Nonparametric estimation of discrete hazard functions
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Publication:1126005
DOI10.1007/BF00128979zbMath0862.62039OpenAlexW2032111811WikidataQ53008273 ScholiaQ53008273MaRDI QIDQ1126005
Publication date: 29 May 1997
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf00128979
predictionkernel smoothingcovariatescompeting riskscross validationbootstrap confidence intervalsloss functionsdiscrete time failure data
Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)
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Uses Software
Cites Work
- Smoothing parameter selection in hazard estimation
- A note on the variable kernel estimator of the hazard function from randomly censored data
- The estimation of the hazard function from randomly censored data by the kernel method
- Nonparametric inference for rates with censored survival data
- Locally adaptive hazard smoothing
- Nonparametric curve estimation from time series
- Consistent nonparametric regression. Discussion
- Multivariate statistical modelling based on generalized linear models. With contributions by Wolfgang Hennevogl
- On cross-validation for discrete kernel estimates in discrimination
- An Extension of the Proportional-Hazards Model for Grouped Data
- Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve
- Kernel and Probit Estimates in Quantal Bioassay
- A class of smooth estimators for discrete distributions
- Multivariate binary discrimination by the kernel method
- On the Treatment of Grouped Observations in Life Studies
- A lofistic rlgression analysis of response-time data where the hazard function is time dependent
- Regression Analysis of Grouped Survival Data with Application to Breast Cancer Data
- Censored Regression: Local Linear Approximations and Their Applications
- Dynamic modelling and penalized likelihood estimation for discrete time survival data
- A Comparison of Certain Bootstrap Confidence Intervals in the Cox Model
- Group Duration Analysis of the Proportional Hazard Model: Minimum Chi-Squared Estimators and Specification Tests
- Hazard Rate Estimation under Random Censoring with Varying Kernels and Bandwidths
- Hazard analysis. I
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