Biomedical Engineering Reference
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Commun. Statist.-Theory Meth., 31 (2002), 477-493.
94. C.S. Li and J.M.G. Taylor, A semi-parametric accelerated failure time cure
model, Stat. Med., 21 (2002), 3235-3247.
95. C.S. Li, Failure-time model, Encyclopedia of Biopharmaceutical Statistics,
(S.C. Chow, Ed.), pp.1-8, Marcel Dekker, New York, 2004.
96. E. Liebscher, Kernel density and hazard rate estimation for censored data
under -mixing condition, Ann. Inst. Statist. Math., 54 (2002), 19-28.
97. T.A. Louis, Nonparametric analysis of an accelerated failure time model,
Biometrika, 68 (1981), 381-390.
98. R.A. Maller and Z. Zhou, Survival Analysis with Long-term Survivors, John
Wiley, New York, 1996.
99. K. Messer and L. Goldstein, A new class of kernels for nonparametric curve
estimation, Ann. Statist., 21 (1993), 179-195.
100. H.G. Muller, Boundary eects in nonparametric curve estimation models,
CompStat, (T. Havranek, A. Sidak and M. Novak, Ed.), pp.84-89, Physica-
Verlag Wien., 1984.
101. H.G.
Muller,
Smooth
optimum
kernel
estimators
near
endpoints,
Biometrika, 78 (1991), 521-530.
102. H.G. Muller and J.L. Wang, Hazard rate estimation under random censoring
with varying kernels and bandwidths, Biometrics, 50 (1994), 61-76.
103. W. Nelson, Theory and applications of hazard plotting for censored failure
data, Technometrics, 14 (1972), 945-965.
104. D. Oakes, Biometrika centenary: survival analysis, Biometrika, 88 (2001),
99-142.
105. I. Olkin and C.H. Spiegelman, A semiparametric approach to density esti-
mation, J. Am. Stat. Assoc., 82 (1987), 858-865.
106. F. O'Sullivan, Fast computation of fully automated log-density and log-
hazard estimators, SIAM J. Sci. Statist. Comput., 9 (1988), 363-379.
107. F. O'Sullivan, Nonparametric estimation of relative risk using splines and
cross-validation, SIAM J. Sci. Statist. Comput., 9 (1988), 531-542.
108. F. O'Sullivan, Nonparametric estimation in the Cox model, Ann. Statist.,
21 (1993), 124-145.
109. W.J. Padgett and D.T. McNichols, Nonparametric density estimation from
censored data, Commun. Statist.-Theory Meth., 13 (1984), 1581-1611.
110. P. Patil, Nonparametric hazard rate estimation by orthogonal wavelet meth-
ods, J. Statist. Plan. and Inference, 60 (1997), 153-168.
111. Y. Peng and K.B.G. Dear, A nonparametric mixture model for cure rate
estimation, Biometrics, 56 (2000), 237-243.
112. R. Peto, Contribution to the discussion of paper by D.R. Cox, J. R. Stat.
Soc., B34 (1972), 205-207.
113. A.N. Pettitt and I.B. Daud, Investigating time dependence in Cox's propor-
tional hazards model, Appl. Statist., 39 (1990), 313-329.
114. R.L. Prentice, Linear rank tests with right censored data, Biometrika, 65
(1978), 167-179.
115. R.L. Prentice and J.D. Kalbeisch, Hazard rate models with covariates,
Biometrics, 35 (1979), 25-39.
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