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Dept: Statistics

You searched for subject:(censored data). Showing records 1 – 18 of 18 total matches.

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North Carolina State University

1. Shows, Justin Hall. Sparse Estimation and Inference for Censored Median Regression.

Degree: PhD, Statistics, 2009, North Carolina State University

Censored median regression models have been shown to be useful for analyzing a variety of censored survival data with the robustness property. We study sparse… (more)

Subjects/Keywords: censored data; median regression; variable selection

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APA (6th Edition):

Shows, J. H. (2009). Sparse Estimation and Inference for Censored Median Regression. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5565

Chicago Manual of Style (16th Edition):

Shows, Justin Hall. “Sparse Estimation and Inference for Censored Median Regression.” 2009. Doctoral Dissertation, North Carolina State University. Accessed June 03, 2020. http://www.lib.ncsu.edu/resolver/1840.16/5565.

MLA Handbook (7th Edition):

Shows, Justin Hall. “Sparse Estimation and Inference for Censored Median Regression.” 2009. Web. 03 Jun 2020.

Vancouver:

Shows JH. Sparse Estimation and Inference for Censored Median Regression. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2020 Jun 03]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5565.

Council of Science Editors:

Shows JH. Sparse Estimation and Inference for Censored Median Regression. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5565


Virginia Tech

2. Olteanu, Denisa Anca. Cumulative Sum Control Charts for Censored Reliability Data.

Degree: PhD, Statistics, 2010, Virginia Tech

 Companies routinely perform life tests for their products. Typically, these tests involve running a set of products until the units fail. Most often, the data(more)

Subjects/Keywords: Censored Data; CUSUM Charts; Lifetime Data; Multinomial Distribution; Weibull Distribution

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APA (6th Edition):

Olteanu, D. A. (2010). Cumulative Sum Control Charts for Censored Reliability Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26665

Chicago Manual of Style (16th Edition):

Olteanu, Denisa Anca. “Cumulative Sum Control Charts for Censored Reliability Data.” 2010. Doctoral Dissertation, Virginia Tech. Accessed June 03, 2020. http://hdl.handle.net/10919/26665.

MLA Handbook (7th Edition):

Olteanu, Denisa Anca. “Cumulative Sum Control Charts for Censored Reliability Data.” 2010. Web. 03 Jun 2020.

Vancouver:

Olteanu DA. Cumulative Sum Control Charts for Censored Reliability Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Jun 03]. Available from: http://hdl.handle.net/10919/26665.

Council of Science Editors:

Olteanu DA. Cumulative Sum Control Charts for Censored Reliability Data. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/26665


The Ohio State University

3. Yu, Lili. Variable selection in the general linear model for censored data.

Degree: PhD, Statistics, 2007, The Ohio State University

 Variable selection is a popular topic in statistics today. However, for right censored data, only a few methods are available. The principle method assumes that… (more)

Subjects/Keywords: Statistics; LASSO; seive likelihood; model selection; right censored data

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APA (6th Edition):

Yu, L. (2007). Variable selection in the general linear model for censored data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1173279515

Chicago Manual of Style (16th Edition):

Yu, Lili. “Variable selection in the general linear model for censored data.” 2007. Doctoral Dissertation, The Ohio State University. Accessed June 03, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1173279515.

MLA Handbook (7th Edition):

Yu, Lili. “Variable selection in the general linear model for censored data.” 2007. Web. 03 Jun 2020.

Vancouver:

Yu L. Variable selection in the general linear model for censored data. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2020 Jun 03]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1173279515.

Council of Science Editors:

Yu L. Variable selection in the general linear model for censored data. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1173279515


University of South Carolina

4. Zheng, Qiang. Statistical Analysis of Interval-Censored Data Subject to Additional Complications.

Degree: PhD, Statistics, 2019, University of South Carolina

  Survival analysis is an important branch of statistics that studies time to event data (or survival data), in which the response variable is time… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; survival data and analysis; interval-censored data analysis; additional complication; proportional hazards model; arbitrarily-censored data; current status data

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APA (6th Edition):

Zheng, Q. (2019). Statistical Analysis of Interval-Censored Data Subject to Additional Complications. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5390

Chicago Manual of Style (16th Edition):

Zheng, Qiang. “Statistical Analysis of Interval-Censored Data Subject to Additional Complications.” 2019. Doctoral Dissertation, University of South Carolina. Accessed June 03, 2020. https://scholarcommons.sc.edu/etd/5390.

