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Survival analysis : techniques for censored and truncated data / John P. Klein, Melvin L. Moeschberger.
Author
Klein, John P., 1950-2013
[Browse]
Format
Book
Language
English
Εdition
2nd ed.
Published/Created
New York : Springer, [2003], ©2003.
Description
xv, 536 pages : illustrations ; 25 cm.
Availability
Copies in the Library
Location
Call Number
Status
Location Service
Notes
ReCAP - Remote Storage
R853.S7 K535 2003
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Details
Subject(s)
Survival analysis (Biometry)
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Related name
Moeschberger, Melvin L.
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Series
Statistics for biology and health.
[More in this series]
Bibliographic references
Includes bibliographical references (p. [515]-525) and indexes.
Contents
Ch. 1. Examples of Survival Data
Remission Duration from a Clinical Trial for Acute Leukemia
Bone Marrow Transplantation for Leukemia
Times to Infection of Kidney Dialysis Patients
Times to Death for a Breast-Cancer Trial
Times to Infection for Burn Patients
Death Times of Kidney Transplant Patients
Death Times of Male Laryngeal Cancer Patients
Autologous and Allogeneic Bone Marrow Transplants
Bone Marrow Transplants for Hodgkin's and Non-Hodgkin's Lymphoma
Times to Death for Patients with Cancer of the Tongue
Times to Reinfection for Patients with Sexually Transmitted Diseases
Time to Hospitalized Pneumonia in Young Children
Times to Weaning of Breast-Fed Newborns
Death Times of Psychiatric Patients
Death Times of Elderly Residents of a Retirement Community
Time of First Use of Marijuana
Time to Cosmetic Deterioration of Breast Cancer Patients
Time to AIDS
Ch. 2. Basic Quantities and Models --
The Survival Function
The Hazard Function
The Mean Residual Life Function and Median Life
Common Parametric Models for Survival Data
Regression Models for Survival Data
Models for Competing Risks
Ch. 3. Censoring and Truncation
Right Censoring
Left or Interval Censoring
Truncation
Likelihood Construction for Censored and Truncated Data
Counting Processes
Ch. 4. Nonparametric Estimation of Basic Quantities for Right-Censored and Left-Truncated Data
Estimators of the Survival and Cumulative Hazard Functions for Right-Censored Data
Pointwise Confidence Intervals for the Survival Function
Confidence Bands for the Survival Function
Point and Interval Estimates of the Mean and Median Survival Time
Estimators of the Survival Function for Left-Truncated and Right-Censored Data
Summary Curves for Competing Risks
Ch. 5. Estimation of Basic Quantities for Other Sampling Schemes --
Estimation of the Survival Function for Left, Double, and Interval Censoring
Estimation of the Survival Function for Right-Truncated Data
Estimation of Survival in the Cohort Life Table
Ch. 6. Topics in Univariate Estimation
Estimating the Hazard Function
Estimation of Excess Mortality
Bayesian Nonparametric Methods
Ch. 7. Hypothesis Testing
One-Sample Tests
Tests for Two or More Samples
Tests for Trend
Stratified Tests
Renyi Type Tests
Other Two-Sample Tests
Test Based on Differences in Outcome at a Fixed Point in Time
Ch. 8. Semiparametric Proportional Hazards Regression with Fixed Covariates
Coding Covariates
Partial Likelihoods for Distinct-Event Time Data
Partial Likelihoods When Ties Are Present
Local Tests
Discretizing a Continuous Covariate
Model Building Using the Proportional Hazards Model
Estimation of the Survival Function --
Ch. 9. Refinements of the Semiparametric Proportional Hazards Model
Time-Dependent Covariates
Stratified Proportional Hazards Models
Left Truncation
Synthesis of Time-varying Effects (Multistate Modeling)
Ch. 10. Additive Hazards Regression Models
Aalen's Nonparametric, Additive Hazard Model
Lin and Ying's Additive Hazards Model
Ch. 11. Regression Diagnostics
Cox-Snell Residuals for Assessing the Fit of a Cox Model
Determining the Functional Form of a Covariate: Martingale Residuals
Graphical Checks of the Proportional Hazards Assumption
Deviance Residuals
Checking the Influence of Individual Observations
Ch. 12. Inference for Parametric Regression Models
Weibull Distribution
Log Logistic Distribution
Other Parametric Models
Diagnostic Methods for Parametric Models
Ch. 13. Multivariate Survival Analysis
Score Test for Association
Estimation for the Gamma Frailty Model --
Marginal Model for Multivariate Survival
App. A. Numerical Techniques for Maximization
App. B. Large-Sample Tests Based on Likelihood Theory
App. D. Data on 137 Bone Marrow Transplant Patients.
Show 86 more Contents items
ISBN
038795399X (alk. paper)
LCCN
2002026667
OCLC
50042661
RCP
C - S
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