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You searched for subject:(biometry). Showing records 1 – 30 of 297 total matches.

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Florida State University

1. Baker, Danisha S. (Danisha Sharice). A Bayesian Wavelet Based Analysis of Longitudinally Observed Skewed Heteroscedastic Responses.

Degree: PhD, Statistics, 2017, Florida State University

Unlike many of the current statistical models focusing on highly skewed longitudinal data, we present a novel model accommodating a skewed error distribution, partial linear… (more)

Subjects/Keywords: Biometry

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

APA (6th Edition):

Baker, D. S. (. S. (2017). A Bayesian Wavelet Based Analysis of Longitudinally Observed Skewed Heteroscedastic Responses. (Doctoral Dissertation). Florida State University. Retrieved from http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Baker_fsu_0071E_14036 ;

Chicago Manual of Style (16th Edition):

Baker, Danisha S (Danisha Sharice). “A Bayesian Wavelet Based Analysis of Longitudinally Observed Skewed Heteroscedastic Responses.” 2017. Doctoral Dissertation, Florida State University. Accessed April 24, 2019. http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Baker_fsu_0071E_14036 ;.

MLA Handbook (7th Edition):

Baker, Danisha S (Danisha Sharice). “A Bayesian Wavelet Based Analysis of Longitudinally Observed Skewed Heteroscedastic Responses.” 2017. Web. 24 Apr 2019.

Vancouver:

Baker DS(S. A Bayesian Wavelet Based Analysis of Longitudinally Observed Skewed Heteroscedastic Responses. [Internet] [Doctoral dissertation]. Florida State University; 2017. [cited 2019 Apr 24]. Available from: http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Baker_fsu_0071E_14036 ;.

Council of Science Editors:

Baker DS(S. A Bayesian Wavelet Based Analysis of Longitudinally Observed Skewed Heteroscedastic Responses. [Doctoral Dissertation]. Florida State University; 2017. Available from: http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Baker_fsu_0071E_14036 ;


Columbia University

2. Chang, Hsin-wen. Empirical likelihood tests for stochastic ordering based on censored and biased data.

Degree: 2014, Columbia University

 In the classical two-sample comparison problem, it is often of interest to examine whether the distribution function is uniformly higher in one group than the… (more)

Subjects/Keywords: Biometry

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

APA (6th Edition):

Chang, H. (2014). Empirical likelihood tests for stochastic ordering based on censored and biased data. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8ZC81CW

Chicago Manual of Style (16th Edition):

Chang, Hsin-wen. “Empirical likelihood tests for stochastic ordering based on censored and biased data.” 2014. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8ZC81CW.

MLA Handbook (7th Edition):

Chang, Hsin-wen. “Empirical likelihood tests for stochastic ordering based on censored and biased data.” 2014. Web. 24 Apr 2019.

Vancouver:

Chang H. Empirical likelihood tests for stochastic ordering based on censored and biased data. [Internet] [Doctoral dissertation]. Columbia University; 2014. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8ZC81CW.

Council of Science Editors:

Chang H. Empirical likelihood tests for stochastic ordering based on censored and biased data. [Doctoral Dissertation]. Columbia University; 2014. Available from: https://doi.org/10.7916/D8ZC81CW


Columbia University

3. Zhou, Hui. Graph structure inference for high-throughput genomic data.

Degree: 2014, Columbia University

 Recent advances in high-throughput sequencing technologies enable us to study a large number of biomarkers and use their information collectively. Based on high-throughput experiments, there… (more)

Subjects/Keywords: Biometry

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APA (6th Edition):

Zhou, H. (2014). Graph structure inference for high-throughput genomic data. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D85B012B

Chicago Manual of Style (16th Edition):

Zhou, Hui. “Graph structure inference for high-throughput genomic data.” 2014. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D85B012B.

MLA Handbook (7th Edition):

Zhou, Hui. “Graph structure inference for high-throughput genomic data.” 2014. Web. 24 Apr 2019.

Vancouver:

Zhou H. Graph structure inference for high-throughput genomic data. [Internet] [Doctoral dissertation]. Columbia University; 2014. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D85B012B.

Council of Science Editors:

Zhou H. Graph structure inference for high-throughput genomic data. [Doctoral Dissertation]. Columbia University; 2014. Available from: https://doi.org/10.7916/D85B012B


Columbia University

4. Spivack, John Henry. The Limb-Leaf Design: A New Way to Explore the Dose Response Curve in Adaptive Seamless Phase II/III Trials.

Degree: 2011, Columbia University

 This dissertation proposes a method to explore a dose response curve adaptively, allowing new doses to be inserted into the trial after initial results have… (more)

Subjects/Keywords: Biometry

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

APA (6th Edition):

Spivack, J. H. (2011). The Limb-Leaf Design: A New Way to Explore the Dose Response Curve in Adaptive Seamless Phase II/III Trials. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D89W0NGX

Chicago Manual of Style (16th Edition):

Spivack, John Henry. “The Limb-Leaf Design: A New Way to Explore the Dose Response Curve in Adaptive Seamless Phase II/III Trials.” 2011. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D89W0NGX.

