方法对比

	Conflict Recurrence Analysis	Militarized Interstate Dispute Analysis	生存分析
领域	International Relations	International Relations	研究统计学
方法族	Survival analysis	Process / pipeline	Process / pipeline
起源年份	2004	1996	1958
提出者	Civil-war recurrence literature (e.g., Barbara F. Walter)	Daniel Jones, Stuart Bremer & J. David Singer (Correlates of War project)	Edward L. Kaplan and Paul Meier
类型	Survival/repeated-events analysis of renewed conflict	Coding and statistical analysis of interstate militarized confrontations	Method
开创性文献	Walter, B. F. (2004). Does conflict beget conflict? Explaining recurring civil war. Journal of Peace Research, 41(3), 371–388.	Jones, D. M., Bremer, S. A., & Singer, J. D. (1996). Militarized interstate disputes, 1816–1992: Rationale, coding rules, and empirical patterns. Conflict Management and Peace Science, 15(2), 163–213.	Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481.
别名	Recurring Civil War Analysis, Conflict Relapse Analysis, Repeated-Conflict Survival Analysis, Conflict Recidivism Analysis	MID Analysis, Militarized Dispute Coding, Correlates of War Dispute Analysis, Dyadic Conflict Onset Analysis	Kaplan-Meier analysis, Cox regression, TTE analysis
相关	3	3	3
摘要	Conflict recurrence analysis studies why and when conflicts that have ended return, treating renewed war as a time-to-event outcome. Most civil wars in recent decades have occurred in countries with a prior war, making recurrence a central puzzle. Using survival and repeated-events models — as in Barbara Walter's (2004) analysis of recurring civil war — researchers model the hazard that a post-conflict country relapses into violence as a function of how the war ended and the underlying conditions, while accounting for the fact that the same country can experience multiple conflict spells.	Militarized interstate dispute (MID) analysis is the coding and quantitative study of confrontations in which one state threatens, displays, or uses military force against another. Built on the Correlates of War project's MID dataset and the coding rules codified by Jones, Bremer, and Singer (1996), it provides the standard observational measure of interstate conflict short of and including war, structured as dyad-years so that the onset, escalation, and outcomes of disputes can be modeled statistically across two centuries of the international system.	Survival analysis is a collection of statistical methods for modeling time from a defined starting point until an event of interest occurs (disease, recovery, death, equipment failure). Kaplan and Meier's nonparametric estimator (1958) and David Cox's proportional hazards model (1972) jointly enabled analysis of censored data—individuals whose event times are unknown because they left the study or were still event-free at follow-up. Indispensable in oncology, cardiology, infectious disease research, engineering reliability, and any field where time-to-event matters.