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You searched for +publisher:"University of Missouri – Columbia" +contributor:("Sun, Jianguo, 1961-"). Showing records 1 – 20 of 20 total matches.

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University of Missouri – Columbia

1. Li, Ni. Semiparametric transformation models for panel count data.

Degree: 2011, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Panel count data arise in event history studies. It may not be feasible to… (more)

Subjects/Keywords: event history studies; regression analysis; recurrent event process; panel count data

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

APA (6th Edition):

Li, N. (2011). Semiparametric transformation models for panel count data. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/15856

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, Ni. “Semiparametric transformation models for panel count data.” 2011. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. https://doi.org/10.32469/10355/15856.

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

MLA Handbook (7th Edition):

Li, Ni. “Semiparametric transformation models for panel count data.” 2011. Web. 19 Sep 2020.

Vancouver:

Li N. Semiparametric transformation models for panel count data. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2020 Sep 19]. Available from: https://doi.org/10.32469/10355/15856.

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

Council of Science Editors:

Li N. Semiparametric transformation models for panel count data. [Thesis]. University of Missouri – Columbia; 2011. Available from: https://doi.org/10.32469/10355/15856

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


University of Missouri – Columbia

2. Hu, Na. Statistical analysis of length-biased and right-censored data.

Degree: 2013, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Biased sampling arises when the observations are not randomly selected from the target population. When… (more)

Subjects/Keywords: biased sampling; length-biased sampling; right-censored data

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APA (6th Edition):

Hu, N. (2013). Statistical analysis of length-biased and right-censored data. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/37834

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):

Hu, Na. “Statistical analysis of length-biased and right-censored data.” 2013. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. https://doi.org/10.32469/10355/37834.

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

MLA Handbook (7th Edition):

Hu, Na. “Statistical analysis of length-biased and right-censored data.” 2013. Web. 19 Sep 2020.

Vancouver:

Hu N. Statistical analysis of length-biased and right-censored data. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2020 Sep 19]. Available from: https://doi.org/10.32469/10355/37834.

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

Council of Science Editors:

Hu N. Statistical analysis of length-biased and right-censored data. [Thesis]. University of Missouri – Columbia; 2013. Available from: https://doi.org/10.32469/10355/37834

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


University of Missouri – Columbia

3. Qin, Peiwu, 1979-. Statistical image analysis of photoactivated localization microscopy.

Degree: 2013, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Fluorescent microscopy is a traditional way of localizing the biological molecules in the living cells.… (more)

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APA (6th Edition):

Qin, Peiwu, 1. (2013). Statistical image analysis of photoactivated localization microscopy. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/43161

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):

Qin, Peiwu, 1979-. “Statistical image analysis of photoactivated localization microscopy.” 2013. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. https://doi.org/10.32469/10355/43161.

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

MLA Handbook (7th Edition):

Qin, Peiwu, 1979-. “Statistical image analysis of photoactivated localization microscopy.” 2013. Web. 19 Sep 2020.

Vancouver:

Qin, Peiwu 1. Statistical image analysis of photoactivated localization microscopy. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2020 Sep 19]. Available from: https://doi.org/10.32469/10355/43161.

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

Council of Science Editors:

Qin, Peiwu 1. Statistical image analysis of photoactivated localization microscopy. [Thesis]. University of Missouri – Columbia; 2013. Available from: https://doi.org/10.32469/10355/43161

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


University of Missouri – Columbia

4. Duan, Ran. The nonparametric analysis of interval-censored failure time data.

Degree: 2013, University of Missouri – Columbia

 By interval-censored failure time data, we mean that the failure time of interest is observed to belong to some windows or intervals, instead of being… (more)

Subjects/Keywords: Failure time data analysis.; Survival analysis (Biometry).; Regression analysis.; Statistics.; Clinical trials  – Statistical methods.

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

APA (6th Edition):

Duan, R. (2013). The nonparametric analysis of interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/43236

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):

Duan, Ran. “The nonparametric analysis of interval-censored failure time data.” 2013. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. https://doi.org/10.32469/10355/43236.

