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You searched for subject:(Recurrent event data). Showing records 1 – 11 of 11 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 AUTHOR'S REQUEST.] Panel count data arise in event history studies. It may not be feasible to monitor… (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 http://hdl.handle.net/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 July 18, 2019. http://hdl.handle.net/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. 18 Jul 2019.

Vancouver:

Li N. Semiparametric transformation models for panel count data. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/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: http://hdl.handle.net/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. Li, Ni. Semiparametric transformation models for panel count data.

Degree: 2011, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Panel count data arise in event history studies. It may not be feasible to monitor… (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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Li N. Semiparametric transformation models for panel count data. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2019 Jul 18]. 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 Michigan

3. Xia, Meng. Study Design and Analysis of Censored Longitudinal Time-to-Event and Recurrent Event Data.

Degree: PhD, Biostatistics, 2018, University of Michigan

 This dissertation pursues a paradigm shift from traditionally recorded censored time-to-event and time-to-recurrent event data and corresponding analyses. Instead these data are repurposed into censored… (more)

Subjects/Keywords: Clinical trial; Survival Analysis; Recurrent Event; Statistics and Numeric Data; Science

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APA (6th Edition):

Xia, M. (2018). Study Design and Analysis of Censored Longitudinal Time-to-Event and Recurrent Event Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/150016

Chicago Manual of Style (16th Edition):

Xia, Meng. “Study Design and Analysis of Censored Longitudinal Time-to-Event and Recurrent Event Data.” 2018. Doctoral Dissertation, University of Michigan. Accessed July 18, 2019. http://hdl.handle.net/2027.42/150016.

MLA Handbook (7th Edition):

Xia, Meng. “Study Design and Analysis of Censored Longitudinal Time-to-Event and Recurrent Event Data.” 2018. Web. 18 Jul 2019.

Vancouver:

Xia M. Study Design and Analysis of Censored Longitudinal Time-to-Event and Recurrent Event Data. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2027.42/150016.

Council of Science Editors:

Xia M. Study Design and Analysis of Censored Longitudinal Time-to-Event and Recurrent Event Data. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/150016


Uppsala University

4. Huo, Zhao. A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data.

Degree: Statistics, 2015, Uppsala University

  Multiple imputation (MI) is a commonly used approach to impute missing data. This thesis studies missing covariates in recurrent event data, and discusses ways… (more)

Subjects/Keywords: Missing data; Multiple imputation; Missing covariates; Recurrent event data; Cox PH model; PWP model

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

APA (6th Edition):

Huo, Z. (2015). A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256602

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):

Huo, Zhao. “A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data.” 2015. Thesis, Uppsala University. Accessed July 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256602.

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

MLA Handbook (7th Edition):

Huo, Zhao. “A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data.” 2015. Web. 18 Jul 2019.

Vancouver:

Huo Z. A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data. [Internet] [Thesis]. Uppsala University; 2015. [cited 2019 Jul 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256602.

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

Council of Science Editors:

Huo Z. A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data. [Thesis]. Uppsala University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256602

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


University of South Carolina

5. Li, Li. Applications of Bayesian Nonparametrics to Reliability and Survival Data.

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

  Reliability and survival data are widely encountered across many common settings. Subjects under investigation often include machines, bioassays, patients, etc.; their reliability or survival… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Bayesian methods; Recurrent event; Spatial Statistics; Survival data

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

APA (6th Edition):

Li, L. (2014). Applications of Bayesian Nonparametrics to Reliability and Survival Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/2670

Chicago Manual of Style (16th Edition):

Li, Li. “Applications of Bayesian Nonparametrics to Reliability and Survival Data.” 2014. Doctoral Dissertation, University of South Carolina. Accessed July 18, 2019. https://scholarcommons.sc.edu/etd/2670.

MLA Handbook (7th Edition):

Li, Li. “Applications of Bayesian Nonparametrics to Reliability and Survival Data.” 2014. Web. 18 Jul 2019.

Vancouver:

Li L. Applications of Bayesian Nonparametrics to Reliability and Survival Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2014. [cited 2019 Jul 18]. Available from: https://scholarcommons.sc.edu/etd/2670.

Council of Science Editors:

Li L. Applications of Bayesian Nonparametrics to Reliability and Survival Data. [Doctoral Dissertation]. University of South Carolina; 2014. Available from: https://scholarcommons.sc.edu/etd/2670


University of Michigan

6. Zhan, Tianyu. Semiparametric Functional Temporal Process Regression of Prevalence Outcomes.

Degree: PhD, Biostatistics, 2017, University of Michigan

 We develop novel semiparametric methods for flexibly modeling a prevalence indicator process observed over follow-up time. The proposed methods are motivated by various settings arising… (more)

Subjects/Keywords: Prevalence; Recurrent event; Temporal process regression; Dependent censoring; Joint modeling; Statistics and Numeric Data; Science

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

APA (6th Edition):

Zhan, T. (2017). Semiparametric Functional Temporal Process Regression of Prevalence Outcomes. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140832

Chicago Manual of Style (16th Edition):

Zhan, Tianyu. “Semiparametric Functional Temporal Process Regression of Prevalence Outcomes.” 2017. Doctoral Dissertation, University of Michigan. Accessed July 18, 2019. http://hdl.handle.net/2027.42/140832.

