Relevant bibliographies by topics / Estimation de Kaplan-Meier

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Academic literature on the topic 'Estimation de Kaplan-Meier'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Estimation de Kaplan-Meier"

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Ozguven, Eren Erman, and Kaan Ozbay. "Nonparametric Bayesian Estimation of Freeway Capacity Distribution from Censored Observations." Transportation Research Record: Journal of the Transportation Research Board 2061, no. 1 (2008): 20–29. http://dx.doi.org/10.3141/2061-03.

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Previous studies have been made of the usefulness and effectiveness of survival analysis in transportation and traffic engineering studies with incomplete data in which the Kaplan–Meier estimate is proposed for determining traffic capacity distribution. However, well-known estimators like Kaplan–Meier and Nelson–Aalen have several disadvantages that make it difficult to obtain the traffic capacity distribution. First, neither estimator is defined for all values of traffic flows possible. That is, the maximum flow followed by a breakdown defines the final point of the estimated distribution cur
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Khan, Md Hasinur Rahaman, and J. Ewart H. Shaw. "Robust bias estimation for Kaplan–Meier survival estimator with jackknifing." Journal of Statistical Theory and Practice 10, no. 1 (2015): 7–19. http://dx.doi.org/10.1080/15598608.2015.1062833.

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Kim, Choongrak, Whasoo Bae, Hyemi Choi, and Byeong U. Park. "Non-parametric hazard function estimation using the Kaplan–Meier estimator." Journal of Nonparametric Statistics 17, no. 8 (2005): 937–48. http://dx.doi.org/10.1080/10485250500337138.

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Dhar, D. "Estimation of Survival Function Under Random Censorship." Calcutta Statistical Association Bulletin 42, no. 1-2 (1992): 75–86. http://dx.doi.org/10.1177/0008068319920105.

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The paper deals with the estimation of survival function of a particular random variable of interest in proportional hazard model of random censorship under the condition that data are randomly censored by k independent variables. Estimators are constructed using results from Abdushukurov (1984), Cheng and Lin (1984), Ebrahimi (1985) and Kaplan and Meier (1958). The asymptotic behaviour of all these estimators is investigated. Numerical results are provided to calculate the efficiencies of ACL and Ebrahimi's estimators in comparsion to classical Kaplan-Meier (1958) estimator.
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Nematolahi, Samane, Sahar Nazari, Zahra Shayan, Seyyed Mohammad Taghi Ayatollahi, and Ali Amanati. "Improved Kaplan-Meier Estimator in Survival Analysis Based on Partially Rank-Ordered Set Samples." Computational and Mathematical Methods in Medicine 2020 (May 31, 2020): 1–11. http://dx.doi.org/10.1155/2020/7827434.

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This study presents a novel methodology to investigate the nonparametric estimation of a survival probability under random censoring time using the ranked observations from a Partially Rank-Ordered Set (PROS) sampling design and employs it in a hematological disorder study. The PROS sampling design has numerous applications in medicine, social sciences and ecology where the exact measurement of the sampling units is costly; however, sampling units can be ordered by using judgment ranking or available concomitant information. The general estimation methods are not directly applicable to the cas
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Prentice, Ross L., and Shanshan Zhao. "Nonparametric estimation of the multivariate survivor function: the multivariate Kaplan–Meier estimator." Lifetime Data Analysis 24, no. 1 (2016): 3–27. http://dx.doi.org/10.1007/s10985-016-9383-y.

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Wu, Qunying, and Pingyan Chen. "A Berry-Esseen Type Bound in Kernel Density Estimation for Negatively Associated Censored Data." Journal of Applied Mathematics 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/541250.

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We discuss the kernel estimation of a density function based on censored data when the survival and the censoring times form the stationary negatively associated (NA) sequences. Under certain regularity conditions, the Berry-Esseen type bounds are derived for the kernel density estimator and the Kaplan-Meier kernel density estimator at a fixed pointx.
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Hansen, Martin B., and Erik W. van Zwet. "Nonparametric estimation of the chord length distribution." Advances in Applied Probability 33, no. 03 (2001): 541–58. http://dx.doi.org/10.1017/s0001867800010983.