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

MLA Handbook (7th Edition):

Duan, Ran. “The nonparametric analysis of interval-censored failure time data.” 2013. Web. 19 Sep 2020.

Vancouver:

Duan R. The nonparametric analysis of interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2020 Sep 19]. Available from: https://doi.org/10.32469/10355/43236.

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

Council of Science Editors:

Duan R. The nonparametric analysis of interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2013. Available from: https://doi.org/10.32469/10355/43236

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


University of Missouri – Columbia

5. Li, Yang, 1983-. Semiparametric and nonparametric methods for the analysis of panel count data.

Degree: 2013, University of Missouri – Columbia

 Panel count data are one type of event-history data concerning recurrent events. Ideally for an event-history study, subjects should be monitored continuously, so for the… (more)

Subjects/Keywords: Statistics.; Medical statistics.; Biometry.; Panel analysis.

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

APA (6th Edition):

Li, Yang, 1. (2013). Semiparametric and nonparametric methods for the analysis of panel count data. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/43244

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, Yang, 1983-. “Semiparametric and nonparametric methods for the analysis of panel count data.” 2013. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. https://doi.org/10.32469/10355/43244.

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

MLA Handbook (7th Edition):

Li, Yang, 1983-. “Semiparametric and nonparametric methods for the analysis of panel count data.” 2013. Web. 19 Sep 2020.

Vancouver:

Li, Yang 1. Semiparametric and nonparametric methods for the analysis of panel count data. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2020 Sep 19]. Available from: https://doi.org/10.32469/10355/43244.

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

Council of Science Editors:

Li, Yang 1. Semiparametric and nonparametric methods for the analysis of panel count data. [Thesis]. University of Missouri – Columbia; 2013. Available from: https://doi.org/10.32469/10355/43244

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


University of Missouri – Columbia

6. Ma, Ling, 1988-. Semi-parametric regression analysis of interval-censored failure time data.

Degree: 2014, University of Missouri – Columbia

 By interval-censored data, we mean that the failure time of interest is known only to lie within an interval instead of being observed exactly. Many… (more)

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APA (6th Edition):

Ma, Ling, 1. (2014). Semi-parametric regression analysis of interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/44493

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):

Ma, Ling, 1988-. “Semi-parametric regression analysis of interval-censored failure time data.” 2014. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. https://doi.org/10.32469/10355/44493.

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

MLA Handbook (7th Edition):

Ma, Ling, 1988-. “Semi-parametric regression analysis of interval-censored failure time data.” 2014. Web. 19 Sep 2020.

Vancouver:

Ma, Ling 1. Semi-parametric regression analysis of interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2014. [cited 2020 Sep 19]. Available from: https://doi.org/10.32469/10355/44493.

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

Council of Science Editors:

Ma, Ling 1. Semi-parametric regression analysis of interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2014. Available from: https://doi.org/10.32469/10355/44493

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

7. Li, Junlong. Regression analysis of clustered interval-censored failure time data.

Degree: 2012, University of Missouri – Columbia

 Clustered failure time data occur when the failure times of interest are clustered into small groups, while interval censoring occurs when the event of interest… (more)

Subjects/Keywords: clustered failure time data; interval-censoring; regression analysis; event of interest; Failure time data analysis; Censored observations (Statistics); Cox proportional hazards model

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Li, J. (2012). Regression analysis of clustered interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/36688

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, Junlong. “Regression analysis of clustered interval-censored failure time data.” 2012. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/36688.

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

MLA Handbook (7th Edition):

Li, Junlong. “Regression analysis of clustered interval-censored failure time data.” 2012. Web. 19 Sep 2020.

Vancouver:

Li J. Regression analysis of clustered interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/36688.

