Doctor of Philosophy (PhD) in Statistics - Biostatistics
University of Waterloo · ON · rkxbk0Aih
Doctor of Philosophy (PhD) in Statistics - Biostatistics at University of Waterloo lists 23 subjects. Subjects include Experimental Design, Generalized Linear Models and Applications and Statistical Methods for Process Improvement. The topics that come up most are statistical learning, statistical computing and applied statistics (12, 11 and 7 subjects).
Compiled from public course information: approximate, not official.
University of Waterloo
Doctoral
What you'll study in Doctor of Philosophy (PhD) in Statistics - Biostatistics
Example subjects: Experimental Design, Generalized Linear Models and Applications, Statistical Methods for Process Improvement, Introduction to the Analysis of Spatial Data in Health Research, Computational Inference, Statistical Learning - Classification, Data Visualization, Statistical Learning - Advanced Regression, Sampling Theory and Practice, PhD Research Skills, Theory of Probability 1, Theory of Probability 2.
Frequently asked questions
What will I study in Doctor of Philosophy (PhD) in Statistics - Biostatistics?
Doctor of Philosophy (PhD) in Statistics - Biostatistics covers areas like statistical-learning, statistical-computing, applied-statistics, biostatistics, data-analysis, stochastic-processes, mathematical-economics, data-mining.
Who offers Doctor of Philosophy (PhD) in Statistics - Biostatistics?
Doctor of Philosophy (PhD) in Statistics - Biostatistics is offered by University of Waterloo, ON.
Considering Doctor of Philosophy (PhD) in Statistics - Biostatistics?
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Sources: University of Waterloo official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.
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