摘要
麻风病发病率与时间的关系是曲线相关。通常采用单条线段拟合其流行模式，效果欠佳。我们应用有限多条线段在计算机上用逐步回归方法筛选出最优的多元回归模型，可以大大地提高模式的吻合度。在麻风病流行病学及其控制理论中有广泛的应用价值。
Relationship between leprosy incidence rate and time had a curved line tendency.Leprosy epidemic model was portrayed with single line previously,but it was not good enough.Progressive regression method was used to select the best multiple line regression model with limited multiple-line in comptter.The results showed this method had increased coincidence rate of the curved model significantly.We believe that will be used widely in leprosy epidemiology and controlling leprosy epidemicity.
出处
《中国皮肤性病学杂志》
CAS
北大核心
1996年第6期332-333,共2页
The Chinese Journal of Dermatovenereology
关键词
曲线拟合
逐步回归
麻风病
Curve fitting Srepwise regression Leprosy