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

Council of Science Editors:

Li J. Regression analysis of clustered interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/36688

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


University of Missouri – Columbia

8. Lee, Kyu Ha. Bayesian variable selection in parametric and semiparametric high dimensional survival analysis.

Degree: 2011, University of Missouri – Columbia

 In this dissertation, we propose several Bayesian variable selection schemes for Bayesian parametric and semiparametric survival models for right-censored survival data. In the rst chapter… (more)

Subjects/Keywords: Cox model; elastic-net; Gibbs sampler; variable selection

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APA (6th Edition):

Lee, K. H. (2011). Bayesian variable selection in parametric and semiparametric high dimensional survival analysis. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/14290

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):

Lee, Kyu Ha. “Bayesian variable selection in parametric and semiparametric high dimensional survival analysis.” 2011. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/14290.

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

MLA Handbook (7th Edition):

Lee, Kyu Ha. “Bayesian variable selection in parametric and semiparametric high dimensional survival analysis.” 2011. Web. 19 Sep 2020.

Vancouver:

Lee KH. Bayesian variable selection in parametric and semiparametric high dimensional survival analysis. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/14290.

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

Council of Science Editors:

Lee KH. Bayesian variable selection in parametric and semiparametric high dimensional survival analysis. [Thesis]. University of Missouri – Columbia; 2011. Available from: http://hdl.handle.net/10355/14290

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


University of Missouri – Columbia

9. Wang, Zhenyu (Statistician). Bayesian non-linear methods for survival analysis and structural equation models.

Degree: 2014, University of Missouri – Columbia

 High dimensional data are more common nowadays, because the collection of such data becomes larger and more complex due to the technology advance of the… (more)

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APA (6th Edition):

Wang, Z. (. (2014). Bayesian non-linear methods for survival analysis and structural equation models. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/44511

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):

Wang, Zhenyu (Statistician). “Bayesian non-linear methods for survival analysis and structural equation models.” 2014. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. https://doi.org/10.32469/10355/44511.

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

MLA Handbook (7th Edition):

Wang, Zhenyu (Statistician). “Bayesian non-linear methods for survival analysis and structural equation models.” 2014. Web. 19 Sep 2020.

Vancouver:

Wang Z(. Bayesian non-linear methods for survival analysis and structural equation models. [Internet] [Thesis]. University of Missouri – Columbia; 2014. [cited 2020 Sep 19]. Available from: https://doi.org/10.32469/10355/44511.

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

Council of Science Editors:

Wang Z(. Bayesian non-linear methods for survival analysis and structural equation models. [Thesis]. University of Missouri – Columbia; 2014. Available from: https://doi.org/10.32469/10355/44511

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


University of Missouri – Columbia

10. Wang, Lianming, 1977-. Statistical analysis of multivariate interval-censored failure time data.

Degree: PhD, 2006, University of Missouri – Columbia

 Interval-censored failure time data commonly arise in clinical trials and medical studies. In such studies, the failure time of interest is often not exactly observed,… (more)

Subjects/Keywords: Failure time data analysis; Regression analysis

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

APA (6th Edition):

Wang, Lianming, 1. (2006). Statistical analysis of multivariate interval-censored failure time data. (Doctoral Dissertation). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/4375

Chicago Manual of Style (16th Edition):

Wang, Lianming, 1977-. “Statistical analysis of multivariate interval-censored failure time data.” 2006. Doctoral Dissertation, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/4375.

MLA Handbook (7th Edition):

Wang, Lianming, 1977-. “Statistical analysis of multivariate interval-censored failure time data.” 2006. Web. 19 Sep 2020.

Vancouver:

Wang, Lianming 1. Statistical analysis of multivariate interval-censored failure time data. [Internet] [Doctoral dissertation]. University of Missouri – Columbia; 2006. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/4375.

Council of Science Editors:

Wang, Lianming 1. Statistical analysis of multivariate interval-censored failure time data. [Doctoral Dissertation]. University of Missouri – Columbia; 2006. Available from: http://hdl.handle.net/10355/4375


University of Missouri – Columbia

11. Zhu, Chao, 1979-. Nonparametric and semiparametric methods for interval-censored failure time data.

Degree: PhD, 2006, University of Missouri – Columbia

 Interval-censored failure time data commonly arise in follow-up studies such as clinical trials and epidemiology studies. By interval-censored data, we mean that the failure time… (more)

Subjects/Keywords: Failure time data analysis; Nonparametric statistics

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APA (6th Edition):

Zhu, Chao, 1. (2006). Nonparametric and semiparametric methods for interval-censored failure time data. (Doctoral Dissertation). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/4415

Chicago Manual of Style (16th Edition):

Zhu, Chao, 1979-. “Nonparametric and semiparametric methods for interval-censored failure time data.” 2006. Doctoral Dissertation, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/4415.