MLA Handbook (7th Edition):

Spivack, John Henry. “The Limb-Leaf Design: A New Way to Explore the Dose Response Curve in Adaptive Seamless Phase II/III Trials.” 2011. Web. 24 Apr 2019.

Vancouver:

Spivack JH. The Limb-Leaf Design: A New Way to Explore the Dose Response Curve in Adaptive Seamless Phase II/III Trials. [Internet] [Doctoral dissertation]. Columbia University; 2011. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D89W0NGX.

Council of Science Editors:

Spivack JH. The Limb-Leaf Design: A New Way to Explore the Dose Response Curve in Adaptive Seamless Phase II/III Trials. [Doctoral Dissertation]. Columbia University; 2011. Available from: https://doi.org/10.7916/D89W0NGX


Columbia University

5. Chen, Huaihou. Flexible models and methods for longitudinal and multilevel functional data.

Degree: 2012, Columbia University

 In the first part of this dissertation, we propose penalized spline (P-spline)-based methods for functional mixed effects models with varying coefficients. This work is motivated… (more)

Subjects/Keywords: Biometry

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

APA (6th Edition):

Chen, H. (2012). Flexible models and methods for longitudinal and multilevel functional data. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8KD24WH

Chicago Manual of Style (16th Edition):

Chen, Huaihou. “Flexible models and methods for longitudinal and multilevel functional data.” 2012. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8KD24WH.

MLA Handbook (7th Edition):

Chen, Huaihou. “Flexible models and methods for longitudinal and multilevel functional data.” 2012. Web. 24 Apr 2019.

Vancouver:

Chen H. Flexible models and methods for longitudinal and multilevel functional data. [Internet] [Doctoral dissertation]. Columbia University; 2012. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8KD24WH.

Council of Science Editors:

Chen H. Flexible models and methods for longitudinal and multilevel functional data. [Doctoral Dissertation]. Columbia University; 2012. Available from: https://doi.org/10.7916/D8KD24WH


Columbia University

6. Zhang, Wenfei. Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths.

Degree: 2012, Columbia University

 Pediatric growth paths are smooth trajectories of body-size measurements (e.g. height or weight). They are observed at irregular times due to individual needs. It is… (more)

Subjects/Keywords: Biometry

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

APA (6th Edition):

Zhang, W. (2012). Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D85M6CTC

Chicago Manual of Style (16th Edition):

Zhang, Wenfei. “Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths.” 2012. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D85M6CTC.

MLA Handbook (7th Edition):

Zhang, Wenfei. “Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths.” 2012. Web. 24 Apr 2019.

Vancouver:

Zhang W. Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths. [Internet] [Doctoral dissertation]. Columbia University; 2012. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D85M6CTC.

Council of Science Editors:

Zhang W. Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths. [Doctoral Dissertation]. Columbia University; 2012. Available from: https://doi.org/10.7916/D85M6CTC


Columbia University

7. Zhang, Bingzhi. On Compositional Data Modeling and Its Biomedical Applications.

Degree: 2013, Columbia University

 Compositional data occur naturally in biomedical studies which investigate changes in the proportions of various components of a combined medical measurement. The statistical method to… (more)

Subjects/Keywords: Biometry

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

APA (6th Edition):

Zhang, B. (2013). On Compositional Data Modeling and Its Biomedical Applications. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D83T9G0F

Chicago Manual of Style (16th Edition):

Zhang, Bingzhi. “On Compositional Data Modeling and Its Biomedical Applications.” 2013. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D83T9G0F.

MLA Handbook (7th Edition):

Zhang, Bingzhi. “On Compositional Data Modeling and Its Biomedical Applications.” 2013. Web. 24 Apr 2019.

Vancouver:

Zhang B. On Compositional Data Modeling and Its Biomedical Applications. [Internet] [Doctoral dissertation]. Columbia University; 2013. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D83T9G0F.

Council of Science Editors:

Zhang B. On Compositional Data Modeling and Its Biomedical Applications. [Doctoral Dissertation]. Columbia University; 2013. Available from: https://doi.org/10.7916/D83T9G0F


Columbia University

8. Wang, Yi. Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios.

Degree: 2013, Columbia University

 We derive sample size formulae for survival data with non-proportional hazard functions under both fixed and contiguous alternatives. Sample size determination has been widely discussed… (more)

Subjects/Keywords: Biometry

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APA (6th Edition):

Wang, Y. (2013). Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8ST7X25

Chicago Manual of Style (16th Edition):

Wang, Yi. “Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios.” 2013. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8ST7X25.

MLA Handbook (7th Edition):

Wang, Yi. “Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios.” 2013. Web. 24 Apr 2019.

Vancouver:

Wang Y. Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios. [Internet] [Doctoral dissertation]. Columbia University; 2013. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8ST7X25.

Council of Science Editors:

Wang Y. Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios. [Doctoral Dissertation]. Columbia University; 2013. Available from: https://doi.org/10.7916/D8ST7X25


Columbia University

9. Ciarleglio, Adam J. On Wavelet-Based Methods for Scalar-on-Function Regression.

Degree: 2013, Columbia University

 This thesis consists of work done on three projects which extend and employ wavelet-based functional linear regression. In the first project, we propose a wavelet-based… (more)

Subjects/Keywords: Biometry

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APA (6th Edition):

Ciarleglio, A. J. (2013). On Wavelet-Based Methods for Scalar-on-Function Regression. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8PN951Q

Chicago Manual of Style (16th Edition):

Ciarleglio, Adam J. “On Wavelet-Based Methods for Scalar-on-Function Regression.” 2013. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8PN951Q.

