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 StorageR853.S7 K535 2003 Browse related items Request

    Details

    Subject(s)
    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.
    ISBN
    038795399X (alk. paper)
    LCCN
    2002026667
    OCLC
    50042661
    RCP
    C - S
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