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Jewell N.P., Kimber A.C., Lee M.-L.T., Whitmore G.A. (eds.) Lifetime Data: Models in Reliability and Survival Analysis

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Jewell N.P., Kimber A.C., Lee M.-L.T., Whitmore G.A. (eds.) Lifetime Data: Models in Reliability and Survival Analysis
New York: Springer, 1996. — 392 p.
Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages.
This volume contains a selection of papers based on the 1994International Research Conference on Lifetime Data Models inReliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the new journal Lifetime Data Analysis (Kluwer Academic Publishers).
On the Entropies and the Mutual Information of Some Bivariate Continuous Distributions Used in Reliability
Initial Conditions Problem in Event History Analysis: An Indirect Inference Procedure
Analysis of Survival Data under Competing Risks with Missing Cause of Death Information: Application and Implications for Study Design
Conditional Proportional Hazards Models
A Comparison of Conditional and Unconditional Inference Relating to LogGamma Distribution
Universal Formulas for Treatment Effects from Noncompliance Data
Foundational Issues Concerning the Analysis of Censored Data
Burnin at the Component and System Level
Identification of Dependent Competing Risks Models
Reliability Modelling for Optical Amplified Communication Systems
A Parametric Approach to Measurement Errors in Receiver Operating Characteristic Studies
A Modification of GoelOkumoto Model
Models for Degradation Processes and Event Times Based on Gaussian Processes
A NonParametric TwoSample Survival Test Based on a Single Occupancy FermiDirac Model for the Discrete Range Distribution
Probability Approximations and Inequalities for Sequential Tests
Cure Mixture Models in Breast Cancer Survival Studies
A General Approach to Derive ChiSquare Type of GoodnessofFit Tests for Lifetime Data
Prediction in Survival Analysis: Model or Medic?
Dynamic Reliability Models
Generalizations of Current Status Data with Applications
Trend Analysis of Multiple Counting Processes
Historical Controls and Modern Survival Analysis
A Random Effects Model for Multivariate Life Data
Statistical Challenges in Comparing Chemotherapy and Bone Marrow Transplantation as a Treatment for Leukemia
Maximum Likelihood Estimation and the Multivariate Bernoulli Distribution : An Application to Reliability
Intermediate Clinical Events, Surrogate Markers and Survival
A Semiparametric Bootstrap for Proportional Hazards Models
Application of Cox Regression with a Change Point in Clinical Studies
Burnin with Age Replacement
Fitting Cox’s Proportional Hazards Model Using Grouped Survival Data
Statistical Methods for Dependent Competing Risks
Orthogonal Functions of Inverse Gaussian Distributions
Statistical Models for Quality of Life Measures
Nonparametric Estimation of Regression Parameters from Censored Data with Two Discrete Covariates
Locally Efficient Median Regression with Random Censoring and Surrogate Markers
Survival Models for Heterogeneity Using the NonCentral ChiSquared Distribution with Zero Degrees of Freedom
Efficiently Weighted Estimating Equations with Application to Proportional Excess Hazards
Sequential MultiHypothesis Testing in Software Reliability
Assessing Gamma Frailty Models for Clustered Failure Time Data
The Shapes of a Probability Density Function and Its Hazard Function
Therapeutic Equivalence Using a Rich Family of Prior Distributions
Dependent Competing Risks with TimeDependent Covariates
Life Estimation from Pooled Discrete Renewal Counts
Efficient and Ad Hoc Estimation in the Bivariate Censoring Model
Efficient Estimation in a Nonproportional Hazards Model
Modeling Frailty in Manufacturing Processes
Estimation of Wiener Diffusion Parameters Using Process Measurements Subject to Error
Adaptive Replacement Policies for a System of Parallel Machines
Discrete First Passage Time Distribution for Describing Inequality among Individuals
A Graphical Classification of Survival Distributions
Survival Analysis in SPlus
A Note on Strong Uniform Consistency of Kernel Estimators of Hazard Functions under Random Censorship
Identifiability and Estimation of Marginal Survival Functions for Dependent Competing Risks Assuming the Copula is Known
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