MLA Handbook (7th Edition):

Zhan, Tianyu. “Semiparametric Functional Temporal Process Regression of Prevalence Outcomes.” 2017. Web. 18 Jul 2019.

Vancouver:

Zhan T. Semiparametric Functional Temporal Process Regression of Prevalence Outcomes. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2027.42/140832.

Council of Science Editors:

Zhan T. Semiparametric Functional Temporal Process Regression of Prevalence Outcomes. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140832


University of Saskatchewan

7. Khosa, Saima Khan. Parametric Proportional Hazard Models with Applications in Survival Analysis.

Degree: 2019, University of Saskatchewan

 Proportional hazard (PH) models can be formulated with or without assuming a probability distribution for survival times. The former assumption leads to parametric models, whereas… (more)

Subjects/Keywords: Parametric models; Log-logistic distribution; KumaraswamyWeibull Distribution; Proportional hazard; Semi-parametric model; Time-to-event data; Joint Modeling; Recurrent event Data Analysis

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

APA (6th Edition):

Khosa, S. K. (2019). Parametric Proportional Hazard Models with Applications in Survival Analysis. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/12114

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):

Khosa, Saima Khan. “Parametric Proportional Hazard Models with Applications in Survival Analysis.” 2019. Thesis, University of Saskatchewan. Accessed July 18, 2019. http://hdl.handle.net/10388/12114.

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

MLA Handbook (7th Edition):

Khosa, Saima Khan. “Parametric Proportional Hazard Models with Applications in Survival Analysis.” 2019. Web. 18 Jul 2019.

Vancouver:

Khosa SK. Parametric Proportional Hazard Models with Applications in Survival Analysis. [Internet] [Thesis]. University of Saskatchewan; 2019. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10388/12114.

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

Council of Science Editors:

Khosa SK. Parametric Proportional Hazard Models with Applications in Survival Analysis. [Thesis]. University of Saskatchewan; 2019. Available from: http://hdl.handle.net/10388/12114

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

8. Laharotte, Pierre-Antoine. Contributions à la prévision court-terme, multi-échelle et multi-variée, par apprentissage statistique du trafic routier : Contributions to the short-term, multi-variate and multi-scale prediction of traffic states based on machine learning methods.

Degree: Docteur es, Génie Civil, 2016, Lyon

 La maturité de la télématique et des technologies de l’information et la communication (TIC), ainsi que l’avènement du big data dans le transport ont conduit… (more)

Subjects/Keywords: Big Data; Bluetooth; Floating Car Data (FCD); Prévision; Apprentissage; Réseau; Résilience; Événement non récurrent; Sections critiques; Big Data; Bluetooth; Floating Car Data; Prediction; Forecasting; Learning; Network; Non-recurrent event; Critical links

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

APA (6th Edition):

Laharotte, P. (2016). Contributions à la prévision court-terme, multi-échelle et multi-variée, par apprentissage statistique du trafic routier : Contributions to the short-term, multi-variate and multi-scale prediction of traffic states based on machine learning methods. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2016LYSET013

Chicago Manual of Style (16th Edition):

Laharotte, Pierre-Antoine. “Contributions à la prévision court-terme, multi-échelle et multi-variée, par apprentissage statistique du trafic routier : Contributions to the short-term, multi-variate and multi-scale prediction of traffic states based on machine learning methods.” 2016. Doctoral Dissertation, Lyon. Accessed July 18, 2019. http://www.theses.fr/2016LYSET013.

MLA Handbook (7th Edition):

Laharotte, Pierre-Antoine. “Contributions à la prévision court-terme, multi-échelle et multi-variée, par apprentissage statistique du trafic routier : Contributions to the short-term, multi-variate and multi-scale prediction of traffic states based on machine learning methods.” 2016. Web. 18 Jul 2019.

Vancouver:

Laharotte P. Contributions à la prévision court-terme, multi-échelle et multi-variée, par apprentissage statistique du trafic routier : Contributions to the short-term, multi-variate and multi-scale prediction of traffic states based on machine learning methods. [Internet] [Doctoral dissertation]. Lyon; 2016. [cited 2019 Jul 18]. Available from: http://www.theses.fr/2016LYSET013.