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The distribution of the length of a typical chord of a stationary random set is an interesting feature of the set's whole distribution. We give a nonparametric estimator of the chord length distribution and prove its strong consistency. We report on a simulation experiment in which our estimator compared favourably to a reduced sample estimator. Both estimators are illustrated by applying them to an image sample from a yoghurt ferment. We briefly discuss the closely related problem of estimation of the linear contact distribution. We show by a simulation experiment that a transformation of our
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Hansen, Martin B., and Erik W. van Zwet. "Nonparametric estimation of the chord length distribution." Advances in Applied Probability 33, no. 3 (2001): 541–58. http://dx.doi.org/10.1239/aap/1005091351.

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The distribution of the length of a typical chord of a stationary random set is an interesting feature of the set's whole distribution. We give a nonparametric estimator of the chord length distribution and prove its strong consistency. We report on a simulation experiment in which our estimator compared favourably to a reduced sample estimator. Both estimators are illustrated by applying them to an image sample from a yoghurt ferment. We briefly discuss the closely related problem of estimation of the linear contact distribution. We show by a simulation experiment that a transformation of our
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CAMPIGOTTO, F., D. NEUBERG, and J. I. ZWICKER. "Biased estimation of thrombosis rates in cancer studies using the method of Kaplan and Meier." Journal of Thrombosis and Haemostasis 10, no. 7 (2012): 1449–51. http://dx.doi.org/10.1111/j.1538-7836.2012.04766.x.

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Dissertations / Theses on the topic "Estimation de Kaplan-Meier"

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Takam, Soh Patrice. "Estimation de la loi de la durée de séjour en présence d'une censure post-évènement d'intérêt. : Application à la croissance des fruits du cacaoyer et modélisation du risque d'attaque par la pourriture brune au Cameroun." Thesis, Montpellier 2, 2011. http://www.theses.fr/2011MON20163/document.

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Nous nous sommes intéressés dans cette étude à l'estimation de la loi de la durée de séjour en prenant en compte les individus sur lesquels l'évènement d'intérêt et la censure peuvent se produire dans un même intervalle et être observés. Pour cela, nous avons proposé deux approches d'estimation non paramétrique basées sur une approximation asymptotique quand la longueur de l'intervalle entre deux dates consécutives d'observation tend vers 0. La première est basée sur une relation intégrale et la deuxième est basée sur une restauration des durées de séjour. Nous nous sommes servis de ces approc
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Jiang, Yong. "Estimation of Hazard Function for Right Truncated Data." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/94.

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This thesis centers on nonparametric inferences of the cumulative hazard function of a right truncated variable. We present three variance estimators for the Nelson-Aalen estimator of the cumulative hazard function and conduct a simulation study to investigate their performances. A close match between the sampling standard deviation and the estimated standard error is observed when an estimated survival probability is not close to 1. However, the problem of poor tail performance exists due to the limitation of the proposed variance estimators. We further analyze an AIDS blood transfusion sampl
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Svoboda, Martin. "Neparametrické odhady rozdělení doby přežití." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-10935.

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This work introduces nonparametric models which are used in time to event data analysis. It is focused on applying these methods in medicine where it is called survival analysis. The basic techniques and problems, which can appear in survival analysis, are presented and explained here. The Kaplan -- Meier estimator of survival function is discussed in the main part. This is the most frequented method used for estimating the survival function in patients who have undergone a specific treatment. The Kaplan -- Meier estimator is also a common device in the statistical packets. In addition to esti
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Ferrani, Yacine. "Sur l'estimation non paramétrique de la densité et du mode dans les modèles de données incomplètes et associées." Thesis, Littoral, 2014. http://www.theses.fr/2014DUNK0370/document.

