bias-corrected estimatorsdata augmented estimatorincomplete dataKaplan-Meier estimatornonparametric reliability estimatorThe Kaplan‐Meier estimator (KME) is a classical nonparametric reliability estimator for incomplete data. Although it has been widely used, its two drawbacks have not been addressed well in...
where n2 = s1+s2-d1. The maximum likelihood estimators are: λ=(s1+s2)/2 (average cohort size), a1=d1/s1, and a2=d2/(s1+s2-d1). Those are the Kaplan-Meier estimators. Notice the formulas depend on cohort sizes s1 and s2? If the ships cohort rates differ, then the maximum l...
Table 3. Kaplan-Meier and maximum likelihood reliability estimators from table 2 data. They agree about as well as Excel and Solver can manage. Age, monthsKaplan-MeierMax. Likelihood 10.9990090.99901 20.997180.997187 30.9947890.994804 40.990480.990522 ...
A large sample study of the life table and product limit estimators under random censorship Ann. Statist., 2 (1974), pp. 437-453 Google Scholar 9 E.C. Brindley Jr., W.A. Thompson Jr. Dependence and aging aspects of multivariate survival J. Amer. Statist. Assoc., 67 (1972), pp. 82...
Kaplan-Meier and Nelson-Aalen estimatorsbiasmean-square-errorhazard functionproportional hazardsWeibull distributionUnder the assumption of random censoring, the exact bias and exact mean-square error of both the Kaplan-Meier estimator of the survival distribution and the Nelson-Aalen estimator of the ...
Kaplan-Meier estimators of distance distribution for spatial point processes For applications in spatial statistics, an important property of a random set X in Rk is its first contact distribution. This is the distribution of the di... A Baddeley,RD Gill - 《Annals of Statistics》 被引量: 140...
The method proposed here outperforms the Kaplan-Meier estimate, and it does better than or as well as other estimators based on stratification. The AKME... J Xie,C Liu - 《Statistics in Medicine》 被引量: 351发表: 2010年 The Mean, Median, and Confidence Intervals of the Kaplan-Meier Sur...
Strong and weak representations of cumulative hazard function and Kaplan–Meier estimators on increasing sets. J Stat Plan Inference 42: 315–329 Article MATH MathSciNet Google Scholar Stute W and Wang J-L (1993). The strong law under random censorship. Ann Stat 21: 1591–1607 Article ...
(2005). Presmoothed Kaplan-Meier and Nelson-Aalen estimators. J. Nonparametr. Stat. 17, 31-56.Cao, R., Lo´pez-de-Ullibarri, I,. Janssen, P. and Veraverbeke, N. (2005). Presmoothed Kaplan-Meier and Nelson-Aalen estimators, Journal of Non- parametric Statistics, 17, 31-56....
@@ -7,6 +7,7 @@ Non-parametric Estimators CensoringDistributionEstimator SurvivalFunctionEstimator cumulative_incidence_competing_risks ipc_weights kaplan_meier_estimator nelson_aalen_estimator 1 change: 1 addition & 0 deletions 1 sksurv/datasets/__init__.py Original file line numberDiff line numb...