عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شابک
شابک
9781441929334
شابک
9781475734478
شماره کتابشناسی ملی
شماره
dltt
عنوان و نام پديدآور
عنوان اصلي
Bayesian Survival Analysis
نام عام مواد
[Book]
نام نخستين پديدآور
by Joseph G. Ibrahim, Ming-Hui Chen, Debajyoti Sinha.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
New York, NY :
نام ناشر، پخش کننده و غيره
Imprint: Springer,
تاریخ نشرو بخش و غیره
2001.
فروست
عنوان فروست
Springer Series in Statistics,
شاپا ي ISSN فروست
0172-7397
یادداشتهای مربوط به مندرجات
متن يادداشت
1 Introduction -- 2 Parametric Models -- 3 Semiparametric Models -- 4 Frailty Models -- 5 Cure Rate Models -- 6 Model Comparison -- 7 Joint Models for Longitudinal and Survival Data -- 8 Missing Covariate Data -- 9 Design and Monitoring of Randomized Clinical Trials -- 10 Other Topics -- List of Distributions -- References -- Author Index.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. Several topics are addressed, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty models, cure rate models, model selection and comparison, joint models for longitudinal and survival data, models with time varying covariates, missing covariate data, design and monitoring of clinical trials, accelerated failure time models, models for mulitivariate survival data, and special types of hierarchial survival models. Also various censoring schemes are examined including right and interval censored data. Several additional topics are discussed, including noninformative and informative prior specificiations, computing posterior qualities of interest, Bayesian hypothesis testing, variable selection, model selection with nonnested models, model checking techniques using Bayesian diagnostic methods, and Markov chain Monte Carlo (MCMC) algorithms for sampling from the posteiror and predictive distributions. The book presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all essentially from the health sciences, including cancer, AIDS, and the environment. The book is intended as a graduate textbook or a reference book for a one semester course at the advanced masters or Ph.D. level. This book would be most suitable for second or third year graduate students in statistics or biostatistics. It would also serve as a useful reference book for applied or theoretical researchers as well as practitioners.
ویراست دیگر از اثر در قالب دیگر رسانه
شماره استاندارد بين المللي کتاب و موسيقي
9781441929334
قطعه
عنوان
Springer eBooks
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Mathematical statistics.
موضوع مستند نشده
Statistics.
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Ibrahim, Joseph G.
نام شخص - (مسئولیت معنوی برابر )
مستند نام اشخاص تاييد نشده
Chen, Minghui.
مستند نام اشخاص تاييد نشده
Sinha, Debajyoti.
نام تنالگان _ (مسئولیت معنوی برابر)
مستند نام تنالگان تاييد نشده
SpringerLink (Online service)
مبدا اصلی
تاريخ عمليات
20190301074600.0
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب اطلاعات رکورد کتابشناسی
نوع ماده
[Book]
اطلاعات دسترسی رکورد
تكميل شده
Y