MLA Handbook (7th Edition):

Ciarleglio, Adam J. “On Wavelet-Based Methods for Scalar-on-Function Regression.” 2013. Web. 24 Apr 2019.

Vancouver:

Ciarleglio AJ. On Wavelet-Based Methods for Scalar-on-Function Regression. [Internet] [Doctoral dissertation]. Columbia University; 2013. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8PN951Q.

Council of Science Editors:

Ciarleglio AJ. On Wavelet-Based Methods for Scalar-on-Function Regression. [Doctoral Dissertation]. Columbia University; 2013. Available from: https://doi.org/10.7916/D8PN951Q


Columbia University

10. Xiong, Wei. Sparse functional regression models: minimax rates and contamination.

Degree: 2012, Columbia University

 In functional linear regression and functional generalized linear regression models, the effect of the predictor function is usually assumed to be spread across the index… (more)

Subjects/Keywords: Biometry

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APA (6th Edition):

Xiong, W. (2012). Sparse functional regression models: minimax rates and contamination. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8P55VVD

Chicago Manual of Style (16th Edition):

Xiong, Wei. “Sparse functional regression models: minimax rates and contamination.” 2012. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8P55VVD.

MLA Handbook (7th Edition):

Xiong, Wei. “Sparse functional regression models: minimax rates and contamination.” 2012. Web. 24 Apr 2019.

Vancouver:

Xiong W. Sparse functional regression models: minimax rates and contamination. [Internet] [Doctoral dissertation]. Columbia University; 2012. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8P55VVD.

Council of Science Editors:

Xiong W. Sparse functional regression models: minimax rates and contamination. [Doctoral Dissertation]. Columbia University; 2012. Available from: https://doi.org/10.7916/D8P55VVD


Columbia University

11. Hu, Chih-Chi. Sequential Quantile Estimation Using Continuous Outcomes with Applications in Dose Finding.

Degree: 2014, Columbia University

 We consider dose finding studies where a binary outcome is obtained by dichotomizing a continuous measurement. While the majority of existing dose finding designs work… (more)

Subjects/Keywords: Biometry

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

APA (6th Edition):

Hu, C. (2014). Sequential Quantile Estimation Using Continuous Outcomes with Applications in Dose Finding. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8XG9P38

Chicago Manual of Style (16th Edition):

Hu, Chih-Chi. “Sequential Quantile Estimation Using Continuous Outcomes with Applications in Dose Finding.” 2014. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8XG9P38.

MLA Handbook (7th Edition):

Hu, Chih-Chi. “Sequential Quantile Estimation Using Continuous Outcomes with Applications in Dose Finding.” 2014. Web. 24 Apr 2019.

Vancouver:

Hu C. Sequential Quantile Estimation Using Continuous Outcomes with Applications in Dose Finding. [Internet] [Doctoral dissertation]. Columbia University; 2014. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8XG9P38.

Council of Science Editors:

Hu C. Sequential Quantile Estimation Using Continuous Outcomes with Applications in Dose Finding. [Doctoral Dissertation]. Columbia University; 2014. Available from: https://doi.org/10.7916/D8XG9P38


Columbia University

12. Jia, Xiaoyu. Two-stage Continual Reassessment Method and Patient Heterogeneity for Dose-finding Studies.

Degree: 2014, Columbia University

 The continual reassessment method (CRM) is a widely used model-based design in Phase I dose-finding studies. This dissertation examines two extensions of CRM: one is… (more)

Subjects/Keywords: Biometry

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

APA (6th Edition):

Jia, X. (2014). Two-stage Continual Reassessment Method and Patient Heterogeneity for Dose-finding Studies. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8FQ9TN5

Chicago Manual of Style (16th Edition):

Jia, Xiaoyu. “Two-stage Continual Reassessment Method and Patient Heterogeneity for Dose-finding Studies.” 2014. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8FQ9TN5.

MLA Handbook (7th Edition):

Jia, Xiaoyu. “Two-stage Continual Reassessment Method and Patient Heterogeneity for Dose-finding Studies.” 2014. Web. 24 Apr 2019.

Vancouver:

Jia X. Two-stage Continual Reassessment Method and Patient Heterogeneity for Dose-finding Studies. [Internet] [Doctoral dissertation]. Columbia University; 2014. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8FQ9TN5.

Council of Science Editors:

Jia X. Two-stage Continual Reassessment Method and Patient Heterogeneity for Dose-finding Studies. [Doctoral Dissertation]. Columbia University; 2014. Available from: https://doi.org/10.7916/D8FQ9TN5

13. Scotina, Anthony. Estimation of Multi-Treatment Effects from Observational Data with Applications to Type 2 Diabetes Mellitus.

