate descriptive epidemiological studies, we devel oped a set of Statistical Analysis System macros to compute indicators but, also, to read and write data from/to some standard file formats. Important features of these macros are their flexibility, expandibility, and ability to be transferred to various computer platforms. Moreover, macros give an added value to raw data. The method is illustrated using published incidence data from Italy.

计算描述性流行病学指标的计算机程序
比较不同地区之间的发病率和死亡率数据,有助于监测人口的健康状况,探索保健质量,以及规划研究异质性模式的决定因素。所涉及的常见统计指标及其置信区间包括特定年龄和累积比率、年龄标准化比率和比率,以及预期数字。计算所需的数据包括按年龄和居住地划分的事件分布信息,以及相应的风险人群。这些指标的计算虽然在概念上很简单,但用现有的统计方法进行起来可能是一项繁琐的任务;缺乏适应具体研究需要的灵活性是另一个问题。为了便于描述性流行病学研究,我们开发了一套统计分析系统宏来计算指标,同时也可以从一些标准文件格式中读取和写入数据。这些宏的重要特性是它们的灵活性、可扩展性以及可以转移到各种计算机平台的能力。此外,宏为原始数据提供了附加价值。该方法用意大利公布的发病率数据加以说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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