Relevant bibliographies by topics / Nelson-Aalen estimator

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  2. Dissertations / Theses
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Academic literature on the topic 'Nelson-Aalen estimator'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 April 2022

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Journal articles on the topic "Nelson-Aalen estimator"

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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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Obed, Sami A., Parzhin A. Mohammed, and Dler H. Kadir. "The Estimation of (Covid-19) Cases in Kurdistan Region Using Nelson Aalen Estimator." Cihan University-Erbil Scientific Journal 5, no. 2 (2021): 24–31. http://dx.doi.org/10.24086/cuesj.v5n2y2021.pp24-31.

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It is described how the Nelson–Aalen estimator may be used to control the rate of a nonparametric estimate of the cumulative hazard rate function based on right censored as well as left condensed survival data, furthermore how the Nelson–Aalen estimator can be utilized to estimate various amounts. This technique is mostly applied to survival data and product quality data similar to the incorporated relative mortality in a multiplicative model with outer rates and the cumulative infection rate in a straightforward epidemic model. It is shown that tallying measures produce a structure that permi
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Jiang, R. "A bias-corrected Nelson-Aalen estimator." IOP Conference Series: Materials Science and Engineering 1043, no. 2 (2021): 022013. http://dx.doi.org/10.1088/1757-899x/1043/2/022013.

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NJOMEN, Didier Alain NJAMEN. "Convergence of the Nelson-Aalen Estimator in Competing Risks." International Journal of Statistics and Probability 6, no. 3 (2017): 9. http://dx.doi.org/10.5539/ijsp.v6n3p9.

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In this paper, we study the simple convergence and the uniform convergence of the Nelson-Aalen nonparametric estimator studied in Njamen $\&$ Ngatchou (Njamen $\&$ Ngatchou, 2014) in a contest of competiting risks.
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El-Nouty, Charles, and Rémi Lancar. "The Presmoothed Nelson–Aalen Estimator in the Competing Risk Model." Communications in Statistics - Theory and Methods 33, no. 1 (2005): 135–51. http://dx.doi.org/10.1081/sta-120026582.

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Peña, Edsel A., and Vijay K. Rohatgi. "Small sample and efficiency results for the Nelson-Aalen estimator." Journal of Statistical Planning and Inference 37, no. 2 (1993): 193–202. http://dx.doi.org/10.1016/0378-3758(93)90088-n.

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GUILLEN, MONTSERRAT, JENS P. NIELSEN, and ANA M. PEREZ-MARIN. "Improving the Efficiency of the Nelson?Aalen Estimator: the Naive Local Constant Estimator." Scandinavian Journal of Statistics 34, no. 2 (2007): 419–31. http://dx.doi.org/10.1111/j.1467-9469.2006.00541.x.

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Hu, Guanyu, and Fred Huffer. "Modified Kaplan–Meier Estimator and Nelson–Aalen Estimator with Geographical Weighting for Survival Data." Geographical Analysis 52, no. 1 (2019): 28–48. http://dx.doi.org/10.1111/gean.12185.

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ZORIN, A. V., A. D. TSODIKOV, G. M. ZHARINOV, and A. Y. YAKOVLEV. "THE SHAPE OF THE HAZARD FUNCTION IN CERVICAL CANCER SURVIVAL." Journal of Biological Systems 09, no. 03 (2001): 221–33. http://dx.doi.org/10.1142/s0218339001000360.

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The shape of the hazard function is of great interest in studies of the efficacy of cancer treatment and post-treatment cancer surveillance. We present estimates of the hazard rates obtained from data on survival of patients with cervical cancer and discuss associated methodological problems. Our study was carried out on survival data for 1826 women with cancer of the cervix uteri stratified by clinical stage and tumor growth pattern. We used nonparametric and various smoothing techniques for estimating the hazard function from the data; these were a nonparametric estimator based on the Nelson
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10

Hermawan, Toto, Dwi Nurrohmah, and Ismi Fathul Jannah. "Estimasi Fungsi Survival dan Fungsi Hazard Kumulatif Pada Data Survival Pederita Multiple Myeloma Serta Faktor-faktor yang Mempengaruhi Waktu Survivalnya." Intersections 4, no. 2 (2019): 33–43. http://dx.doi.org/10.47200/intersections.v4i2.507.

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Multiple myeloma is an infectious disease characterized by the accumulation of abnormal plasma cells, a type of white blood cell, in the bone marrow. The main objective of this data analysis is to investigate the effect of Bun, Ca, Pcells and Protein risk factors on the survival time of multiple myeloma patients from diagnosis to death. In the survival data analysis, the observed random variable T is the time needed to achieve success. To explain a random variable, the cumulative distribution function or the probability density function can be used. In survival analysis, the function of the ra
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Dissertations / Theses on the topic "Nelson-Aalen estimator"

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Galloway, Katherine Anne Forsyth. "Precedence-type test based on the Nelson-Aalen estimator of the cumulative hazard function." 2013. http://hdl.handle.net/1993/21696.

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In reliability studies, the goal is to gain knowledge about a product's failure times or life expectancy. Precedence tests do not require large sample sizes and are used in reliability studies to compare the life-time distributions from two samples. Precedence tests are useful since they provide reliable results early in a life-test and the surviving units can be used in other tests. Ng and Balakrishnan (2010) proposed a precedence-type test based on the Kaplan-Meier estimator of the cumulative distribution function. A precedence-type test based on the Nelson-Aalen estimator of the cumula
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Book chapters on the topic "Nelson-Aalen estimator"

1

Luo, Xiaodong, and Wei-Yann Tsai. "Conditional Nelson-Aalen and Kaplan-Meier Estimators with Müller-Wang Boundary Kernel." In Recent Advances in Biostatistics. WORLD SCIENTIFIC, 2011. http://dx.doi.org/10.1142/9789814329804_0004.

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