Degree: Department of Biostatistics, 2018, Brown University

 Identifying the effects of a set of interventions on an outcome is a primary goal in public health, medicine, and the social sciences. While randomized… (more)

Subjects/Keywords: Biometry

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APA (6th Edition):

Scotina, A. (2018). Estimation of Multi-Treatment Effects from Observational Data with Applications to Type 2 Diabetes Mellitus. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792924/

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):

Scotina, Anthony. “Estimation of Multi-Treatment Effects from Observational Data with Applications to Type 2 Diabetes Mellitus.” 2018. Thesis, Brown University. Accessed April 24, 2019. https://repository.library.brown.edu/studio/item/bdr:792924/.

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

MLA Handbook (7th Edition):

Scotina, Anthony. “Estimation of Multi-Treatment Effects from Observational Data with Applications to Type 2 Diabetes Mellitus.” 2018. Web. 24 Apr 2019.

Vancouver:

Scotina A. Estimation of Multi-Treatment Effects from Observational Data with Applications to Type 2 Diabetes Mellitus. [Internet] [Thesis]. Brown University; 2018. [cited 2019 Apr 24]. Available from: https://repository.library.brown.edu/studio/item/bdr:792924/.

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

Council of Science Editors:

Scotina A. Estimation of Multi-Treatment Effects from Observational Data with Applications to Type 2 Diabetes Mellitus. [Thesis]. Brown University; 2018. Available from: https://repository.library.brown.edu/studio/item/bdr:792924/

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


Florida State University

14. Alzahrani, Hissah. Multivariate Binary Longitudinal Data Analysis.

Degree: PhD, Statistics, 2016, Florida State University

The longitudinal data analysis plays an important role in a lot of applications today. It is defined by many measurements are obtained over many times.… (more)

Subjects/Keywords: Statistics; Biometry

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

APA (6th Edition):

Alzahrani, H. (2016). Multivariate Binary Longitudinal Data Analysis. (Doctoral Dissertation). Florida State University. Retrieved from http://purl.flvc.org/fsu/fd/FSU_2017SP_Alzahrani_fsu_0071E_13609 ;

Chicago Manual of Style (16th Edition):

Alzahrani, Hissah. “Multivariate Binary Longitudinal Data Analysis.” 2016. Doctoral Dissertation, Florida State University. Accessed April 24, 2019. http://purl.flvc.org/fsu/fd/FSU_2017SP_Alzahrani_fsu_0071E_13609 ;.

MLA Handbook (7th Edition):

Alzahrani, Hissah. “Multivariate Binary Longitudinal Data Analysis.” 2016. Web. 24 Apr 2019.

Vancouver:

Alzahrani H. Multivariate Binary Longitudinal Data Analysis. [Internet] [Doctoral dissertation]. Florida State University; 2016. [cited 2019 Apr 24]. Available from: http://purl.flvc.org/fsu/fd/FSU_2017SP_Alzahrani_fsu_0071E_13609 ;.

Council of Science Editors:

Alzahrani H. Multivariate Binary Longitudinal Data Analysis. [Doctoral Dissertation]. Florida State University; 2016. Available from: http://purl.flvc.org/fsu/fd/FSU_2017SP_Alzahrani_fsu_0071E_13609 ;


Virginia Commonwealth University

15. Slaymaker, Amos Addison, Jr. AN EASY ACCESS INTERACTIVE STATISTICAL SYSTEM FOR USE AND TRAINING IN BIOMETRY.

Degree: MS, Biometry, 1971, Virginia Commonwealth University

  One of the most important tools of the applied statistician is the digital computer. It is natural, therefore, for the instructor in applied statistics… (more)

Subjects/Keywords: Biometry

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APA (6th Edition):

Slaymaker, Amos Addison, J. (1971). AN EASY ACCESS INTERACTIVE STATISTICAL SYSTEM FOR USE AND TRAINING IN BIOMETRY. (Thesis). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/5523

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):

Slaymaker, Amos Addison, Jr. “AN EASY ACCESS INTERACTIVE STATISTICAL SYSTEM FOR USE AND TRAINING IN BIOMETRY.” 1971. Thesis, Virginia Commonwealth University. Accessed April 24, 2019. https://scholarscompass.vcu.edu/etd/5523.

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

MLA Handbook (7th Edition):

Slaymaker, Amos Addison, Jr. “AN EASY ACCESS INTERACTIVE STATISTICAL SYSTEM FOR USE AND TRAINING IN BIOMETRY.” 1971. Web. 24 Apr 2019.

Vancouver:

Slaymaker, Amos Addison J. AN EASY ACCESS INTERACTIVE STATISTICAL SYSTEM FOR USE AND TRAINING IN BIOMETRY. [Internet] [Thesis]. Virginia Commonwealth University; 1971. [cited 2019 Apr 24]. Available from: https://scholarscompass.vcu.edu/etd/5523.