Council of Science Editors:

Laharotte P. Contributions à la prévision court-terme, multi-échelle et multi-variée, par apprentissage statistique du trafic routier : Contributions to the short-term, multi-variate and multi-scale prediction of traffic states based on machine learning methods. [Doctoral Dissertation]. Lyon; 2016. Available from: http://www.theses.fr/2016LYSET013


KTH

9. Max, Lindblad. The impact of parsing methods on recurrent neural networks applied to event-based vehicular signal data.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

This thesis examines two different approaches to parsing event-based vehicular signal data to produce input to a neural network prediction model: event parsing, where… (more)

Subjects/Keywords: neural network; artificial neural network; ANN; recurrent neural network; RNN; long-short term memory; LSTM; event; slice; parsing method; slice parsing; event parsing; time-slice; event-based; slice-based; signal data; temporal data; temporal sequence; multivariate; time-series; unequally spaced; unevenly spaced; irregularly spaced; Scania; SICS; SAGA; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Max, L. (2018). The impact of parsing methods on recurrent neural networks applied to event-based vehicular signal data. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223966

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):

Max, Lindblad. “The impact of parsing methods on recurrent neural networks applied to event-based vehicular signal data.” 2018. Thesis, KTH. Accessed July 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223966.

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

MLA Handbook (7th Edition):

Max, Lindblad. “The impact of parsing methods on recurrent neural networks applied to event-based vehicular signal data.” 2018. Web. 18 Jul 2019.

Vancouver:

Max L. The impact of parsing methods on recurrent neural networks applied to event-based vehicular signal data. [Internet] [Thesis]. KTH; 2018. [cited 2019 Jul 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223966.

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

Council of Science Editors:

Max L. The impact of parsing methods on recurrent neural networks applied to event-based vehicular signal data. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223966

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

10. Sreeja,V N. Regression models for bivariate survival data.

Degree: Statistics, 2008, Cochin University of Science and Technology

Multivariate lifetime data arise in various forms including recurrent event data when individuals are followed to observe the sequence of occurrences of a certain type… (more)

Subjects/Keywords: Regression Model; Proportional Hazards Model; Censoring; Proportional Mean Residual Life Model; Multivariate Lifetime Data; Gap Time Distributions; Informative Censoring; Bivariate Competing Risks Data; Recurrent Event Data; Statistics

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APA (6th Edition):

N, S. (2008). Regression models for bivariate survival data. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/2708

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):

N, Sreeja,V. “Regression models for bivariate survival data.” 2008. Thesis, Cochin University of Science and Technology. Accessed July 18, 2019. http://dyuthi.cusat.ac.in/purl/2708.

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

MLA Handbook (7th Edition):

N, Sreeja,V. “Regression models for bivariate survival data.” 2008. Web. 18 Jul 2019.

Vancouver:

N S. Regression models for bivariate survival data. [Internet] [Thesis]. Cochin University of Science and Technology; 2008. [cited 2019 Jul 18]. Available from: http://dyuthi.cusat.ac.in/purl/2708.

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

Council of Science Editors:

N S. Regression models for bivariate survival data. [Thesis]. Cochin University of Science and Technology; 2008. Available from: http://dyuthi.cusat.ac.in/purl/2708

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

11. Shen, Hua. Statistical Methods for Life History Analysis Involving Latent Processes.

Degree: 2014, University of Waterloo

 Incomplete data often arise in the study of life history processes. Examples include missing responses, missing covariates, and unobservable latent processes in addition to right… (more)

Subjects/Keywords: incomplete covariates; left truncation; subgroup analysis; survival analysis; dynamic mover–stayer model; EM algorithm; recurrent event data; semiparametric estimation; interval censoring; piecewise constant model

Recurrent Event Data from Disease Processes Subject to Resolution… …4.1 74 Pseudo-data frame for recurrent event process for one subject using the proposed… …events, and wt is the weight . . . 4.2 95 Pseudo-data frame for recurrent event process for… …4.4 97 Pseudo-data frame for recurrent event process for one subject using the naive… …recurrent event data. Examples include migraines, seizures, heart attacks, strokes, sporting… 

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

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

APA (6th Edition):

Shen, H. (2014). Statistical Methods for Life History Analysis Involving Latent Processes. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/8496

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):

Shen, Hua. “Statistical Methods for Life History Analysis Involving Latent Processes.” 2014. Thesis, University of Waterloo. Accessed July 18, 2019. http://hdl.handle.net/10012/8496.

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

MLA Handbook (7th Edition):

Shen, Hua. “Statistical Methods for Life History Analysis Involving Latent Processes.” 2014. Web. 18 Jul 2019.

Vancouver:

Shen H. Statistical Methods for Life History Analysis Involving Latent Processes. [Internet] [Thesis]. University of Waterloo; 2014. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10012/8496.

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

Council of Science Editors:

Shen H. Statistical Methods for Life History Analysis Involving Latent Processes. [Thesis]. University of Waterloo; 2014. Available from: http://hdl.handle.net/10012/8496

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

.