Semi-parametric survival analysis via Dirichlet process mixtures of the First Hitting Time model
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DOI: 10.1007/s10985-020-09514-0
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- Jialiang Li & Mei‐Ling Ting Lee, 2011. "Analysis of failure time using threshold regression with semi‐parametric varying coefficients," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(2), pages 164-182, May.
- Lu Tian & David Zucker & L.J. Wei, 2005. "On the Cox Model With Time-Varying Regression Coefficients," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 172-183, March.
- Tong Xingwei & He Xin & Sun Jianguo & Lee Mei-Ling T, 2008. "Joint Analysis of Current Status and Marker Data: An Extension of a Bivariate Threshold Model," The International Journal of Biostatistics, De Gruyter, vol. 4(1), pages 1-14, October.
- P. Economou & S. Malefaki & C. Caroni, 2015. "Bayesian Threshold Regression Model with Random Effects for Recurrent Events," Methodology and Computing in Applied Probability, Springer, vol. 17(4), pages 871-898, December.
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Cited by:
- Mei-Ling Ting Lee & G. A. Whitmore, 2023. "Semiparametric predictive inference for failure data using first-hitting-time threshold regression," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(3), pages 508-536, July.
- Chrys Caroni, 2022. "Regression Models for Lifetime Data: An Overview," Stats, MDPI, vol. 5(4), pages 1-11, December.
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Keywords
Bayesian methodology; Dirichlet process; Mixture models; Nonproportional hazards; Survival analysis; Threshold regression; Wiener process;All these keywords.
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