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

Council of Science Editors:

Slaymaker, Amos Addison J. AN EASY ACCESS INTERACTIVE STATISTICAL SYSTEM FOR USE AND TRAINING IN BIOMETRY. [Thesis]. Virginia Commonwealth University; 1971. Available from: https://scholarscompass.vcu.edu/etd/5523

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


Columbia University

16. Agne, Michael Robert. An Assortment of Unsupervised and Supervised Applications to Large Data.

Degree: 2015, Columbia University

 This dissertation presents several methods that can be applied to large datasets with an enormous number of covariates. It is divided into two parts. In… (more)

Subjects/Keywords: Statistics; Biometry

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APA (6th Edition):

Agne, M. R. (2015). An Assortment of Unsupervised and Supervised Applications to Large Data. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D828073N

Chicago Manual of Style (16th Edition):

Agne, Michael Robert. “An Assortment of Unsupervised and Supervised Applications to Large Data.” 2015. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D828073N.

MLA Handbook (7th Edition):

Agne, Michael Robert. “An Assortment of Unsupervised and Supervised Applications to Large Data.” 2015. Web. 24 Apr 2019.

Vancouver:

Agne MR. An Assortment of Unsupervised and Supervised Applications to Large Data. [Internet] [Doctoral dissertation]. Columbia University; 2015. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D828073N.

Council of Science Editors:

Agne MR. An Assortment of Unsupervised and Supervised Applications to Large Data. [Doctoral Dissertation]. Columbia University; 2015. Available from: https://doi.org/10.7916/D828073N

17. Farrell, Patrick. The use of a small scale study and regional data sources to understand grassland bird habitat relationships .

Degree: 2015, Auburn University

 Habitat loss and degradation, among other factors, contributed to a steady decline in grassland bird populations across the U.S. Many large scale management efforts are… (more)

Subjects/Keywords: Biometry

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APA (6th Edition):

Farrell, P. (2015). The use of a small scale study and regional data sources to understand grassland bird habitat relationships . (Masters Thesis). Auburn University. Retrieved from http://hdl.handle.net/10415/4586

Chicago Manual of Style (16th Edition):

Farrell, Patrick. “The use of a small scale study and regional data sources to understand grassland bird habitat relationships .” 2015. Masters Thesis, Auburn University. Accessed April 24, 2019. http://hdl.handle.net/10415/4586.

MLA Handbook (7th Edition):

Farrell, Patrick. “The use of a small scale study and regional data sources to understand grassland bird habitat relationships .” 2015. Web. 24 Apr 2019.

Vancouver:

Farrell P. The use of a small scale study and regional data sources to understand grassland bird habitat relationships . [Internet] [Masters thesis]. Auburn University; 2015. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/10415/4586.

Council of Science Editors:

Farrell P. The use of a small scale study and regional data sources to understand grassland bird habitat relationships . [Masters Thesis]. Auburn University; 2015. Available from: http://hdl.handle.net/10415/4586


Florida State University

18. Yu, Kaixian. Statistical Methods for Big Data and Their Applications in Biomedical Research.

Degree: PhD, Statistics, 2016, Florida State University

Big data has brought both opportunities and challenges to our research community. Complex models can be built with large volumes of data researchers have never… (more)

Subjects/Keywords: Statistics; Biometry; Bioinformatics

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

APA (6th Edition):

Yu, K. (2016). Statistical Methods for Big Data and Their Applications in Biomedical Research. (Doctoral Dissertation). Florida State University. Retrieved from http://purl.flvc.org/fsu/fd/FSU_2016SP_Yu_fsu_0071E_13079 ;

Chicago Manual of Style (16th Edition):

Yu, Kaixian. “Statistical Methods for Big Data and Their Applications in Biomedical Research.” 2016. Doctoral Dissertation, Florida State University. Accessed April 24, 2019. http://purl.flvc.org/fsu/fd/FSU_2016SP_Yu_fsu_0071E_13079 ;.

MLA Handbook (7th Edition):

Yu, Kaixian. “Statistical Methods for Big Data and Their Applications in Biomedical Research.” 2016. Web. 24 Apr 2019.

Vancouver:

Yu K. Statistical Methods for Big Data and Their Applications in Biomedical Research. [Internet] [Doctoral dissertation]. Florida State University; 2016. [cited 2019 Apr 24]. Available from: http://purl.flvc.org/fsu/fd/FSU_2016SP_Yu_fsu_0071E_13079 ;.

Council of Science Editors:

Yu K. Statistical Methods for Big Data and Their Applications in Biomedical Research. [Doctoral Dissertation]. Florida State University; 2016. Available from: http://purl.flvc.org/fsu/fd/FSU_2016SP_Yu_fsu_0071E_13079 ;


Columbia University

19. Glenwinkel, Lori Ann. In silico prediction of regulators of neuronal identity through phylogenetic footprinting.

Degree: 2018, Columbia University

 How individual neurons in a nervous system give rise to complex function, behavior and consciousness in higher animals has been studied for over a century,… (more)

Subjects/Keywords: Biometry; Phylogeny; Neurons

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

APA (6th Edition):

Glenwinkel, L. A. (2018). In silico prediction of regulators of neuronal identity through phylogenetic footprinting. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8ZW33SC

Chicago Manual of Style (16th Edition):

Glenwinkel, Lori Ann. “In silico prediction of regulators of neuronal identity through phylogenetic footprinting.” 2018. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8ZW33SC.

MLA Handbook (7th Edition):

Glenwinkel, Lori Ann. “In silico prediction of regulators of neuronal identity through phylogenetic footprinting.” 2018. Web. 24 Apr 2019.