MLA Handbook (7th Edition):

Zhu, Chao, 1979-. “Nonparametric and semiparametric methods for interval-censored failure time data.” 2006. Web. 19 Sep 2020.

Vancouver:

Zhu, Chao 1. Nonparametric and semiparametric methods for interval-censored failure time data. [Internet] [Doctoral dissertation]. University of Missouri – Columbia; 2006. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/4415.

Council of Science Editors:

Zhu, Chao 1. Nonparametric and semiparametric methods for interval-censored failure time data. [Doctoral Dissertation]. University of Missouri – Columbia; 2006. Available from: http://hdl.handle.net/10355/4415


University of Missouri – Columbia

12. He, Xin, 1981-. Semiparametric analysis of panel count data.

Degree: PhD, 2007, University of Missouri – Columbia

 Panel count data often arise in long term studies that concern occurrence rates of certain recurrent events. In such studies, each subject is observed only… (more)

Subjects/Keywords: Carcinogenesis; Bladder  – Tumors; Psoriatic arthritis; Panel analysis; Estimation theory; Regression analysis

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APA (6th Edition):

He, Xin, 1. (2007). Semiparametric analysis of panel count data. (Doctoral Dissertation). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/4774

Chicago Manual of Style (16th Edition):

He, Xin, 1981-. “Semiparametric analysis of panel count data.” 2007. Doctoral Dissertation, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/4774.

MLA Handbook (7th Edition):

He, Xin, 1981-. “Semiparametric analysis of panel count data.” 2007. Web. 19 Sep 2020.

Vancouver:

He, Xin 1. Semiparametric analysis of panel count data. [Internet] [Doctoral dissertation]. University of Missouri – Columbia; 2007. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/4774.

Council of Science Editors:

He, Xin 1. Semiparametric analysis of panel count data. [Doctoral Dissertation]. University of Missouri – Columbia; 2007. Available from: http://hdl.handle.net/10355/4774


University of Missouri – Columbia

13. Chen, Man-Hua, 1973-. Statistical analysis of multivariate interval-censored failure time data.

Degree: PhD, 2007, University of Missouri – Columbia

 A voluminous literature on right-censored failure time data has been developed in the past 30 years. Due to advances in biomedical research, interval censoring has… (more)

Subjects/Keywords: Failure time data analysis

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

APA (6th Edition):

Chen, Man-Hua, 1. (2007). Statistical analysis of multivariate interval-censored failure time data. (Doctoral Dissertation). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/4776

Chicago Manual of Style (16th Edition):

Chen, Man-Hua, 1973-. “Statistical analysis of multivariate interval-censored failure time data.” 2007. Doctoral Dissertation, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/4776.

MLA Handbook (7th Edition):

Chen, Man-Hua, 1973-. “Statistical analysis of multivariate interval-censored failure time data.” 2007. Web. 19 Sep 2020.

Vancouver:

Chen, Man-Hua 1. Statistical analysis of multivariate interval-censored failure time data. [Internet] [Doctoral dissertation]. University of Missouri – Columbia; 2007. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/4776.

Council of Science Editors:

Chen, Man-Hua 1. Statistical analysis of multivariate interval-censored failure time data. [Doctoral Dissertation]. University of Missouri – Columbia; 2007. Available from: http://hdl.handle.net/10355/4776


University of Missouri – Columbia

14. Zhu, Liang, 1981-. Semiparametric analysis of multivariate longitudinal data.

Degree: PhD, 2008, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Longitudinal studies are conducted widely in fields such as agriculture and life sciences, business… (more)

Subjects/Keywords: Multivariate analysis  – Longitudinal studies; Regression analysis  – Longitudinal studies

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APA (6th Edition):

Zhu, Liang, 1. (2008). Semiparametric analysis of multivariate longitudinal data. (Doctoral Dissertation). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/6044

Chicago Manual of Style (16th Edition):

Zhu, Liang, 1981-. “Semiparametric analysis of multivariate longitudinal data.” 2008. Doctoral Dissertation, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/6044.