MLA Handbook (7th Edition):

Zheng, Qiang. “Statistical Analysis of Interval-Censored Data Subject to Additional Complications.” 2019. Web. 03 Jun 2020.

Vancouver:

Zheng Q. Statistical Analysis of Interval-Censored Data Subject to Additional Complications. [Internet] [Doctoral dissertation]. University of South Carolina; 2019. [cited 2020 Jun 03]. Available from: https://scholarcommons.sc.edu/etd/5390.

Council of Science Editors:

Zheng Q. Statistical Analysis of Interval-Censored Data Subject to Additional Complications. [Doctoral Dissertation]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5390


Virginia Tech

5. Dickinson, Rebecca. Statistical Methods for Improving and Maintaining Product Reliability.

Degree: PhD, Statistics, 2014, Virginia Tech

 When a reliability experiment is used, practitioners can understand better what lifetimes to expect of a product under different operating conditions and what factors are… (more)

Subjects/Keywords: Censored Data; CUSUM Chart; Design of Experiments; Lifetime Monitoring; Reliability; Split-Plot Design; Weibull Distribution

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APA (6th Edition):

Dickinson, R. (2014). Statistical Methods for Improving and Maintaining Product Reliability. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50516

Chicago Manual of Style (16th Edition):

Dickinson, Rebecca. “Statistical Methods for Improving and Maintaining Product Reliability.” 2014. Doctoral Dissertation, Virginia Tech. Accessed June 03, 2020. http://hdl.handle.net/10919/50516.

MLA Handbook (7th Edition):

Dickinson, Rebecca. “Statistical Methods for Improving and Maintaining Product Reliability.” 2014. Web. 03 Jun 2020.

Vancouver:

Dickinson R. Statistical Methods for Improving and Maintaining Product Reliability. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Jun 03]. Available from: http://hdl.handle.net/10919/50516.

Council of Science Editors:

Dickinson R. Statistical Methods for Improving and Maintaining Product Reliability. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/50516


University of Florida

6. Huang, Lei. Survival And Reliability Analysis Under Polya Tree Processes Priors.

Degree: PhD, Statistics, 2013, University of Florida

 The thesis consists of three components, which are related to survival and lifetime data analysis. We propose a Bayesian nonparametric approach to testing treatment effects… (more)

Subjects/Keywords: Censored data; Censorship; Data analysis; Null hypothesis; Reliability functions; Sample size; Simulations; Statistical estimation; Statistical models; Statistics; nonparametric  – survival

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APA (6th Edition):

Huang, L. (2013). Survival And Reliability Analysis Under Polya Tree Processes Priors. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0045745

Chicago Manual of Style (16th Edition):

Huang, Lei. “Survival And Reliability Analysis Under Polya Tree Processes Priors.” 2013. Doctoral Dissertation, University of Florida. Accessed June 03, 2020. https://ufdc.ufl.edu/UFE0045745.

MLA Handbook (7th Edition):

Huang, Lei. “Survival And Reliability Analysis Under Polya Tree Processes Priors.” 2013. Web. 03 Jun 2020.

Vancouver:

Huang L. Survival And Reliability Analysis Under Polya Tree Processes Priors. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Jun 03]. Available from: https://ufdc.ufl.edu/UFE0045745.

Council of Science Editors:

Huang L. Survival And Reliability Analysis Under Polya Tree Processes Priors. [Doctoral Dissertation]. University of Florida; 2013. Available from: https://ufdc.ufl.edu/UFE0045745


University of South Carolina

7. Wu, Haifeng. Frailty Probit Models for Clustered Interval-Censored Failure Time Data.

Degree: PhD, Statistics, 2016, University of South Carolina

  Survival analysis is an important branch of statistics that deals with time to event data or survival data. An important feature of such data(more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Fraily Probit Models; Clustered; Interval-Censored Failure Time data

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APA (6th Edition):

Wu, H. (2016). Frailty Probit Models for Clustered Interval-Censored Failure Time Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3559

Chicago Manual of Style (16th Edition):

Wu, Haifeng. “Frailty Probit Models for Clustered Interval-Censored Failure Time Data.” 2016. Doctoral Dissertation, University of South Carolina. Accessed June 03, 2020. https://scholarcommons.sc.edu/etd/3559.

