If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
Help
If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables.Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with stateoftheart techniques for building, interpreting, and assessing the performance of LR models. New and updated features include: A chapter on the analysis of correlated outcome data A wealth of additional material for topics ranging from Bayesian methods to assessing model fit Rich data sets from realworld studies that demonstrate each method under discussion Detailed examples and interpretation of the presented results as well as exercises throughoutApplied Logistic Regression, Third Edition is a musthave guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
I was really looking forward to the Applied Logistic Regression course, but I faced some technical difficulties accessing the material. After a few tries, I gave up. I hope they improve their platform for future students. Not what I expected!
M
Maria Gomez
Solid Foundation for Data Science
I recently took the Applied Logistic Regression course and it really helped me understand the application of logistic regression in data science. The content was engaging and practical. Definitely a worthwhile investment for anyone looking to deepen their analytics skills!
L
Lily Chen
Great Course, Minor Issues
I found the Applied Logistic Regression course to be very informative, but the audio quality could use some improvement. A few lessons had poor sound, which made it difficult to focus. Other than that, I enjoyed the material!
R
Raj Patel
Good, but a bit rushed
The Applied Logistic Regression course has some great info, but I felt like some sections were a little rushed. The examples were helpful, but more in-depth explanations would have made it even better. Still, I learned a lot overall!
For MAP (Minimum Advertised Price) violations and Intellectual Property (IP) or Trademark concerns, please contact:
support@ergodebooks.com
⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.