Vancouver:

Glenwinkel LA. In silico prediction of regulators of neuronal identity through phylogenetic footprinting. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8ZW33SC.

Council of Science Editors:

Glenwinkel LA. In silico prediction of regulators of neuronal identity through phylogenetic footprinting. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D8ZW33SC


Columbia University

20. Zhang, Yulei. Sparse selection in Cox models with functional predictors.

Degree: 2012, Columbia University

 This thesis investigates sparse selection in the Cox regression models with functional predictors. Interest in sparse selection with functional predictors (Lindquist and McKeague, 2009; McKeague… (more)

Subjects/Keywords: Biometry; Statistics; Mathematics

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APA (6th Edition):

Zhang, Y. (2012). Sparse selection in Cox models with functional predictors. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8X63V39

Chicago Manual of Style (16th Edition):

Zhang, Yulei. “Sparse selection in Cox models with functional predictors.” 2012. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8X63V39.

MLA Handbook (7th Edition):

Zhang, Yulei. “Sparse selection in Cox models with functional predictors.” 2012. Web. 24 Apr 2019.

Vancouver:

Zhang Y. Sparse selection in Cox models with functional predictors. [Internet] [Doctoral dissertation]. Columbia University; 2012. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8X63V39.

Council of Science Editors:

Zhang Y. Sparse selection in Cox models with functional predictors. [Doctoral Dissertation]. Columbia University; 2012. Available from: https://doi.org/10.7916/D8X63V39


Columbia University

21. Iliadis, Alexandros. Haplotype Inference through Sequential Monte Carlo.

Degree: 2013, Columbia University

 Technological advances in the last decade have given rise to large Genome Wide Studies which have helped researchers get better insights in the genetic basis… (more)

Subjects/Keywords: Biometry; Engineering; Genetics

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APA (6th Edition):

Iliadis, A. (2013). Haplotype Inference through Sequential Monte Carlo. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8SF33CZ

Chicago Manual of Style (16th Edition):

Iliadis, Alexandros. “Haplotype Inference through Sequential Monte Carlo.” 2013. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8SF33CZ.

MLA Handbook (7th Edition):

Iliadis, Alexandros. “Haplotype Inference through Sequential Monte Carlo.” 2013. Web. 24 Apr 2019.

Vancouver:

Iliadis A. Haplotype Inference through Sequential Monte Carlo. [Internet] [Doctoral dissertation]. Columbia University; 2013. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8SF33CZ.

Council of Science Editors:

Iliadis A. Haplotype Inference through Sequential Monte Carlo. [Doctoral Dissertation]. Columbia University; 2013. Available from: https://doi.org/10.7916/D8SF33CZ


The Ohio State University

22. Shrikhande, Vishweshwar Jageshwar,1930-. Relative accuracy of least squares and iterative maximum likelihood methods for the estimation of fixed effects and variance components.

Degree: PhD, Graduate School, 1971, The Ohio State University

Subjects/Keywords: Biology; Biometry

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

APA (6th Edition):

Shrikhande, V. J. (1971). Relative accuracy of least squares and iterative maximum likelihood methods for the estimation of fixed effects and variance components. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1486663682099574

Chicago Manual of Style (16th Edition):

Shrikhande, Vishweshwar Jageshwar,1930-. “Relative accuracy of least squares and iterative maximum likelihood methods for the estimation of fixed effects and variance components.” 1971. Doctoral Dissertation, The Ohio State University. Accessed April 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486663682099574.

MLA Handbook (7th Edition):

Shrikhande, Vishweshwar Jageshwar,1930-. “Relative accuracy of least squares and iterative maximum likelihood methods for the estimation of fixed effects and variance components.” 1971. Web. 24 Apr 2019.

Vancouver:

Shrikhande VJ. Relative accuracy of least squares and iterative maximum likelihood methods for the estimation of fixed effects and variance components. [Internet] [Doctoral dissertation]. The Ohio State University; 1971. [cited 2019 Apr 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486663682099574.

Council of Science Editors:

Shrikhande VJ. Relative accuracy of least squares and iterative maximum likelihood methods for the estimation of fixed effects and variance components. [Doctoral Dissertation]. The Ohio State University; 1971. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486663682099574


University of Hawaii – Manoa

23. Yamashita, Toyoko S. Applications of distribution theory in quantitative genetics.

Degree: PhD, 2009, University of Hawaii – Manoa

Typescript.

Bibliography: leaves 142-145.

Microfiche.

xi, 145 leaves ill

The present study was designed to develop procedures for estimating genetic parameters in a quantitative trait… (more)

Subjects/Keywords: Genetics  – Mathematical models; Biometry

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

APA (6th Edition):

Yamashita, T. S. (2009). Applications of distribution theory in quantitative genetics. (Doctoral Dissertation). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/11501

Chicago Manual of Style (16th Edition):

Yamashita, Toyoko S. “Applications of distribution theory in quantitative genetics.” 2009. Doctoral Dissertation, University of Hawaii – Manoa. Accessed April 24, 2019. http://hdl.handle.net/10125/11501.

MLA Handbook (7th Edition):

Yamashita, Toyoko S. “Applications of distribution theory in quantitative genetics.” 2009. Web. 24 Apr 2019.

