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本文列举疾病防治实践中运用分布拟合检验的若干例子,说明分布拟合检验在疾病防治研究中的作用。文章分别拟合了二项分布、泊松分布及负二项分布。除此还可根据资料类型及样本分布情况拟合其他分布,如正态分布、指数分布、多项分布等。但拟合检验仍属统计推断,最后结论仍需靠专业理论及实践证实。
This article lists a few examples of the use of distribution fitting tests in disease prevention and treatment practices to illustrate the role of distribution fit testing in disease prevention research. The article respectively fitted binomial distribution, Poisson distribution and negative binomial distribution. In addition, other distributions can be fitted according to the type of data and the distribution of samples, such as normal distribution, exponential distribution, multiple distributions and the like. But the fitting test is still a statistical inference, the final conclusion still need to rely on professional theory and practice confirmed.