This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models and ...

The Certificate in Data Science provides you with the knowledge to draw conclusions on data reliably and robustly. Courses in Computer Science, Statistics and Management will teach you to implement an ...

Applying convolutional neural networks on derived allele frequency data, leveraging efficient data reuse, and post-processing methods to perform fine-grained detection of selective sweeps.

ANOVA analysis Experimental blocking Factorial designs Multilinear regression models Response surface methodology Analytical chemistry methods Prerequisites An undergraduate statistics course.

Optimization Tips: Use data.table for faster data manipulation. Profile code with profvis to identify bottlenecks. Conclusion Combining R and Linux creates a powerful environment for statistical ...

Mediation analysis examines what variables may lie on the causal pathway between an exposure and an outcome. Mediation models are useful for understanding aetiology, providing evidence to confirm and ...

A new publication by two University of Cincinnati researchers contends that adjusting how researchers approach their statistical analysis has the potential to change the lives of children and ...