MLA Handbook (7th Edition):

Wu, Haifeng. “Frailty Probit Models for Clustered Interval-Censored Failure Time Data.” 2016. Web. 03 Jun 2020.

Vancouver:

Wu H. Frailty Probit Models for Clustered Interval-Censored Failure Time Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2020 Jun 03]. Available from: https://scholarcommons.sc.edu/etd/3559.

Council of Science Editors:

Wu H. Frailty Probit Models for Clustered Interval-Censored Failure Time Data. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3559


University of South Carolina

8. Islam, Farahnaz. Parametric Reversed Hazards Model for Left Censored Data with Application to HIV.

Degree: MS, Statistics, 2016, University of South Carolina

  Left censoring is generally a rare type of censoring in time-to-event data, however there are some fields such as HIV related studies where it… (more)

Subjects/Keywords: Biostatistics; Physical Sciences and Mathematics; Statistics and Probability; Parametric Reversed; Hazards Model; Left Censored Data; Application to HIV

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APA (6th Edition):

Islam, F. (2016). Parametric Reversed Hazards Model for Left Censored Data with Application to HIV. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3890

Chicago Manual of Style (16th Edition):

Islam, Farahnaz. “Parametric Reversed Hazards Model for Left Censored Data with Application to HIV.” 2016. Masters Thesis, University of South Carolina. Accessed June 03, 2020. https://scholarcommons.sc.edu/etd/3890.

MLA Handbook (7th Edition):

Islam, Farahnaz. “Parametric Reversed Hazards Model for Left Censored Data with Application to HIV.” 2016. Web. 03 Jun 2020.

Vancouver:

Islam F. Parametric Reversed Hazards Model for Left Censored Data with Application to HIV. [Internet] [Masters thesis]. University of South Carolina; 2016. [cited 2020 Jun 03]. Available from: https://scholarcommons.sc.edu/etd/3890.

Council of Science Editors:

Islam F. Parametric Reversed Hazards Model for Left Censored Data with Application to HIV. [Masters Thesis]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3890


North Carolina State University

9. Park, Jung Wook. Statistical Inference for Correlated Data Based on Censored Observations.

Degree: PhD, Statistics, 2005, North Carolina State University

 Many physical quantities measured over time and space are often observed with data irregularities, such as truncation (detection limit) or censoring. Practitioners often disregard censored(more)

Subjects/Keywords: censored data; correlated data; imputation method; Gibbs sampling; truncated multivariate Gaussian

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APA (6th Edition):

Park, J. W. (2005). Statistical Inference for Correlated Data Based on Censored Observations. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5709

Chicago Manual of Style (16th Edition):

Park, Jung Wook. “Statistical Inference for Correlated Data Based on Censored Observations.” 2005. Doctoral Dissertation, North Carolina State University. Accessed June 03, 2020. http://www.lib.ncsu.edu/resolver/1840.16/5709.

MLA Handbook (7th Edition):

Park, Jung Wook. “Statistical Inference for Correlated Data Based on Censored Observations.” 2005. Web. 03 Jun 2020.

Vancouver:

Park JW. Statistical Inference for Correlated Data Based on Censored Observations. [Internet] [Doctoral dissertation]. North Carolina State University; 2005. [cited 2020 Jun 03]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5709.

