1 item has been added to your cart.
Event History Modeling: A Guide for Social Scientists |
||||||||||||||||||||||||||||||||||||
 Click to enlarge See the back cover |
As an Amazon Associate, StataCorp earns a small referral credit from
qualifying purchases made from affiliate links on our site.
VitalSource eBook details
VitalSource eBooks are read using the Bookshelf How to access your eBook1) Visit Bookshelf online to sign in or create an account.
2) Once logged in, click redeem in the upper right corner. Enter your eBook code. Your eBook code will be in your order confirmation email under the eBook's title.
3) The eBook will be added to your library. You may then download Bookshelf on other devices and sync your library to view the eBook.
Bookshelf is available on the following:
Bookshelf allows you to have 2 computers and 2 mobile devices activated at any given time.
I was amazed at the VitalSource way of presenting the books....
Everything looks perfectly typeset, but yet you can "flip"
through the book in the same way you would "flip" through a very
long web page in your web browser. And best of all, whenever I
have my tablet with me, my books are just a swipe away.
— Michael Mitchell
Senior statistician at the USC Children's Data Network, author of four Stata Press books, and former UCLA statistical consultant who envisioned and designed the UCLA Statistical Consulting Resources website. Return policy for eBooksStata Press eBooks are nonreturnable and nonrefundable. ×eBook not available for this title |
|
||||||||||||||||||||||||||||||||||
Comment from the Stata technical groupThis book provides an excellent introduction to the field of survival (duration) analysis for the social scientist. The mathematics are kept to a bare minimum, with more emphasis on the substantive issues behind the methods being demonstrated. Indeed, the authors are adept at explaining even the most complex mathematical and technical concepts through well-worded, descriptive text. Examples from the social sciences (e.g., a duration analysis of U.N. peacekeeping missions) are distributed throughout the text. This text also provides an excellent survey of the current state of the art in survival analysis, regardless of the field of application. Beginning with the basics—hazards and survival functions, parametric models, etc.—the discussion then extends toward advanced topics, such as models for correlated data (frailty models) and models for multiple events, e.g., competing risks. We highly recommend this book to researchers who are exploring advanced topics in survival analysis for the first time, as this text does a good job of mapping out the available methods and distinguishing between alternative new methods for analyzing the same types of data. The bibliography is also quite thorough. |
||||||||||||||||||||||||||||||||||||
Table of contentsView table of contents >> |
||||||||||||||||||||||||||||||||||||
)