摘要
本文分别用时间离散的Markov链和时间连续的Markov过程研究了具有时变伴随变量的肿瘤潜隐期二阶段模型。直接将转移概率矩阵作乘法型参数化,利用极大似然和似然比对参数作估计和检验,作为实例,应用于江西省靖安县12年6轮宫颈癌筛查资料。
A time-discrete Markov chain procedure and a time-continuous Markov process procedure were used to study a two-stage model with time-dependent covariates for latent period of cancer. The transition probability matrix was directly parameterized by multiplication, and maximum likelihood and likelihood ratio were adopted for parameter estimation and hypothesis testing. As an example, the model was applied to analyse a set of 12 year and 6 run screening data of cervical cancer in Jingan county, Jiangxi Province, China.
出处
《应用概率统计》
CSCD
北大核心
1995年第2期205-212,共8页
Chinese Journal of Applied Probability and Statistics
基金
国家"七五"攻关肿瘤研究基金
国家教委博土点基金资助