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Cette thèse porte sur l'étude des propriétés asymptotiques d'un estimateur non paramétrique de la densité de type Parzen-Rosenblatt, sous un modèle de données censurées à droite, vérifiant une structure de dépendance de type associé. Dans ce cadre, nous rappelons d'abord les résultats existants, avec détails, dans les cas i.i.d. et fortement mélangeant (α-mélange). Sous des conditions de régularité classiques, il est établi que la vitesse de coonvergence uniforme presque sûre de l'estimateur étudié, est optimale. Dans la partie dédiée aux résultats de cette thèse, deux résultats principaux et
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Grosclaude, Pascale. "Mesure de la survie des patients cancéreux en population à partir des registres de cancers : intérêts et limites." Paris 11, 2000. http://www.theses.fr/2000PA11T051.

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Les registres de population doivent donner des indications fiables et non biaisées sur les besoins de prise en charge et sur les performances du système de soins. L'étude de la survie occupe une position centrale dans la construction des indicateurs de santé. Les analyses de survie en population diffèrent de celles issues des essais thérapeutiques par les méthodes d'analyse et par des biais spécifiques qui sont étudiés dans ce travail et illustrés d'exemples. La survie relative est la méthode la plus utilisée. Dans les comparaisons, une attention particulière doit donc être portée à la mortali
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Horrigue, Walid. "Prévision non paramétrique dans les modèles de censure via l'estimation du quantile conditionnel en dimension infinie." Thesis, Littoral, 2012. http://www.theses.fr/2012DUNK0511.

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Dans cette thèse, nous étudions les propriétés asymptotiques de paramètres fonctionnels conditionnels en statistique non paramétrique, quand la variable explicative prend ses valeurs dans un espace de dimension infinie. Dans ce cadre non paramétrique, on considère les estimateurs des paramètres fonctionnels usuels, tels la loi conditionnelle, la densité de probabilité conditionnelle, ainsi que le quantile conditionnel. Le premier travail consiste à proposer un estimateur du quantile conditionnel et de prouver sa convergence uniforme sur un sous-ensemble compact. Afin de suivre la convention da
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Gassama, Malamine. "Estimation du risque attribuable et de la fraction préventive dans les études de cohorte." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLV131/document.

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Le risque attribuable (RA) mesure la proportion de cas de maladie qui peuvent être attribués à une exposition au niveau de la population. Plusieurs définitions et méthodes d'estimation du RA ont été proposées pour des données de survie. En utilisant des simulations, nous comparons quatre méthodes d'estimation du RA dans le contexte de l'analyse de survie : deux méthodes non paramétriques basées sur l'estimateur de Kaplan-Meier, une méthode semi-paramétrique basée sur le modèle de Cox à risques proportionnels et une méthode paramétrique basée sur un modèle à risques proportionnels avec un risqu
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Detais, Amélie. "Maximum de vraisemblance et moindre carrés pénalisés dans des modèles de durée de vie censurées." Toulouse 3, 2008. http://thesesups.ups-tlse.fr/820/.

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L'analyse de durées de vie censurées est utilisée dans des domaines d'application variés et différentes possibilités ont été proposées pour la modélisation de telles données. Nous nous intéressons dans cette thèse à deux types de modélisation différents, le modèle de Cox stratifié avec indicateurs de strates aléatoirement manquants et le modèle de régression linéaire censuré à droite. Nous proposons des méthodes d'estimation des paramètres et établissons les propriétés asymptotiques des estimateurs obtenus dans chacun de ces modèles. Dans un premier temps, nous considérons une généralisation d
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Mota, Rosa Maria Salani. "Respondent driven sampling (RDS) aplicado à população de homens que fazem sexo com homens no Brasil." reponame:Repositório Institucional da UFC, 2012. http://www.repositorio.ufc.br/handle/riufc/7116.

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MOTA, Rosa Maria Salani. Respondent Driven Sampling (RDS) aplicado à população de homens que fazem sexo com homens no Brasil. 2012. 189 f. Tese (Doutorado em Saúde Pública) - Universidade Federal do Ceará. Faculdade de Medicina, Fortaleza, 2012.<br>Submitted by denise santos (denise.santos@ufc.br) on 2014-01-13T11:52:45Z No. of bitstreams: 1 2012_tese_rmsmota.pdf: 6131750 bytes, checksum: cb9fb63c55db61f8c6b8276aaa755008 (MD5)<br>Approved for entry into archive by denise santos(denise.santos@ufc.br) on 2014-01-13T11:53:07Z (GMT) No. of bitstreams: 1 2012_tese_rmsmota.pdf: 6131750 bytes, check
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Fontenelle, OtÃvio Fernandes. "Survival Analysis; Micro and Small Enterprises; Modeling Survival Data, Data Characterization Survival; parametric Estimator KAPLAN-MEIER." Universidade Federal do CearÃ, 2009. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=4173.

