Analysis of Gap Times Based on Panel Count Data With Informative Observation Times and Unknown Start Time

DOI10.1080/01621459.2016.1246369zbMath1398.62240OpenAlexW2538223476WikidataQ61853433 ScholiaQ61853433MaRDI QIDQ4690958

Rajeshwari Sundaram, Ling Ma

Publication date: 23 October 2018

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2027.42/146494

zbMATH Keywords

frailtysemiparametricnonhomogenous Poisson processunknown start time

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Nonparametric inference for reversed mean models with panel count data ⋮ Regression Analysis of Spatially Correlated Event Durations With Missing Origins Annotated by Longitudinal Measures ⋮ Weighted Rank Estimation for Random-Effects Monotonic Index Models With Panel Count Data ⋮ Sieve estimation of semiparametric accelerated mean models with panel count data ⋮ Semiparametric Regression Analysis of Panel Count Data: A Practical Review

Uses Software

• KernSmooth

Cites Work

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