Council of Science Editors:

Park JW. Statistical Inference for Correlated Data Based on Censored Observations. [Doctoral Dissertation]. North Carolina State University; 2005. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5709

10. Li, Cong. A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater.

Degree: Statistics, 2012, Uppsala University

  Groundwater data in this thesis, which is taken from the database of Sveriges Geologiska Undersökning, characterizes chemical and quantitative status of groundwater in Sweden.… (more)

Subjects/Keywords: groundwater; left-censored data; the EM algorithm; maximum likelihood estimation

…Considering censored data, they have limits of quantifications. So the expectation of the xj is the… …of the censored data. In part3, we do log-transformation on all the data, so the range is… …expectation of the log-likelihood can only be taken when we just know the censored data. Once the… …different years, missing data and censored data that is the center of this thesis. The plot of the… …to show how to treat censored data. The log transformation of the data is yt = log(zt… 

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APA (6th Edition):

Li, C. (2012). A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175833

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Cong. “A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater.” 2012. Thesis, Uppsala University. Accessed June 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175833.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Cong. “A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater.” 2012. Web. 03 Jun 2020.

Vancouver:

Li C. A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater. [Internet] [Thesis]. Uppsala University; 2012. [cited 2020 Jun 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175833.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li C. A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater. [Thesis]. Uppsala University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175833

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Zhang, Yifan. Multivariate Probit Models for Interval-Censored Failure Time Data.

Degree: PhD, Statistics, 2019, University of South Carolina

  Survival analysis is an important branch of statistics that analyzes the time to event data. The events of interest can be death, disease occurrence,… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; survival data and analysis; interval-censored data; multivariate probit models; failure time data

…Chapter 3 Regression analysis of interval-censored failure time data under multivariate… …Semiparametric regression analysis of multivariate interval-censored failure time data under frailty… …changed, which contributes to interval-censored data. Or the event after the last visit, which… …caused difficulty in analyzing interval-censored data. 1 1.1.1 Case I interval-Censoring… …type of data are referred to as current status data and only contain left-censored or right… 

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APA (6th Edition):

Zhang, Y. (2019). Multivariate Probit Models for Interval-Censored Failure Time Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5361

Chicago Manual of Style (16th Edition):

Zhang, Yifan. “Multivariate Probit Models for Interval-Censored Failure Time Data.” 2019. Doctoral Dissertation, University of South Carolina. Accessed June 03, 2020. https://scholarcommons.sc.edu/etd/5361.

MLA Handbook (7th Edition):

Zhang, Yifan. “Multivariate Probit Models for Interval-Censored Failure Time Data.” 2019. Web. 03 Jun 2020.

Vancouver:

Zhang Y. Multivariate Probit Models for Interval-Censored Failure Time Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2019. [cited 2020 Jun 03]. Available from: https://scholarcommons.sc.edu/etd/5361.

Council of Science Editors:

Zhang Y. Multivariate Probit Models for Interval-Censored Failure Time Data. [Doctoral Dissertation]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5361

12. Wang, Naichen. Semiparametric Regression Analysis of Bivariate Interval-Censored Data.

Degree: PhD, Statistics, 2014, University of South Carolina

  Survival analysis is a long-lasting and popular research area and has numerous applications in all fields such as social science, engineering, economics, industry, and… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; regression analysis; statistics; interval-censored data

…Various of censoring types can be found in the censored data: left-censoring, rightcensoring and… …interval-censored data contain all these three types of censored observations, and such data… …data is called current status data, in which all the failure times are either left censored… …or right censored. Current status data appear commonly in cross-sectional studies, in which… …referred to as case 1 interval-censored data, and general interval-censored data are also… 

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APA (6th Edition):

Wang, N. (2014). Semiparametric Regression Analysis of Bivariate Interval-Censored Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3018

Chicago Manual of Style (16th Edition):

Wang, Naichen. “Semiparametric Regression Analysis of Bivariate Interval-Censored Data.” 2014. Doctoral Dissertation, University of South Carolina. Accessed June 03, 2020. https://scholarcommons.sc.edu/etd/3018.

MLA Handbook (7th Edition):

Wang, Naichen. “Semiparametric Regression Analysis of Bivariate Interval-Censored Data.” 2014. Web. 03 Jun 2020.

Vancouver:

Wang N. Semiparametric Regression Analysis of Bivariate Interval-Censored Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2014. [cited 2020 Jun 03]. Available from: https://scholarcommons.sc.edu/etd/3018.

