Zhang P, Medoff-Cooper B
Department of Statistics, University of Pennsylvania, Philadelphia 19104, USA.
Biometrics. 1996 Mar;52(1):112-24.
We explore the relationship between nutritive sucking behavior and physiological status of premature infants. Conventional statistical methods are no longer adequate in this context due to the highly complex structure of nutritive sucking data. We describe sucking pattern by a binary time series and propose a Markov regression model that relates the transition probabilities of the Markov chain to time-dependent covariates through a logistic linkage function. The model is fit to data collected at the Hospital of the University of Pennsylvania. The results are compared with those obtained from traditional data analysis.
我们探讨了早产儿营养性吸吮行为与生理状态之间的关系。由于营养性吸吮数据的结构高度复杂，传统统计方法在此背景下已不再适用。我们用二元时间序列描述吸吮模式，并提出一种马尔可夫回归模型，该模型通过逻辑联系函数将马尔可夫链的转移概率与时间相关协变量联系起来。该模型适用于宾夕法尼亚大学医院收集的数据。将结果与传统数据分析所得结果进行比较。
