The \(k\)-sample problem in a multi-state model and testing transition probability matrices

DOI10.1007/s10985-013-9267-3zbMath1356.62197OpenAlexW2040537092WikidataQ48234028 ScholiaQ48234028MaRDI QIDQ509834

H. Jalikop Vaman, Prabhanjan Narayanachar Tattar

Publication date: 21 February 2017

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-013-9267-3

zbMATH Keywords

influential observationsAalen-Johansen estimatormulti-state models\(k\)-sample problemnonhomogeneous Markov processtesting transition probability matrix

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03) Applications of continuous-time Markov processes on discrete state spaces (60J28)

Related Items (2)

Nonparametric tests for multistate processes with clustered data ⋮ Nonparametric tests for transition probabilities in nonhomogeneous Markov processes

Uses Software

• R
• invGauss
• etm

Cites Work

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• Statistical models based on counting processes

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