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Relevant bibliographies by topics / Buckley-James regression

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Academic literature on the topic 'Buckley-James regression'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Buckley-James regression"

1

Fang, Kai-Tai, Gang Li, Xuyang Lu, and Hong Qin. "An Empirical Likelihood Method for Semiparametric Linear Regression with Right Censored Data." Computational and Mathematical Methods in Medicine 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/469373.

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This paper develops a new empirical likelihood method for semiparametric linear regression with a completely unknown error distribution and right censored survival data. The method is based on the Buckley-James (1979) estimating equation. It inherits some appealing properties of the complete data empirical likelihood method. For example, it does not require variance estimation which is problematic for the Buckley-James estimator. We also extend our method to incorporate auxiliary information. We compare our method with the synthetic data empirical likelihood of Li and Wang (2003) using simulat

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2

Lin, J. S., and L. J. Wei. "Linear Regression Analysis Based on Buckley-James Estimating Equation." Biometrics 48, no. 3 (September 1992): 679. http://dx.doi.org/10.2307/2532335.

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3

Cheng, Jung-Yu, and Shinn-Jia Tzeng. "Buckley–James-type estimation of quantile regression with recurrent gap time data." Journal of Applied Statistics 42, no. 7 (January 8, 2015): 1383–401. http://dx.doi.org/10.1080/02664763.2014.999654.

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4

SMITH, PETER J. "USING LINEAR REGRESSION TECHNIQUES WITH CENSORED DATA." International Journal of Reliability, Quality and Safety Engineering 11, no. 02 (June 2004): 163–73. http://dx.doi.org/10.1142/s0218539304001427.

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In survival analysis, proportional hazards models are commonly used in a distribution-free way for regression where the response variable has been right-censored. However, often a simple linear model may be more appropriate for the data. We present an overview of the linear regression method of Buckley and James (1979) as an interesting distribution-free alternative. It is a method providing consistent parameter estimates, and, through simulation, has been successfully appraised in the literature in comparison to other regression methods. The model is fitted iteratively, and censored points in

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5

Cheng, Jung-Yu, and Shinn-Jia Tzeng. "Quantile regression of right-censored length-biased data using the Buckley–James-type method." Computational Statistics 29, no. 6 (May 31, 2014): 1571–92. http://dx.doi.org/10.1007/s00180-014-0507-0.

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6

Lai, Tze Leung, and Zhiliang Ying. "Large Sample Theory of a Modified Buckley-James Estimator for Regression Analysis with Censored Data." Annals of Statistics 19, no. 3 (September 1991): 1370–402. http://dx.doi.org/10.1214/aos/1176348253.

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7

Stare, Janez, Frank E. Harrell, and Harald Heinzl. "BJ: an S-Plus program to fit linear regression models to censored data using the Buckley–James method." Computer Methods and Programs in Biomedicine 64, no. 1 (January 2001): 45–52. http://dx.doi.org/10.1016/s0169-2607(00)00083-3.

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8

Allers, E., E. Allers, O. A. Betancourt, J. Benson-Martin, P. Buckley, P. Buckley, I. Chetty, et al. "SASOP Biological Psychiatry Congress 2013 Abstracts." South African Journal of Psychiatry 19, no. 3 (August 30, 2013): 36. http://dx.doi.org/10.4102/sajpsychiatry.v19i3.473.

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<p><strong>List of abstracts and authors:</strong></p><p><strong>1. Bipolar disorder not otherwise specified -overdiagnosed or underdiagnosed?</strong></p><p>E Allers</p><p><strong>2. The prognosis of major depression untreated and treated: Does the data reflect the true picture of the prognosis of this very common disorder?</strong></p><p>E Allers</p><p><strong>3. Can we prolong our patients' life expectancy? Providing a better quality of life for patients with severe mental illness<

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Dissertations / Theses on the topic "Buckley-James regression"

1

Kong, Fanhui. "Asymptotic distributions of Buckley-James estimator." Online access via UMI:, 2005.

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2

Glasson, Samuel, and sglas@iinet net au. "Censored Regression Techniques for Credit Scoring." RMIT University. Mathematical and Geospatial Sciences, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080212.151610.

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This thesis investigates the use of newly-developed survival analysis tools for credit scoring. Credit scoring techniques are currently used by financial institutions to estimate the probability of a customer defaulting on a loan by a predetermined time in the future. While a number of classification techniques are currently used, banks are now becoming more concerned with estimating the lifetime of the loan rather than just the probability of default. Difficulties arise when using standard statistical techniques due to the presence of censoring in the data. Survival analysis, originating from

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3

Chen, Cuixian. "Asymptotic properties of the Buckley-James estimator for a bivariate interval censorship regression model." Diss., Online access via UMI:, 2007.

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