Survival Analysis

Efficient Nonparametric Curve Estimation For Censored Data with R Examples
Erscheinungsjahr 2026
ISBN: 978-3-031-82816-4
Verlag: Springer

Buch, Englisch, 233 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 436 g

Reihe: Synthesis Lectures on Mathematics & Statistics

This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status censored and right-censored data. The book contains the theory and methodology of efficient estimation, adaptation, dimension reduction, and confidence bands as well as the universal E-estimator for small samples.  Exercises and a large number of simulated and real-life examples that can be repeated and modified using the complementary R package are also included. This coverage, together with the intuitive style of presentation, is ideal for people entering this field. The context is suitable for self-study or a one-semester course for graduate students with majors ranging from biostatistics and data analytics to econometrics and actuarial science.

Zielgruppe

Graduate

Autoren/Hrsg.

Efromovich, Sam

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

Chapter 1. Introduction.- Chapter 2. Current Status Censoring.- Chapter 3. Right-Censoring.- Chapter 4. References.

Über Autor(innen)

Sam Efromovich, Ph.D., is an Endowed Professor and the Head of Actuarial Program in the Department of Mathematical Sciences at The University of Texas at Dallas. He is an Elected Fellow of the American Statistical Association and of the Institute of Mathematical  Statistics and is well known for his work on the theory and applications of nonparametric curve estimation.