- knowledge of standard terminology of the field (k1,k2)
- knowing basic principles for analyzing clinical trials data (k1, k2)
- analyzing complex high dimensional data sets such as whole-genome DNA, RNA-seq, or single-cell omics data (k4)
- analyzing and interpreting real world biostatistical data (k4,k5)
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- basic terminology and concepts such as experiments versus observational studies
- power/sample size planning
- multiple testing and/or meta analysis
- modeling and inference for complex, high-dimensional biostatistical data
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