Statistical Modeling

The course has helped me understand how survival curves and hazard ratios are obtained.

I fully enjoyed the challenge of working through the assignments and reading Dr. Pardoe's book. I gained some new insights into regression analysis. In other words, my horizons were expanded and I learned a great deal.

One of the best classes I've taken with Statistics.com

I was really impressed with how the homework assignments helped me learn the material.  In many stats classes I've taken other places, homework assignments can seem punitive for those who don't understand the material, but this homework seemed to further enhance my learning experience. I…

The course helps me understand different approaches (pros and cons of each approach) in sample size estimates and provides hands-on experience in using various softwares. I highly recommend this course to folks involved in clinical study design

My statistical knowledge and base continues to increase significantlynow with each additional Statistics.com course taken. While I may not be usingall the learnings directly in my day-to-day work (for example, regressionmodeling or calculating sample sizes), they are all influencing how I thinkabout, approach, and work…

Even though I used to perform sample size calculations before - I was always skeptical of my work and was never confident if I was using the right methodologies.This course has helped me understand when to apply which technique and I can calculate sample sizes…

It helped me immediately with my job. I was able to understand and apply the concepts to a time-series analysis. The R package I was using (vars) required that I read the documentation, which used much of the terminology and concepts in this class. I…

I highly recommend this course for anyone new to R but planning to take GLM, Logistic regression etc as it gives such a great foundation. I am an actuary and all the concepts dealt with in this course are highly applicable to everyday modelling work

I found the course to be a valuable introduction to resampling and bootstrapping methods. I am recommending this course to colleagues. Thanks for an engaging and informative course.

I thought the notes were fantastic - very clear, and interesting. One of the best courses I've ever taken!

In conjunction with the powerful 'Resampling add-in for Excel' software, resampling methodology seems to be a novel and versatile tool that I expect to frequently use as an adjunct to the more formal established methods of data analysis.

I greatly appreciated learning about SEM from a foremost expert of the subject. I now have a more thorough understanding of SEM from theoretical and practical perspectives.

I am only beginning to use SEM. Without the course I would have lacked the understanding and confidence to try and use SEM. I now feel confident that I could apply one of the models and use the results for work purposes and publication.

I found it challenging but also a rewarding experience. After completing this course I am now more confident about undertaking statistical analysis.

This is a very well prepared course. The instructor not only pointed out the right book for statisticians but also provided very useful lecture notes that helped a lot

The instructor, Dr. LaBudde was highly effective.  His written lectures contributed greatly to my understanding and his patient and lengthy answers to my at times overly general questions were extremely informative.  It would be hard or impossible to get this information on my own

This course has been a great help to me. It will lead to a clearer understanding of the data and to better reports and articles.

I need to know R to perform my job as I am a product manager for a software company that interacts with R.  I am now able to understand R scripts and hopefully contribute some of my own. The instructor's videos were great. Just hearing his voice…

I came into this course knowing the basics of what Structural Equation Modeling could do. I am leaving this course with a whole new understanding of the ways it can be used to answer many different types of research questions. From psychometrics to multi-level modeling,…

I learned that there are several ways to use bootstrap. The course is an excellent starting point for anyone working with this methodology. I intend to use bootstrap in spatial analysis.

The course will provide a solid background/springboard to my research in Longitudinal Data Analysis.  Questions which required participants to replicate examples in text consolidate learning very much! Instructors were on hand to answer every question that came their way.

Brian Marx is the best teacher I have had. The homework was straight forward and Brian responded to questions on the discussion board in a timely fashion.

I work on projects with multilevel data and this course solidified my understanding of mixed modeling statistical concepts and available analysis packages. I am very happy with this course. The instructors and TA were very responsive and explained the material very clearly. I appreciated having…

This is my fourth course that I have taken at Statistics.com and I am very satisfied with the level and quality of instruction. I will continue to look for: courses that I can take whenever possible.

The instructor is fantastic and it was a pleasure to interact with him throughout the duration of the course.

I need all the modeling practice I can get in R. I thought this class was very helpful to that end and I plan to take additional courses as a result

This course will greatly contribute to my work as an environmental data scientist and division director.  This course was a great introduction of how to use R to fit the models and how to interpret the R output!