Bacik J M, Murphy S A, Anthony J C
Multivariate Behav Res. 1998 Oct 1;33(4):573-88. doi: 10.1207/s15327906mbr3304_6.
In prevention studies, researchers often investigate the incidence of initial drug experimentation or other drug use milestones and its relationship to individual attributes such as the level of parental monitoring or rebelliousness. In this case, survival analysis is the methodology of choice. Survival analysis methods deal efficiently with data from individuals who leave the study prematurely and do not return. However often individuals do return to the study. The application of survival analysis to a situation in which individuals miss assessments and later return is nonstandard. This article examines the use of multiple imputation as a methodology for utilizing information from all assessments.
在预防研究中,研究人员经常调查初次药物试验或其他吸毒里程碑事件的发生率及其与个体属性(如父母监督水平或叛逆性)之间的关系。在这种情况下,生存分析是首选的方法。生存分析方法能有效地处理那些过早离开研究且不再返回的个体的数据。然而,个体常常会返回研究。将生存分析应用于个体错过评估后又返回的情况是不标准的。本文探讨了使用多重填补法作为一种利用所有评估信息的方法。