SurvPresmooth: An R package for presmoothed estimation in survival analysis

Journal of Statistical Software

Volumn 54, Issue 11, 2013, Pages 1-26

  López de Ullibarri, Ignacio ^a   Amalia Jacome M ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Nonparametric estimation; Presmoothing; R

Indexed keywords

EID: 84884242950     PISSN: 15487660     EISSN: None     Source Type: Journal    
DOI: 10.18637/jss.v054.i11     Document Type: Article

References (38)

1. Aalen OO (1978). "Nonparametric Inference for a Family of Counting Processes." The Annals of Statistics, 6, 701-726.
2. Cai Z (1998). "Asymptotic Properties of Kaplan-Meier Estimator for Censored Dependent Data." Statistics & Probability Letters, 37, 381-389.
3. Cao R, Jácome MA (2004). "Presmoothed Kernel Density Estimator for Censored Data." Journal of Nonparametric Statistics, 16, 289-309.
4. Cao R, López-de-Ullibarri I (2007). "Product-Type and Presmoothed Hazard Rate Estimators with Censored Data." Test, 16, 355-382.
5. Cao R, López-de-Ullibarri I, Janssen P, Veraverbeke N (2005). "Presmoothed Kaplan-Meier and Nelson-Aalen Estimators." Journal of Nonparametric Statistics, 17, 31-56.
6. Chen Z (2000). "A New Two-Parameter Lifetime Distribution with Bathtub Shape or Increasing Failure Rate Function." Statistics & Probability Letters, 49, 155-161.
7. de Uña-Álvarez J, Rodríguez-Campos MC (2004). "Strong Consistency of Presmoothed Kaplan-Meier Integrals when Covariables Are Present." Statistics, 38, 483-496.
8. Dikta G (1998). "On Semiparametric Random Censorship Models." Journal of Statistical Planning and Inference, 66, 253-279.
9. Dikta G (2000). "The Strong Law under Semiparametric Random Censorship Models." Journal of Statistical Planning and Inference, 83, 1-10.
10. Dikta G (2001). "Weak Representation of the Cumulative Hazard Function under Semiparametric Censorship Models." Statistics, 35, 395-409.
11. Földes A, Rejtö L, Winter BB (1981). "Strong Consistency Properties of Nonparametric Estimators for Randomly Censored Data. II Estimation of Density and Failure Rate." Periodica Mathematica Hungarica, 12, 15-29.
12. Gasser T, Müller HG (1979). "Kernel Estimation of Regression Functions." In T Gasser, M Rosenblatt (eds.), Smoothing Techniques for Curve Estimation, volume 757 of Lecture Notes in Mathematics, pp. 23-68. Springer-Verlag.
13. Gasser T, Müller HG, Mammitzsch V (1985). "Kernels for Nonparametric Curve Estimation." Journal of the Royal Statistical Society B, 47, 238-252.
14. Hess K, Gentleman R (2010). muhaz: Hazard Function Estimation in Survival Analysis. R package version 1.2.5, URL http://CRAN.R-project.org/package=muhaz.
15. Iglesias-Pérez MC, de Uña-Álvarez J (2008). "Nonparametric Estimation of the Conditional Distribution Function in a Semiparametric Censorship Model." Journal of Statistical Planning and Inference, 138, 3044-3058.
16. Jácome MA (2005). Estimacióon Presuavizada de las Funciones de Densidad y Distribución con Datos Censurados. Ph.D. thesis, Universidade da Coru~na.
17. Jácome MA, Cao R (2007). "Almost Sure Asymptotic Representation for the Presmoothed Distribution and Density Estimators for Censored Data." Statistics, 41, 517-534.
18. Jácome MA, Cao R (2008). "Strong Representation of the Presmoothed Quantile Function Estimator for Censored Data." Statistica Neerlandica, 62, 425-440.
19. Jácome MA, Gijbels I, Cao R (2008). "Comparison of Presmoothing Methods in Kernel Density Estimation under Censoring." Computational Statistics, 23, 381-406.
20. Jácome MA, Iglesias-Pérez MC (2008). "Presmoothed Estimation with Left-Truncated and Right-Censored Data." Communications in Statistics - Theory and Methods, 37, 2964-2983.
21. Jácome MA, Iglesias-Pérez MC (2010). "Presmoothed Estimation of the Density Function with Truncated and Censored data." Statistics, 44, 217-234.
22. Kaplan EL, Meier P (1958). "Nonparametric Estimation from Incomplete Observations." Journal of the American Statistical Association, 53, 457-481.
23. Klein JP, Moeschberger ML (2003). Survival Analysis: Techniques for Censored and Trun-cated Data. Springer-Verlag.
24. Klein JP, Moeschberger ML, Yan J (2012). KMsurv: Data Sets from Klein and Moeschberger (1997), Survival Analysis. R package version 0.1-5, URL http://CRAN.R-project.org/package=KMsurv.
25. López-de-Ullibarri I, Jácome MA (2013). survPresmooth: Presmoothed Estimation in Survival Analysis. R package version 1.1-8, URL http://CRAN.R-project.org/package=survPresmooth.
26. Müller HG, Wang JL (1994). "Hazard Rate Estimation under Random Censoring with Varying Kernels and Bandwidths." Biometrics, 50, 61-76.
27. Nadaraya EA (1964). "On Estimating Regression." Theory of Probability and Its Applications, 10, 186-190.
28. Nelson W (1972). "Theory and Applications of Hazard Plotting for Censored Failure Data." Technometrics, 14, 945-965.
29. Parzen E (1962). "On Estimation of a Probability Density Function and Mode." The Annals of Mathematical Statistics, 33, 1065-1076.
30. Ramlau-Hansen H (1983). "Smoothing Counting Process Intensities by Means of Kernel Functions." The Annals of Statistics, 11, 453-466.
31. R Core Team (2013). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
32. Rosenblatt M (1956). "Remarks on Some Nonparametric Estimates of a Density Function." The Annals of Mathematical Statistics, 27, 832-837.
33. Sánchez-Sellero C, González-Manteiga W, Cao R (1999). "Bandwidth Selection in Density Estimation with Truncated and Censored Data." Annals of the Institute of Statistical Mathematics, 51, 51-70.
34. Stone M (1974). "Cross-Validatory Choice and Assessment of Statistical Predictions." Journal of the Royal Statistical Society B, 36, 111-147.
35. Tanner MA, Wong WH (1983). "The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method." The Annals of Statistics, 11, 989-993.
36. Watson GS (1964). "Smooth Regression Analysis." Shankya A, 26, 359-372.
37. Yandell BS (1983). "Nonparametric Inference for Rates with Censored Data." The Annals of Statistics, 11, 1119-1135.
38. Ying Z, Wei LJ (1994). "The Kaplan-Meier Estimate for Dependent Failure Time Observations." Journal of Multivariate Analysis, 50, 17-29.