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Semiparametric normal transformation models for spatially correlated survival data
Li, Yi; Lin, Xihong - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 591-603
Persistent link: https://www.econbiz.de/10003334634
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A class of semiparametric mixture cure survival models with dependent censoring
Othus, Megan; Li, Yi; Tiwari, Ram C. - In: Journal of the American Statistical Association : JASA 104 (2009) 487, pp. 1241-1250
Persistent link: https://www.econbiz.de/10003902866
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Evaluating prediction rules for t-year survivors with censored regression models
Uno, Hajime; Cai, Tianxi; Tian, Lu; Wei, L. J. - In: Journal of the American Statistical Association : JASA 102 (2007) 478, pp. 527-537
Persistent link: https://www.econbiz.de/10003490373
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Implementation of estimating function-based inference procedures with Markov chain Monte Carlo samplers
Tian, Lu; Liu, Jun S.; Wei, L. J. - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 881-897
Persistent link: https://www.econbiz.de/10003567947
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Survival analysis with heterogeneous covariate measurement error
Li, Yi; Ryan, Louise - In: Journal of the American Statistical Association : JASA 99 (2004) 467, pp. 724-735
Persistent link: https://www.econbiz.de/10002242113
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On the cox model with time-varying regression coefficients
Tian, Lu; Zucker, David M.; Wei, L. J. - In: Journal of the American Statistical Association : JASA 100 (2005) 469, pp. 172-183
Persistent link: https://www.econbiz.de/10002703499
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More efficient local polynomial estimation in nonparametric regression with autocorrelated errors
Xiao, Zhijie; Linton, Oliver; Carroll, Raymond J.; … - In: Journal of the American Statistical Association : JASA 98 (2003) 464, pp. 980-992
Persistent link: https://www.econbiz.de/10001975429
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Functional inference in frailty measurement error models for clustered survival data using the SIMEX approach
Li, Yi; Lin, Xihong - In: Journal of the American Statistical Association : JASA 98 (2003) 461, pp. 191-203
Persistent link: https://www.econbiz.de/10001754849