MLA Handbook (7th Edition):

Zhu, Liang, 1981-. “Semiparametric analysis of multivariate longitudinal data.” 2008. Web. 19 Sep 2020.

Vancouver:

Zhu, Liang 1. Semiparametric analysis of multivariate longitudinal data. [Internet] [Doctoral dissertation]. University of Missouri – Columbia; 2008. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/6044.

Council of Science Editors:

Zhu, Liang 1. Semiparametric analysis of multivariate longitudinal data. [Doctoral Dissertation]. University of Missouri – Columbia; 2008. Available from: http://hdl.handle.net/10355/6044


University of Missouri – Columbia

15. Chen, Ping, 1984-. Statistical analysis of failure time data with missing information.

Degree: 2009, University of Missouri – Columbia

 Failure time data arise in many fields and can involve different types of censoring structures and missing information. We consider three cases: right-censored data with… (more)

Subjects/Keywords: Statistics; Failure time data analysis; Regression analysis

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APA (6th Edition):

Chen, Ping, 1. (2009). Statistical analysis of failure time data with missing information. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/6144

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):

Chen, Ping, 1984-. “Statistical analysis of failure time data with missing information.” 2009. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/6144.

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

MLA Handbook (7th Edition):

Chen, Ping, 1984-. “Statistical analysis of failure time data with missing information.” 2009. Web. 19 Sep 2020.

Vancouver:

Chen, Ping 1. Statistical analysis of failure time data with missing information. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/6144.

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

Council of Science Editors:

Chen, Ping 1. Statistical analysis of failure time data with missing information. [Thesis]. University of Missouri – Columbia; 2009. Available from: http://hdl.handle.net/10355/6144

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


University of Missouri – Columbia

16. Gorelick, Jeremy, 1981-. Nonparametric analysis of interval-censored failure time data.

Degree: 2009, University of Missouri – Columbia

 This thesis considers the problem of treatment comparisons when only interval-censored failure time data are available. This type of data occurs frequently in clinical trials… (more)

Subjects/Keywords: Failure time data analysis; Nonparametric statistics; Time-series analysis; Interval functions

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

APA (6th Edition):

Gorelick, Jeremy, 1. (2009). Nonparametric analysis of interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/7009

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):

Gorelick, Jeremy, 1981-. “Nonparametric analysis of interval-censored failure time data.” 2009. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/7009.

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

MLA Handbook (7th Edition):

Gorelick, Jeremy, 1981-. “Nonparametric analysis of interval-censored failure time data.” 2009. Web. 19 Sep 2020.

Vancouver:

Gorelick, Jeremy 1. Nonparametric analysis of interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/7009.

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

Council of Science Editors:

Gorelick, Jeremy 1. Nonparametric analysis of interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2009. Available from: http://hdl.handle.net/10355/7009

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


University of Missouri – Columbia

17. Zhang, Xinyan, 1976-. Regression analysis of clustered interval-censored failure time data with informative cluster size.

Degree: 2010, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Correlated or clustered failure time data often occur in many research fields including epidemiological,… (more)

Subjects/Keywords: Cluster analysis; Failure time data analysis

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

APA (6th Edition):

Zhang, Xinyan, 1. (2010). Regression analysis of clustered interval-censored failure time data with informative cluster size. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/9004

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):

Zhang, Xinyan, 1976-. “Regression analysis of clustered interval-censored failure time data with informative cluster size.” 2010. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/9004.

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

MLA Handbook (7th Edition):

Zhang, Xinyan, 1976-. “Regression analysis of clustered interval-censored failure time data with informative cluster size.” 2010. Web. 19 Sep 2020.

Vancouver:

Zhang, Xinyan 1. Regression analysis of clustered interval-censored failure time data with informative cluster size. [Internet] [Thesis]. University of Missouri – Columbia; 2010. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/9004.