Vancouver:

Yamashita TS. Applications of distribution theory in quantitative genetics. [Internet] [Doctoral dissertation]. University of Hawaii – Manoa; 2009. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/10125/11501.

Council of Science Editors:

Yamashita TS. Applications of distribution theory in quantitative genetics. [Doctoral Dissertation]. University of Hawaii – Manoa; 2009. Available from: http://hdl.handle.net/10125/11501


Florida State University

24. Ashki, Haleh. Stochastic Modeling of Epidemic Diseases Considering Dynamic Contact Networks and Genealogy Information.

Degree: PhD, Scientific Computing, 2015, Florida State University

 Human life and diseases are inseparable. For millions of years, humans and their ancestors suffered from diseases, caused by infectious pathogens (e.g., bacteria, viruses, parasites)… (more)

Subjects/Keywords: Applied mathematics; Epidemiology; Biometry

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

APA (6th Edition):

Ashki, H. (2015). Stochastic Modeling of Epidemic Diseases Considering Dynamic Contact Networks and Genealogy Information. (Doctoral Dissertation). Florida State University. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-9542 ;

Chicago Manual of Style (16th Edition):

Ashki, Haleh. “Stochastic Modeling of Epidemic Diseases Considering Dynamic Contact Networks and Genealogy Information.” 2015. Doctoral Dissertation, Florida State University. Accessed April 24, 2019. http://purl.flvc.org/fsu/fd/FSU_migr_etd-9542 ;.

MLA Handbook (7th Edition):

Ashki, Haleh. “Stochastic Modeling of Epidemic Diseases Considering Dynamic Contact Networks and Genealogy Information.” 2015. Web. 24 Apr 2019.

Vancouver:

Ashki H. Stochastic Modeling of Epidemic Diseases Considering Dynamic Contact Networks and Genealogy Information. [Internet] [Doctoral dissertation]. Florida State University; 2015. [cited 2019 Apr 24]. Available from: http://purl.flvc.org/fsu/fd/FSU_migr_etd-9542 ;.

Council of Science Editors:

Ashki H. Stochastic Modeling of Epidemic Diseases Considering Dynamic Contact Networks and Genealogy Information. [Doctoral Dissertation]. Florida State University; 2015. Available from: http://purl.flvc.org/fsu/fd/FSU_migr_etd-9542 ;


Florida State University

25. Soda, K. James (Kenneth James). Parma: Applications of Vector-Autoregressive Models to Biological Inference with an Emphasis on Procrustes-Based Data.

Degree: PhD, Scientific Computing, 2017, Florida State University

 Many phenomena in ecology, evolution, and organismal biology relate to how a system changes through time. Unfortunately, most of the statistical methods that are common… (more)

Subjects/Keywords: Biometry; Applied mathematics; Morphology

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APA (6th Edition):

Soda, K. J. (. J. (2017). Parma: Applications of Vector-Autoregressive Models to Biological Inference with an Emphasis on Procrustes-Based Data. (Doctoral Dissertation). Florida State University. Retrieved from http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Soda_fsu_0071E_13917_P ;

Chicago Manual of Style (16th Edition):

Soda, K James (Kenneth James). “Parma: Applications of Vector-Autoregressive Models to Biological Inference with an Emphasis on Procrustes-Based Data.” 2017. Doctoral Dissertation, Florida State University. Accessed April 24, 2019. http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Soda_fsu_0071E_13917_P ;.

MLA Handbook (7th Edition):

Soda, K James (Kenneth James). “Parma: Applications of Vector-Autoregressive Models to Biological Inference with an Emphasis on Procrustes-Based Data.” 2017. Web. 24 Apr 2019.

Vancouver:

Soda KJ(J. Parma: Applications of Vector-Autoregressive Models to Biological Inference with an Emphasis on Procrustes-Based Data. [Internet] [Doctoral dissertation]. Florida State University; 2017. [cited 2019 Apr 24]. Available from: http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Soda_fsu_0071E_13917_P ;.

Council of Science Editors:

Soda KJ(J. Parma: Applications of Vector-Autoregressive Models to Biological Inference with an Emphasis on Procrustes-Based Data. [Doctoral Dissertation]. Florida State University; 2017. Available from: http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Soda_fsu_0071E_13917_P ;


Ryerson University

26. Rashid, Fatema. Inverse biometrics for keystroke dynamics.

Degree: 2009, Ryerson University

 Tremendous research has been done in the area of computer security using biometrics. But not much has been done in the field of inverse biometrics,… (more)

Subjects/Keywords: Biometry; Ryerson University  – Dissertations

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

APA (6th Edition):

Rashid, F. (2009). Inverse biometrics for keystroke dynamics. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1088

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):

Rashid, Fatema. “Inverse biometrics for keystroke dynamics.” 2009. Thesis, Ryerson University. Accessed April 24, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A1088.

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

MLA Handbook (7th Edition):

Rashid, Fatema. “Inverse biometrics for keystroke dynamics.” 2009. Web. 24 Apr 2019.

Vancouver:

Rashid F. Inverse biometrics for keystroke dynamics. [Internet] [Thesis]. Ryerson University; 2009. [cited 2019 Apr 24]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1088.