Council of Science Editors:

Wang N. Semiparametric Regression Analysis of Bivariate Interval-Censored Data. [Doctoral Dissertation]. University of South Carolina; 2014. Available from: https://scholarcommons.sc.edu/etd/3018

13. Yao, Bin. Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data.

Degree: PhD, Statistics, 2016, University of South Carolina

  This dissertation discusses three important research topics on semiparametric regression analysis of panel count data and interval-censored data. Both types of data arise commonly… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Semiparametric; Regression; Panel Count; Interval-Censored; Failure Time Data

…review. 1.2 Interval-censored data Time-to-event data is also referred to as failure time… …an event is a random variable of interest. 3 Interval-censored data are a special case… …known to fall within some interval. Interval-censored data arise naturally in epidemiological… …well known example of interval-censored data is breast cancer data came from a retrospective… …censored data available on time to breast retraction. For the analysis of interval-censored data… 

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APA (6th Edition):

Yao, B. (2016). Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3539

Chicago Manual of Style (16th Edition):

Yao, Bin. “Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data.” 2016. Doctoral Dissertation, University of South Carolina. Accessed June 03, 2020. https://scholarcommons.sc.edu/etd/3539.

MLA Handbook (7th Edition):

Yao, Bin. “Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data.” 2016. Web. 03 Jun 2020.

Vancouver:

Yao B. Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2020 Jun 03]. Available from: https://scholarcommons.sc.edu/etd/3539.

Council of Science Editors:

Yao B. Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3539


University of Michigan

14. Somboonsavatdee, Anupap. Contributions to Reliability and Lifetime Data Analysis.

Degree: PhD, Statistics, 2007, University of Michigan

 This dissertation deals with problems in reliability and lifetime data analysis. The first part focuses on the study of graphical estimators from probability plots with… (more)

Subjects/Keywords: Censored Data; Probability Plots; Competing Risks; Reliability; Power Law Processes; Repairable Systems; Mathematics; Science

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APA (6th Edition):

Somboonsavatdee, A. (2007). Contributions to Reliability and Lifetime Data Analysis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/57718

Chicago Manual of Style (16th Edition):

Somboonsavatdee, Anupap. “Contributions to Reliability and Lifetime Data Analysis.” 2007. Doctoral Dissertation, University of Michigan. Accessed June 03, 2020. http://hdl.handle.net/2027.42/57718.

MLA Handbook (7th Edition):

Somboonsavatdee, Anupap. “Contributions to Reliability and Lifetime Data Analysis.” 2007. Web. 03 Jun 2020.

Vancouver:

Somboonsavatdee A. Contributions to Reliability and Lifetime Data Analysis. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2020 Jun 03]. Available from: http://hdl.handle.net/2027.42/57718.

Council of Science Editors:

Somboonsavatdee A. Contributions to Reliability and Lifetime Data Analysis. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/57718

15. Andersson, Johan. Testing For Normality of Censored Data.

Degree: Statistics, 2015, Uppsala University

  In order to make statistical inference, that is drawing conclusions from a sample to describe a population, it is crucial to know the correct… (more)

Subjects/Keywords: Censored data; normality test; Cramer-von Mises test statistic; Anderson-Darling test statistic; testing for normality

…x28;Thode 2002) Cramer-von Mises test for censored data (For parameter estimation… …Tests With Censoring Of Type I All the test statistics is tested with left-censored data of… …tests are designed for censored data of type II. These tests detect normality in a censored… …censoring to evaluate if there is a difference when handling censored data of type I or type II… …and Cramer-von Mises test fore censored data, are tested with all 20 observations. The… 

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APA (6th Edition):

Andersson, J. (2015). Testing For Normality of Censored Data. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-253889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Andersson, Johan. “Testing For Normality of Censored Data.” 2015. Thesis, Uppsala University. Accessed June 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-253889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Andersson, Johan. “Testing For Normality of Censored Data.” 2015. Web. 03 Jun 2020.

Vancouver:

Andersson J. Testing For Normality of Censored Data. [Internet] [Thesis]. Uppsala University; 2015. [cited 2020 Jun 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-253889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Andersson J. Testing For Normality of Censored Data. [Thesis]. Uppsala University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-253889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

16. Tanaka, Yoko, 1962-. A proportional hazards model for informatively censored survival times.

Degree: PhD, Statistics, 1998, University of Florida

Subjects/Keywords: Censored data; Censorship; Confidence interval; Death; Estimators; Martingales; Modeling; Relapse; Reliability functions; Statistical models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tanaka, Yoko, 1. (1998). A proportional hazards model for informatively censored survival times. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00040698

Chicago Manual of Style (16th Edition):

Tanaka, Yoko, 1962-. “A proportional hazards model for informatively censored survival times.” 1998. Doctoral Dissertation, University of Florida. Accessed June 03, 2020. https://ufdc.ufl.edu/AA00040698.

