Develop the ability to critically evaluate uses (and misuses) of statistics. The course should be of value to anyone intending to pursue further study in any field involving the analysis of data.

for statistical analyses of the data. a brief revision of unmeasured sources of bias due to unmeasured confounding, non-random selection into a study, and measurement error/misclassification; ...

Bayesian methods are becoming an increasingly popular approach to data analysis across a wide range of research ... at scientific researchers and has a forthcoming new textbook on statistics and data ...

Discover the power of RStudio for data analysis and statistics in this practical ... This course offers a thorough, hands-on introduction to working with R and RStudio, which is the most widely used ...

Statistics is the application of probability theory to data. Using statistical descriptions of data, you can determine the probability of events. We can also use the distributions that we understand ...

Regression Analysis is a fundamental tool in science and risk management. In this session we explore the assumptions and mathematics necessary to use this tool. The Introduction to Quantitative Risk ...

Research on the economics of digitization studies how markets change when digitization leads to reproduction at zero cost and an abundance of digital data. Digital technology ... and for determining ...