Pricelists.org Pricelists.org Přihlásit se Registrovat se

Modeling Binary Correlated Responses

☆☆☆☆☆ (0 reviews)
Show price history
Modeling Binary Correlated Responses
Lowest price (incl. delivery)
104,99 USD
Typical price2 389,74 PLN
Lowest (90 days)89,87 PLN
Offers6
Last updatedpřed 1 týdnem
See best offer
Price history (90 days)
Full history
2026-08-08 2026-08-15
Historie cen
AktualizovánoCena
2026-08-0889,87
2026-08-1589,87
Prodejce Product price Delivery Celkem Dostupnost Updated
SP SpringerNatureLink Shop INT 104,99 USD free 104,99 USD Dostupné před 1 týdnem View offer
SP SpringerNatureLink Shop INT 118,99 USD 29,00 USD 147,99 USD Dostupné před 1 týdnem View offer
SP SpringerNatureLink Shop INT 118,99 USD 15,00 USD 133,99 USD Dostupné před 1 týdnem View offer
SP SpringerNatureLink Shop INT 123,90 EUR free 123,90 EUR Dostupné před 1 týdnem View offer
SP SpringerNatureLink Shop INT 21 449,00 JPY 25,00 JPY 21 474,00 JPY Dostupné před 1 týdnem View offer
SP Springer Nature Author 21 449,00 JPY 15,00 JPY 21 464,00 JPY Dostupné před 1 týdnem View offer

Ceny a dostupnost se mohou změnit. Naposledy aktualizováno: 15.08.2026 04:44.

0,0
☆☆☆☆☆
0 reviews
5★ 0%
4★ 0%
3★ 0%
2★ 0%
1★ 0%

Product reviews

Rating
No reviews yet — be the first!
This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages, as well as showcase both traditional and new methods for application to health-related research. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Short tutorials are in the appendix, for readers interested in learning more about the languages. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, SPSS and STATA, allows for easy implementation by readers. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.

Similar products