Results 221 to 230 of about 58,413 (245)
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Applied Statistics, 1994
Summary: In grouped survival data, the study of the variation in the risk as a function of covariates depends on the chosen classes for the covariates. We present a method which allows us to take into account knowledge of the individual values of the covariates, for failed individuals only. The method is applied to the study of the relationship between
Huet, S., Kaddour, A.
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Summary: In grouped survival data, the study of the variation in the risk as a function of covariates depends on the chosen classes for the covariates. We present a method which allows us to take into account knowledge of the individual values of the covariates, for failed individuals only. The method is applied to the study of the relationship between
Huet, S., Kaddour, A.
openaire +4 more sources
Estimation and optimisation of right-censored data in survival analysis by neural network
International Journal of Business Information Systems, 2013The main topic in medical statistics is survival time. It is difficult to obtain complete data in studies of survival time because of several reasons. One aspect of such difficulty is related to death of all patients. A study is often completed before the death of all patients.
Mohammad Ali Azadeh +4 more
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Communications in Statistics - Theory and Methods, 1983
It is shown by simulation t h a t the (arc-sine transformation of the) Kaplan-Meier survival estimator for censored data can be usefully jackknifed to give conservative confidence limits for survival probabilities when samples are small (25 and 50). Mathematical demonstration of the asymptotic, large-sample, validity of the jackknife is included.
Donald P. Gaver, Rupert G. Miller
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It is shown by simulation t h a t the (arc-sine transformation of the) Kaplan-Meier survival estimator for censored data can be usefully jackknifed to give conservative confidence limits for survival probabilities when samples are small (25 and 50). Mathematical demonstration of the asymptotic, large-sample, validity of the jackknife is included.
Donald P. Gaver, Rupert G. Miller
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Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVE: To assess the validity and effectiveness of parameter estimation using a time-dependent Weibull proportional hazards model for survival analysis containing partly interval censored data and explore the impact of different covariates on the results of analysis.
Shuying, Wang +3 more
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OBJECTIVE: To assess the validity and effectiveness of parameter estimation using a time-dependent Weibull proportional hazards model for survival analysis containing partly interval censored data and explore the impact of different covariates on the results of analysis.
Shuying, Wang +3 more
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Health insurance status and cancer stage at diagnosis and survival in the United States
Ca-A Cancer Journal for Clinicians, 2022Jingxuan Zhao +2 more
exaly
Ensemble methods for survival function estimation with time-varying covariates
Statistical Methods in Medical Research, 2022Weichi Yao +2 more
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Comparison of parametric and semiparametric survival regression models with kernel estimation
Journal of Statistical Computation and Simulation, 2021Iveta Selingerová, Stanislav Katina
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On Improving Telemetry-Based Survival Estimation
Journal of Wildlife Management, 2006Dennis L Murray
exaly