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

Council of Science Editors:

Rashid F. Inverse biometrics for keystroke dynamics. [Thesis]. Ryerson University; 2009. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1088

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


Rutgers University

27. Reddy, Anupama Rajasekhara, 1981-. Combinatorial pattern-based survival analysis with applications in biology and medicine:.

Degree: PhD, Operations Research, 2009, Rutgers University

In the current era of targeted therapies and personalized medicine, survival analysis (predicting survival time of patients) is a very important problem. Survival analysis is… (more)

Subjects/Keywords: Survival analysis (Biometry); Medical statistics

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APA (6th Edition):

Reddy, Anupama Rajasekhara, 1. (2009). Combinatorial pattern-based survival analysis with applications in biology and medicine:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051891

Chicago Manual of Style (16th Edition):

Reddy, Anupama Rajasekhara, 1981-. “Combinatorial pattern-based survival analysis with applications in biology and medicine:.” 2009. Doctoral Dissertation, Rutgers University. Accessed April 24, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051891.

MLA Handbook (7th Edition):

Reddy, Anupama Rajasekhara, 1981-. “Combinatorial pattern-based survival analysis with applications in biology and medicine:.” 2009. Web. 24 Apr 2019.

Vancouver:

Reddy, Anupama Rajasekhara 1. Combinatorial pattern-based survival analysis with applications in biology and medicine:. [Internet] [Doctoral dissertation]. Rutgers University; 2009. [cited 2019 Apr 24]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051891.

Council of Science Editors:

Reddy, Anupama Rajasekhara 1. Combinatorial pattern-based survival analysis with applications in biology and medicine:. [Doctoral Dissertation]. Rutgers University; 2009. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051891


Columbia University

28. McBride, Russell Bailey. Obesity and Aggressive Prostate Cancer: Bias and Biology.

Degree: 2012, Columbia University

 Obesity is suspected to be a risk factor for aggressive PC due to its associations with altered circulating levels of metabolic and sex steroid hormones… (more)

Subjects/Keywords: Epidemiology; Molecular biology; Biometry

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APA (6th Edition):

McBride, R. B. (2012). Obesity and Aggressive Prostate Cancer: Bias and Biology. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D83N29G8

Chicago Manual of Style (16th Edition):

McBride, Russell Bailey. “Obesity and Aggressive Prostate Cancer: Bias and Biology.” 2012. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D83N29G8.

MLA Handbook (7th Edition):

McBride, Russell Bailey. “Obesity and Aggressive Prostate Cancer: Bias and Biology.” 2012. Web. 24 Apr 2019.

Vancouver:

McBride RB. Obesity and Aggressive Prostate Cancer: Bias and Biology. [Internet] [Doctoral dissertation]. Columbia University; 2012. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D83N29G8.

Council of Science Editors:

McBride RB. Obesity and Aggressive Prostate Cancer: Bias and Biology. [Doctoral Dissertation]. Columbia University; 2012. Available from: https://doi.org/10.7916/D83N29G8


Columbia University

29. Park, Hyung. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors.

Degree: 2018, Columbia University

 In this dissertation, we develop regression models for estimating interactions between a treatment variable and a set of baseline predictors in their eect on the… (more)

Subjects/Keywords: Biometry; Regression analysis; Therapeutics; Statistics

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

APA (6th Edition):

Park, H. (2018). Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8GJ11HD

Chicago Manual of Style (16th Edition):

Park, Hyung. “Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors.” 2018. Doctoral Dissertation, Columbia University. Accessed April 24, 2019. https://doi.org/10.7916/D8GJ11HD.

MLA Handbook (7th Edition):

Park, Hyung. “Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors.” 2018. Web. 24 Apr 2019.

Vancouver:

Park H. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Apr 24]. Available from: https://doi.org/10.7916/D8GJ11HD.

Council of Science Editors:

Park H. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D8GJ11HD


University of Johannesburg

30. Andrade, Christopher Grant. Investigating and comparing multimodal biometric techniques.

Degree: 2009, University of Johannesburg

M.Sc.

Determining the identity of a person has become vital in today’s world. Emphasis on security has become increasingly more common in the last few… (more)

Subjects/Keywords: Biometry; Biometric identification; Statistical matching

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

APA (6th Edition):

Andrade, C. G. (2009). Investigating and comparing multimodal biometric techniques. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/2538

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):

Andrade, Christopher Grant. “Investigating and comparing multimodal biometric techniques.” 2009. Thesis, University of Johannesburg. Accessed April 24, 2019. http://hdl.handle.net/10210/2538.

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

MLA Handbook (7th Edition):

Andrade, Christopher Grant. “Investigating and comparing multimodal biometric techniques.” 2009. Web. 24 Apr 2019.

Vancouver:

Andrade CG. Investigating and comparing multimodal biometric techniques. [Internet] [Thesis]. University of Johannesburg; 2009. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/10210/2538.

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

Council of Science Editors:

Andrade CG. Investigating and comparing multimodal biometric techniques. [Thesis]. University of Johannesburg; 2009. Available from: http://hdl.handle.net/10210/2538

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

[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

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