Modeling sleep fragmentation in sleep hypnograms: an instance of fast, scalable discrete-state, discrete-time analyses

DOI10.1016/J.CSDA.2015.03.001zbMath1468.62187OpenAlexW1998593815WikidataQ36896097 ScholiaQ36896097MaRDI QIDQ1663248

Naresh M. Punjabi, Ciprian M. Crainiceanu, Bruce J. Swihart

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4865264

zbMATH Keywords

Poisson regressioncompeting risksstratifiedrecurrent eventmulti-statesleep-disordered breathing

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• Unnamed Item
• SAS
• cmprsk
• addreg
• crrSC

Cites Work

• Unnamed Item
• Competing Risks Regression for Stratified Data
• Competing risks regression for clustered data
• Modeling survival data: extending the Cox model
• Dynamic Analysis of Multivariate Failure Time Data
• The Analysis of Rates and of Survivorship Using Log-Linear Models
• Covariance Analysis of Censored Survival Data Using Log-Linear Analysis Techniques
• Life Tables with Concomitant Information
• A comparison between bootstrap methods and generalized estimating equations for correlated outcomes in generalized linear models
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Bayesian semi parametric multi-state models
• Nonparametric Signal Extraction and Measurement Error in the Analysis of Electroencephalographic Activity During Sleep

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