MLA Handbook (7th Edition):

Tanaka, Yoko, 1962-. “A proportional hazards model for informatively censored survival times.” 1998. Web. 03 Jun 2020.

Vancouver:

Tanaka, Yoko 1. A proportional hazards model for informatively censored survival times. [Internet] [Doctoral dissertation]. University of Florida; 1998. [cited 2020 Jun 03]. Available from: https://ufdc.ufl.edu/AA00040698.

Council of Science Editors:

Tanaka, Yoko 1. A proportional hazards model for informatively censored survival times. [Doctoral Dissertation]. University of Florida; 1998. Available from: https://ufdc.ufl.edu/AA00040698


University of Florida

17. Dallas, Michael James, 1970-. Permutation tests for randomly right censored data consisting of both paired and unpaired observations.

Degree: PhD, Statistics, 1997, University of Florida

Subjects/Keywords: Applied statistics; Censored data; Censorship; P values; Permutation tests; Permutations; Rank tests; Simulations; Statistics; Subroutines

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dallas, Michael James, 1. (1997). Permutation tests for randomly right censored data consisting of both paired and unpaired observations. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00034987

Chicago Manual of Style (16th Edition):

Dallas, Michael James, 1970-. “Permutation tests for randomly right censored data consisting of both paired and unpaired observations.” 1997. Doctoral Dissertation, University of Florida. Accessed June 03, 2020. https://ufdc.ufl.edu/AA00034987.

MLA Handbook (7th Edition):

Dallas, Michael James, 1970-. “Permutation tests for randomly right censored data consisting of both paired and unpaired observations.” 1997. Web. 03 Jun 2020.

Vancouver:

Dallas, Michael James 1. Permutation tests for randomly right censored data consisting of both paired and unpaired observations. [Internet] [Doctoral dissertation]. University of Florida; 1997. [cited 2020 Jun 03]. Available from: https://ufdc.ufl.edu/AA00034987.

Council of Science Editors:

Dallas, Michael James 1. Permutation tests for randomly right censored data consisting of both paired and unpaired observations. [Doctoral Dissertation]. University of Florida; 1997. Available from: https://ufdc.ufl.edu/AA00034987


University of Florida

18. Mukherjee, Robin, 1963-. Combinative rank-based tests for comparing response rates and response durations in randomized clinical trials.

Degree: PhD, Statistics, 1999, University of Florida

Subjects/Keywords: Censored data; Censorship; Estimators; Logical givens; Logistics; Minimum value; Proportions; Rank tests; Statistics; Transponders

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mukherjee, Robin, 1. (1999). Combinative rank-based tests for comparing response rates and response durations in randomized clinical trials. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00031838

Chicago Manual of Style (16th Edition):

Mukherjee, Robin, 1963-. “Combinative rank-based tests for comparing response rates and response durations in randomized clinical trials.” 1999. Doctoral Dissertation, University of Florida. Accessed June 03, 2020. https://ufdc.ufl.edu/AA00031838.

MLA Handbook (7th Edition):

Mukherjee, Robin, 1963-. “Combinative rank-based tests for comparing response rates and response durations in randomized clinical trials.” 1999. Web. 03 Jun 2020.

Vancouver:

Mukherjee, Robin 1. Combinative rank-based tests for comparing response rates and response durations in randomized clinical trials. [Internet] [Doctoral dissertation]. University of Florida; 1999. [cited 2020 Jun 03]. Available from: https://ufdc.ufl.edu/AA00031838.

Council of Science Editors:

Mukherjee, Robin 1. Combinative rank-based tests for comparing response rates and response durations in randomized clinical trials. [Doctoral Dissertation]. University of Florida; 1999. Available from: https://ufdc.ufl.edu/AA00031838

.