|
Confidence interval construction for the incidence of chronic diseases
BAI Yong-xin, TIAN Mao-zai
Applied Mathematics A Journal of Chinese Universities, 2016, 31(2): 136-142.
In epidemiological studies, incidence of a disease is an important index which reflects the degree of the onset of a certain disease in the particular crowd. As a result, the structure of the confidence interval of it has important medical significance in judging disease extent. For some chronic diseases (such as cancer or cardiovascular, etc.), due to their long onset period and low incidence, Poisson sampling is in accord with the facts more than binomial sampling and inverse sampling. Four methods were used to study the construction of confidence interval for the incidence of chronic diseases under poisson distribution, and the performance properties of the four methods were compared through monte carlo simulation. Simulation results show that when higher incidence, pivot method did very well in both coverage and the interval length. When rates are relatively lower, pivot method is slightly inferior to Wald statistic method and the method of scoring on the interval length, but it did the best on the coverage. As a result, the overall performance of pivot method is very good.
|
14 articles
|