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nÃo hÃ<br>The main objective of this research is to explore economics issues that may induce impact on lifetime of small businesses during 2002 to 2006. The group of enterprises studied was selected from database of taxpayers recorded at fiscal authority of State of CearÃ. To do that, the methodology was focused on a branch of statistics which deals with survival analysis, called duration analysis or duration modeling in economics. It was applied non-linear model whose non-parametric estimator chosen was KAPLAN-MEIER. Through that methodology, it was developed sceneries based on the following
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Books on the topic "Estimation de Kaplan-Meier"

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Cheng, Russell. Change-Point Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0011.

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This chapter investigates change-point (hazard rate) probability models for the random survival time in some population of interest. A parametric probability distribution is assumed with parameters to be estimated from a sample of observed survival times. If a change-point parameter, denoted by τ‎, is included to represent the time at which there is a discrete change in hazard rate, then the model is non-standard. The profile log-likelihood, with τ‎ as profiling parameter, has a discontinuous jump at every τ‎ equal to a sampled value, becoming unbounded as τ‎ tends to the largest observation.
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Luo, Dali. Some properties of the Kaplan-Meier estimator and a method to find system reliability. 1992.

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Book chapters on the topic "Estimation de Kaplan-Meier"

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Breslow, N. E. "Introduction to Kaplan and Meier (1958) Nonparametric Estimation from Incomplete Observations." In Springer Series in Statistics. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-4380-9_24.

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Gijbels, Irène. "Kaplan-Meier Estimator." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_322.

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Jiang, Hongyu, and Jason Fine. "Kaplan–Meier Estimator." In Encyclopedia of Biopharmaceutical Statistics, Third Edition. CRC Press, 2012. http://dx.doi.org/10.1201/b14674-112.

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Jiang, Hongyu, and Jason Fine. "Kaplan–Meier Estimator." In Encyclopedia of Biopharmaceutical Statistics. Informa Healthcare, 2010. http://dx.doi.org/10.3109/9781439822463.111.

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Tang, Xinyu. "Kaplan–Meier Estimator." In Handbook for Clinical Research. Springer Publishing Company, 2014. http://dx.doi.org/10.1891/9781617050992.0040.

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Jiang, Hongyu, and Jason Fine. "Kaplan–Meier Estimator." In Encyclopedia of Biopharmaceutical Statistics, Second edition. CRC Press, 2003. http://dx.doi.org/10.1201/b14760-78.

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"Kaplan–Meier Product Limit Estimator." In Encyclopedia of Cancer. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-46875-3_101277.

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"Kaplan–Meier Product Limit Estimator." In Encyclopedia of Cancer. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16483-5_3195.

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"Kaplan–Meier estimator (product-limit estimator) for F." In Statistical Methods with Applications to Demography and Life Insurance. Chapman and Hall/CRC, 2013. http://dx.doi.org/10.1201/b14074-11.

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"Large Sample Results for the Kaplan-Meier Estimator." In Counting Processes and Survival Analysis. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118150672.ch6.

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Conference papers on the topic "Estimation de Kaplan-Meier"

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Jiang, Renyan. "A Bias-Corrected Kaplan-Meier Estimator." In 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM). IEEE, 2020. http://dx.doi.org/10.1109/aparm49247.2020.9209357.

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Reports on the topic "Estimation de Kaplan-Meier"

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Lo, S. H., Y. P. Mack, and J. L. Wang. Hazard Rate Estimation for Censored Data via Strong Representation of the Kaplan-Meier Estimator. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada172031.

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Hollander, Myles, Frank Proschan, and James Sconing. Efficiency Loss with the Kaplan-Meier Estimator. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada161341.

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