عنوان

Analysis of survival data with dependent censoring :

شابک

9789811071638

شابک

9789811071645

شابک

9789811071652

شابک

9811071632

شابک

9811071640

شابک

9811071659

شابک اشتباه

9789811071638

عنوان اصلي

Analysis of survival data with dependent censoring :

نام عام مواد

[Book]

ساير اطلاعات عنواني

copula-based approaches /

نام نخستين پديدآور

Takeshi Emura, Yi-Hau Chen.

محل نشرو پخش و غیره

Singapore :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource (xiii, 84 pages) :

ساير جزييات

illustrations

عنوان فروست

SpringerBriefs in statistics. JSS research series in statistics,

شاپا ي ISSN فروست

2191-544X

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Intro; Preface; About this Book; Use as a Textbook; References; Acknowledgements; Contents; Abbreviations; Notations; 1 Setting the Scene; Abstract; 1.1 Survival Analysis and Censoring; 1.2 Informative Dropout; 1.3 Benefits of Investigating Dependent Censoring; 1.3.1 Examining the Influence of Dependent Censoring; 1.3.2 Improving Prediction by Using Dependent Censoring; 1.4 Copulas and Survival Analysis: A Brief History; References; 2 Introduction to Survival Analysis; Abstract; 2.1 Survival Time; 2.2 Kaplan-Meier Estimator and Survival Function; 2.3 Hazard Function.

متن يادداشت

2.4 Log-Rank Test for Two-Sample Comparison2.5 Cox Regression; 2.6 R Survival Package; 2.7 Likelihood-Based Inference; 2.8 Technical Notes; 2.9 Exercises; References; 3 Copula Models for Dependent Censoring; Abstract; 3.1 Introduction; 3.2 Bivariate Copula; 3.3 Dependence Measures; 3.4 Residual Dependence; 3.5 Biased Estimation of Cox Regression Due to Dependent Censoring; 3.6 Exercises; References; 4 Analysis of Survival Data Under an Assumed Copula; Abstract; 4.1 Introduction; 4.2 The Copula-Graphic (CG) Estimator; 4.3 Model and Likelihood; 4.4 Parametric Models; 4.4.1 The Burr Model.

متن يادداشت

4.4.2 The Weibull Model4.4.3 The Pareto Model; 4.4.4 The Burr III Model; 4.4.5 The Piecewise Exponential Model; 4.5 Semi-parametric Models; 4.5.1 The Transformation Model; 4.5.2 The Spline Model; References; 5 Gene Selection and Survival Prediction Under Dependent Censoring; Abstract; 5.1 Introduction; 5.2 Univariate Selection; 5.3 Copula-Based Univariate Cox Regression; 5.4 Copula-Based Univariate Selection; 5.5 Choosing the Copula Parameter by the C-Index; 5.6 Lung Cancer Data Analysis; 5.6.1 Gene Selection and Prediction; 5.6.2 Assessing Prediction Performance; 5.7 Discussions; References.

متن يادداشت

6 Future DevelopmentsAbstract; 6.1 Log-Rank Test Under Dependent Censoring; 6.2 Dependent Left-Truncation; References; Appendix A: Spline Basis Functions; Appendix B: R Codes for the Lung Cancer Data Analysis; Index.

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring. The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients' survival data. Needless to say, the statistical methods presented here can also be applied to many other branches of science, especially in reliability, where survival analysis plays an important role. The book can be used as a textbook for graduate coursework or a short course aimed at (bio- ) statisticians. To deepen readers' understanding of copula-based approaches, the book provides an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9789811071645

شماره استاندارد بين المللي کتاب و موسيقي

9789811071638

موضوع مستند نشده

Censored observations (Statistics)

موضوع مستند نشده

Copulas (Mathematical statistics)

موضوع مستند نشده

Censored observations (Statistics)

موضوع مستند نشده

Copulas (Mathematical statistics)

موضوع مستند نشده

MATHEMATICS-- Applied.

موضوع مستند نشده

MATHEMATICS-- Probability & Statistics-- General.

موضوع مستند نشده

MAT-- 003000

موضوع مستند نشده

MAT-- 029000

موضوع مستند نشده

MBNS

موضوع مستند نشده

PBT

موضوع مستند نشده

PBT

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Emura, Takeshi

مستند نام اشخاص تاييد نشده

Chen, Yi-Hau

تاريخ عمليات

20200823221822.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y