Analysis of failure time using threshold regression with semi-parametric varying coefficients

Cites Work

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Proportional hazards and threshold regression: their theoretical and practical connections
Profile likelihood inferences on semiparametric varying-coefficient partially linear models
Simultaneous confidence band and hypothesis test in generalised varying-coefficient models
Hazard models with varying coefficients for multivariate failure time data
Failure inference from a marker process based on a bivariate Wiener model
The inverse Gaussian distribution. Statistical theory and applications
Statistical estimation in varying coefficient models
Variable bandwidth selection in varying-coefficient models
The jackknife and bootstrap
Testing for no effect in nonparametric regression
Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary
Simultaneous Confidence Bands and Hypothesis Testing in Varying-coefficient Models
Test of Significance Based on Wavelet Thresholding and Neyman's Truncation
A regression method for censored inverse-Gaussian data
Efficient estimation for semivarying-coefficient models
Partially Linear Hazard Regression with Varying Coefficients for Multivariate Survival Data
Bandwidth selection through cross-validation for semi-parametric varying-coefficient partially linear models
Weak and strong uniform consistency of kernel regression estimates
Generating Random Variates Using Transformations with Multiple Roots
X²goodness-of-fit tests for polynomial regression
A Model for Markers and Latent Health Status
Test of Significance When Data Are Curves
Testing goodness of fit via nonparametric function estimation techniques
Confidence interval for the bootstrapP-value and sample size calculation of the bootstrap test
Regression Modeling of Semicompeting Risks Data
Survival analysis with temporal covariate effects
Approximate and Asymptotic Distributions of Chi-Squared–Type Mixtures With Applications
Inverse Statistical Variates
Statistical models based on counting processes