Estimating the Survival and Hazard Functions.- The Cox Model.- Residuals.- Functional Form.- Testing Proportional Hazards.- Influence.- Multiple Events per Subject.- Frailty Models.- Expected Survival.
From the reviews: TECHNOMETRICS "I would be curious to know how
many people bought the book by Fleming and Harrington (1991) and by
Anderson, Borgan, Gill, and Keiding (1993) when they first appeared
hoping for an introduction to the subject. Instead we all should
have saved our money and waited fir this volume by Therneau and
Grambsch…This book can serve as a useful reference for statistical
practitioners who encounter survival data and for researchers who
want to update their knowledge in modern survival analysis…The
writing style is light and almost humorous in many places. We get
the feeling that the authors had a lot of fun writing this book. If
only it was available a decade ago." STATISTICAL METHODS IN MEDICAL
RESEARCH
"In short, this is an exciting book, which introduces and
illustrates some recent developments in surviavl analysis. The
authors maintain an informal and good-humoures style, making the
book very easy to read, and insist on a hands-on approach which
encourages the reader to re-work examples. I would recommend it to
any statistician analysing survival data." SHORT BOOK REVIEWS "The
authors ... have laid out for us the wealth of their practical
experience at all levels; the numerical aspects; computer
algorithms; evaluation of different methods and connections between
them; possible pitfalls; and interpretation of the results.
Remarkable insights abound.
This book completes that of P. Hougaard by giving much detail on
actual fitting of the models discussed by him.
It will serve two audiences: the busy practitioner who has not had
time to catch up with martingale theory and counting processes and
the graduate student who has just completed such a course and who
needs to be introduced to the practicalities and judgements needed
in data analysis. It is likely to become a well-thumbed copy on the
statistician's desk and statistical practice will be the better for
it." STATISTICS IN MEDICINE "I use S-PLUS in my own applied work
and when testing my methodological research. Therefore, I came to
this book with high expectations. I was not disappointed. The book
is an invaluable resource for all researchers who use SAS and/or
S-PLUS in their applied work, and who want to improve their skills
in analyzing survival and event history data." JOURNAL OF THE
AMERICAN STATISTICAL ASSOCIATION "…I highly recommend [this book]
to statisticians analyzing survival data with S-PLUS and SAS."
"Analogous development for Cox’s regression model – stimulated
partially by the counting process theory – has taken place over the
last quarter of a century. This book provides a well-organized and
extensive collection of these methods. … The book is reasonably
self-contained. It brings the fruits of the counting process-based
methods to the common analyst … . A number of biostatistical data
sets have been used for the purpose of illustrative analysis. … I
think thebook achieves more than its stated objective." (Debasis
Sengupta, Sankhya, Vol. 65 (4), 2003) "This book models survival
data, mainly in terms of the Cox regression model and its
extensions … . The text is fluently written in the style of a
medium-level oral presentation which makes the book well readable
and its contents well understandable … . Difficult theoretical
concepts are explained in an easy, yet instructive way … . I
consider this book as a most valuable source for beginners … and I
warmly recommend this book as introductory reading, guidance, and
reference for practical work." (Jochen Mau, Metrika, February,
2003) "This book presents a state-of-the-art overview on modeling
survival data. … examples underline the enormous flexibility and
potential of the discussed models. … Appendices giving short
tutorials into the statistical packages SAS and A-Plus as well as
selected data sets will be very useful for most readers. … The well
chosen examples, their analysis and interpretation underline the
experience of the authors and makes the book a must-have for every
biostatistician." (Heinz J. Skala, Statistical Papers, Vol. 44 (2),
2003) "‘This is a book for statistical practitioners who analyse
survival and event history data … .’ it is also for those who do
have the theoretical knowledge already but want to know how to
implement it in S-Plus or SAS … . analysis of any event data is
outlined very clearly and illustrated by a lot of examples.
Therefore, this book is recommended to everyone who deals with any
kind of event data … . valuable guide on how to do survival/event
analysis … ." (Matthias Wahl, ISCB Newsletter, December, 2003)
"This book contains a comprehensive description of what already can
be found in the well-reputed S library survival 5 … . It gives an
introduction to survival analysis, with emphasis on the Cox model,
and with several illustrations from the authors’ practice as
biostatisticians. … the book ends with… several appendices
containing SAS macros, S functions and data sets. The book is a
very useful companion for the practitioner of survival analysis and
particularly for one who uses the Cox model and survival 5." (Göran
Broström, Zentralblatt MATH, Vol. 958, 2001) "This book presents
and illustrates various failure time data analysis techniques … .
the context of many of the examples seems quite interesting and
each is adequately explained by the authors. … The book is clearly
written … . In summary, this work is a valuable addition to the
list of books on failure time data analysis. … can be recommended
to data analysts wishing to try out some of the more recent failure
time analysis developments." (Ross Prentice, SIAM Review, Vol. 43
(3), 2001) "The monograph provides an excellent overview on a
number of introductory and advanced topics concerning the Cox
proportional hazards model. … Model features, ideas and
alternatives are given … . is clearly and concisely written and
theory is illustrated with lot of examples. It aims at the
practitioner as it covers all practical problems. … I think that
the authors have succeeded in writing an excellent monograph on
practical survival analysis. It is recommended for everyone who is
working in this research field." (M. H. J. de Bruijne,
Kwantitatieve Methoden, Vol. 22 (66), 2001)
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