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

Council of Science Editors:

Zhang, Xinyan 1. Regression analysis of clustered interval-censored failure time data with informative cluster size. [Thesis]. University of Missouri – Columbia; 2010. Available from: http://hdl.handle.net/10355/9004

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


University of Missouri – Columbia

18. Zhang, Bin, 1979-. Statistical analysis for survival data with missing information.

Degree: 2009, University of Missouri – Columbia

 As a branch of statistics, survival analysis, which is often referred to as "reliability theory" in engineering, has a long history. While in practical problems,… (more)

Subjects/Keywords: Survival analysis (Biometry); Missing observations (Statistics); Statistical hypothesis testing

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

APA (6th Edition):

Zhang, Bin, 1. (2009). Statistical analysis for survival data with missing information. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/9664

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):

Zhang, Bin, 1979-. “Statistical analysis for survival data with missing information.” 2009. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. http://hdl.handle.net/10355/9664.

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

MLA Handbook (7th Edition):

Zhang, Bin, 1979-. “Statistical analysis for survival data with missing information.” 2009. Web. 19 Sep 2020.

Vancouver:

Zhang, Bin 1. Statistical analysis for survival data with missing information. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10355/9664.

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

Council of Science Editors:

Zhang, Bin 1. Statistical analysis for survival data with missing information. [Thesis]. University of Missouri – Columbia; 2009. Available from: http://hdl.handle.net/10355/9664

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


University of Missouri – Columbia

19. Chen, Ling, 1973-. Multiple imputation approaches to regression analysis of interval-censored failure time data.

Degree: 2009, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This dissertation discusses regression analysis of interval-censored failure time data, which occur in many… (more)

Subjects/Keywords: Regression analysis; Interval analysis (Mathematics); Failure time data analysis; Linear models (Statistics)

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

APA (6th Edition):

Chen, Ling, 1. (2009). Multiple imputation approaches to regression analysis of interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/9688

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):

Chen, Ling, 1973-. “Multiple imputation approaches to regression analysis of interval-censored failure time data.” 2009. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. https://doi.org/10.32469/10355/9688.

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

MLA Handbook (7th Edition):

Chen, Ling, 1973-. “Multiple imputation approaches to regression analysis of interval-censored failure time data.” 2009. Web. 19 Sep 2020.

Vancouver:

Chen, Ling 1. Multiple imputation approaches to regression analysis of interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2020 Sep 19]. Available from: https://doi.org/10.32469/10355/9688.

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

Council of Science Editors:

Chen, Ling 1. Multiple imputation approaches to regression analysis of interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2009. Available from: https://doi.org/10.32469/10355/9688

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


University of Missouri – Columbia

20. Peng, Xiao. Estimates of school productivity and implications for policy.

Degree: 2007, University of Missouri – Columbia

 School productivity was not perfectly estimated because of the sampling error and the measurement error. The traditional Ordinary Least Square (OLS) leaves the estimation of… (more)

Subjects/Keywords: Educational accountability  – Statistics; Educational productivity  – Statistics; School improvement programs; Education and state

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

APA (6th Edition):

Peng, X. (2007). Estimates of school productivity and implications for policy. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/5097

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):

Peng, Xiao. “Estimates of school productivity and implications for policy.” 2007. Thesis, University of Missouri – Columbia. Accessed September 19, 2020. https://doi.org/10.32469/10355/5097.

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

MLA Handbook (7th Edition):

Peng, Xiao. “Estimates of school productivity and implications for policy.” 2007. Web. 19 Sep 2020.

Vancouver:

Peng X. Estimates of school productivity and implications for policy. [Internet] [Thesis]. University of Missouri – Columbia; 2007. [cited 2020 Sep 19]. Available from: https://doi.org/10.32469/10355/5097.

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

Council of Science Editors:

Peng X. Estimates of school productivity and implications for policy. [Thesis]. University of Missouri – Columbia; 2007. Available from: https://doi.org/10.32469/10355/5097

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

.