Survival estimation through the cumulative hazard function with monotone natural cubic splines
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Publication:746153
DOI10.1007/s10985-012-9218-4zbMath1322.62224OpenAlexW2053145369WikidataQ51407528 ScholiaQ51407528MaRDI QIDQ746153
Stelios D. Georgiou, Leonidas E. Bantis, John V. Tsimikas
Publication date: 15 October 2015
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-012-9218-4
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Related Items (4)
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Uses Software
Cites Work
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- Large-sample inference for log-spline models
- Survival analysis. Techniques for censored and truncated data.
- A study of logspline density estimation
- A Spline-Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval-Censored Data
- Nonparametric Estimation from Incomplete Observations
- Confidence Intervals for the Survival Function Using Cox's Proportional- Hazard Model with Covariates
- Monotone Piecewise Cubic Interpolation
- Inequality Constrained Least-Squares Estimation
- Conditional logspline density estimation
- A Two-Sample Test Sensitive to Crossing Hazards in Uncensored and Singly Censored Data
- Hazard Regression
- Drawing ellipses, hyperbolas or parabolas with a fixed number of points and maximum inscribed area
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