Sep 28, 2023  
2020-2021 Graduate Catalog 
2020-2021 Graduate Catalog [ARCHIVED CATALOG]

PHC 7055 Biostatistical Computing

Credit Hours: 3

This course provides a broad foundation in modern biostatistical computing methods relevant to public health research. It prepares Ph.D. students with advanced computing skills for dissertation research. Topics include algorithms in matrix algebra, Newton Raphson, Fisher’s scoring, the EM algorithm, bootstrap, random number generation, Monte Carlo Markov Chain, and data augmentation.

Prerequisite(s): STA 6447 , PHC 7058 
Corequisite(s): None.
Co-Prerequisite(s): None.

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