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Militarized Interstate Dispute Analysis×生存分析×
领域International Relations研究统计学
方法族Process / pipelineProcess / pipeline
起源年份19961958
提出者Daniel Jones, Stuart Bremer & J. David Singer (Correlates of War project)Edward L. Kaplan and Paul Meier
类型Coding and statistical analysis of interstate militarized confrontationsMethod
开创性文献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. DOI ↗Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗
别名MID Analysis, Militarized Dispute Coding, Correlates of War Dispute Analysis, Dyadic Conflict Onset AnalysisKaplan-Meier analysis, Cox regression, TTE analysis
相关33
摘要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.
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ScholarGate方法对比: Militarized Interstate Dispute Analysis · Survival Analysis. 于 2026-06-25 检索自 https://scholargate.app/zh/compare