Survival analysis : techniques for censored and truncated data / John P. Klein, Melvin L. Moeschberger.

Klein, John P., 1950-2013 [Browse]
2nd ed.
New York : Springer, c2003.
xv, 536 p. : ill. ; 25 cm.


Survival analysis (Biometry) [Browse]
Related name
Statistics for biology and health. [More in this series]
Bibliographic references
Includes bibliographical references (p. [515]-525) and indexes.
  • 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.
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