In this week’s brief we feature a guest blog on Ethical Data Science; our course spotlight is:
- July 17 – Aug 14: Logistic Regression
See you in class!
Ethical Data Science
As data science has evolved into AI, the intimate connection between the scientist and the data is growing distant. As black-box models, with their superior predictive power, increasingly dominate, the modeler’s ability to recognize and avoid harmful and even illegal […]
Word of the Week
Squashing Function
In logistic regression, a squashing function takes the output of a logit model, which produces odds, and “squashes” it so that it fits in the range between 0 and 1 and can be interpreted as a probability.
Instructor Spotlight
Joseph Hilbe
Joseph Hilbe, a prolific author in the field of statistical modeling, taught a number of Statistics.com courses right up until his death, just over 3 years ago. In addition to his numerous contributions in statistics, Joe had an abiding interest in astrostatistics and would happily show any visitor his treasured collection of […]
Course Spotlights
Logistic Regression (July 17 – Aug 14)
Developed by Joseph Hilbe and now taught by James Hardin, this course covers:
- How to specify when a logistic regression model is used, and its form
- How to fit a logistic model
- Using information criteria to assess model performance
- Dealing with risk factors, confounders, effect modifiers, interactions
- Dealing with excessive dispersion
Spatial Statistics for GIS Using R (July 10 – Aug 7)
In this course, you will learn how to:
- Describe spatial data using maps
- Describe and implement the ways spatial data is represented in R
- Use spastat to analyze patterns in point data, and detect non-randomness
- Use spdep to analyze patterns in area data, and measure spatial autocorrelation in lattice data
- Use gstat to analyze continuous field data and create contour maps
Your instructor is Prof. Dave Unwin, co-author of Geographic Information Analysis (Wiley), and a variety of other books on this topic.
See you in class!
