The Annals of Statistics

Towards a general asymptotic theory for Cox model with staggered entry

Yannis Bilias, Minggao Gu, and Zhiliang Ying

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A general asymptotic theory is established for the two-parameter Cox score process with staggered entry data. It extends in several directions the existing theory developed by Sellke and Siegmund, Slud and Gu and Lai. An essential tool employed here is a modern empirical process theory, as elucidated in a recent monograph by Pollard.

Article information

Ann. Statist., Volume 25, Number 2 (1997), 662-682.

First available in Project Euclid: 12 September 2002

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Mathematical Reviews number (MathSciNet)

Zentralblatt MATH identifier

Primary: 62G20: Asymptotic properties
Secondary: 62E20: Asymptotic distribution theory 62J05: Linear regression

Proportional hazards regression partial likelihood score staggered entry empirical processes functional central limit theorem pseudodimension manageability random fields


Bilias, Yannis; Gu, Minggao; Ying, Zhiliang. Towards a general asymptotic theory for Cox model with staggered entry. Ann. Statist. 25 (1997), no. 2, 662--682. doi:10.1214/aos/1031833668.

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