LOGISTIC REGRESSION IN SURVIVAL ANALYSIS

摘要: Logistic regression has been applied to numerous investigations that examine the relationship between risk factors and various disease events. Recently, ability consider time element of event occurrences by proportional hazards models meant logistic played a less important role in analysis survival data. This paper, however, shows when times are grouped into intervals, can be adapted such data modeling interval an occurs. Furthermore, it is shown results from adaptation will often lead parameter estimates close those obtained model setting. An illustration application based on Framingham Heart Study.