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Degree matches any of "PhD - Doctor of Philosophy" AND Schools and Programs matches any of "Biostatistics"

Displaying results 1 to 20 of 151.
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1. Gao, Xiaotian (2020) Joint Modeling of Longitudinal and Survival Data, and Robust Nonparametric Regression. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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2. Tuft, Marie (2020) Statistical Learning for the Spectral Analysis of Time Series Data. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
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3. Ding, Tianyu (2020) Advances in Statistical and Machine Learning Methods for Image Data, with Application to Alzheimer's Disease. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
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4. Lin, Huang (2020) Statistical Theory and Methodology for the Analysis of Microbial Compositions, with Applications. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
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5. Sun, Tao (2020) New statistical methods for complex survival data with high-dimensional covariates. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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6. Zhang, Jun (2020) Interpretable Analysis of Multivariate Functional Data. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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7. Rahman, Md Tanbin (2019) Classification and clustering for RNA-seq data with variable selection. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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8. Sun, Zhe (2019) Novel statistical methods in analyzing single cell sequencing data. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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9. Zhu, Li (2019) Bayesian variable selection model and differential co-expression network analysis for multi-omics data integration. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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10. Li, Xingyuan (2019) Modeling exposure-time-response association in the presence of competing risks. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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11. Wang, Shu (2019) Clustering methods with variable selection for data with mixed variable types or limits of detection. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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12. Zhang, Di (2019) Inference on win ratio for clustered semi-competing risk data. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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13. Keener, Christopher (2018) Power and sample size determination for stepped wedge cluster randomized trials. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
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14. Pleis, John (2018) Mixtures of discrete and continuous variables: considerations for dimension reduction. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
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15. Beer, Joanne C (2018) Predicting clinical variables from neuroimages using fused sparse group lasso. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
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16. Fang, Zhou (2018) Integration and missing data handling in multiple omics studies. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
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17. Ma, Tianzhou (2018) Differential expression and feature selection in the analysis of multiple omics studies. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
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18. Shuai, Yongli (2018) Multinomial logistic regression and prediction accuracy for interval-censored competing risks data. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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19. Zhang, Song (2018) Diagnostic accuracy analysis for ordinal competing risk outcomes using ROC surface. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Item availability may be restricted.
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20. Abberbock, Judah (2017) Usage of surrogate endpoints in the design and analysis of clinical trials. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
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Displaying results 1 to 20 of 151.
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