Lifetime Data

Models in Reliability and Survival Analysis

By: Nicholas P. Jewell (Editor), Alan C. Kimber (Editor), Mei-Ling Ting Lee (Editor)

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Hardcover | 30 November 1995

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428 Pages

Dimensions(cm)
25.4 x 17.15 x 3.18

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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 1994 International Research Conference on Lifetime Data Models in Reliability 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).

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Preface
Referees
On the Entropies and Mutual Information of Some Bivariate Continuous Distributions Used in Reliability	p. 1
Initial Conditions Problem in Event History Analysis: An Indirect Inference Procedure	p. 7
Analysis of Survival Data Under Competing Risks with Missing Cause of Death Information: Application and Implications for Study Design	p. 13
Conditional Proportional Hazards Models	p. 21
A Comparison of Conditional and Unconditional Inference Relating to Log-Gamma Distribution	p. 29
Universal Formulas for Treatment Effects from Noncompliance Data	p. 39
Foundational Issues Concerning the Analysis of Censored Data	p. 45
Burn-in at the Component and System Level	p. 53
Identification of Dependent Competing Risks Models	p. 59
Reliability Modelling for Optical Amplified Communication Systems	p. 65
A Parametric Approach to Measurement Errors in Receiver Operating Characteristic Studies	p. 71
A Modification of Goel-Okumoto Model	p. 77
Models for Degradation Processes and Event Times Based on Gaussian Processes	p. 85
A Non-Parametric Two-Sample Survival Test Based on a Single Occupancy Fermi-Dirac Model for the Discrete Range Distribution	p. 93
Probably Approximations and Inequalities for Sequential Tests	p. 99
Cure Mixture Models in Breast Cancer Survival Studies	p. 107
A General Approach to Derive Chi-Square Type of Goodness-of-Fit Tests for Life-time Data	p. 113
Prediction in Survival Analysis: Model or Medic	p. 125
Dynamic Reliability Models	p. 131
Generalizations of Current Status Data with Applications	p. 141
Trend Analysis of Multiple Counting Processes	p. 149
Historical Controls and Model Survival Analysis	p. 157
A Random Effects Model for Multivariate Life Data	p. 167
Statistical Challenges in Comparing Chemotherapy and Bone Marrow Transplantation as a Treatment for Leukimia	p. 175
Maximum Likelihood Estimation and the Multivariate Bernoulli Distribution: An Application to Reliability	p. 187
Intermediate Clinical Events, Surrogate Markers and Survival	p. 195
A Semiparametric Bootstrap for Proportional Hazards Models	p. 207
Application of Cox Regression with a Change Point in Clinical Studies	p. 213
Burn-in with Age Replacement	p. 219
Fitting Cox's Proportional Hazards Model Using Grouped Survival Data	p. 227
Statistical Methods for Dependent Competing Risks	p. 233
Orthogonal Functions of Inverse Gaussian Distributions	p. 243
Statistical Models for Quality of Life Measures	p. 251
Nonparametric Estimation of Regression Parameters from Censored Data with Two Discrete Covariates	p. 257
Locally Efficient Median Regression with Random Censoring and Surrogate Markers	p. 263
Survival Models for Heterogeneity Using the Non-Central Chi-Squared Distribution with Zero Degrees of Freedom	p. 275
Efficiently Weighted Estimating Equations with Application to Proportional Excess Hazards	p. 281
Sequential Multi-Hypothesis Testing in Software Reliability	p. 291
Assessing Gamma Frailty Models for Clustered Failure Time Data	p. 299
The Shapes of a Probability Density Function and its Hazard Function	p. 307
Therapeutic Equivalence Using a Rich Family of Prior Distributions	p. 315
Dependent Competing Risks with Time-Dependent Covariates	p. 323
Life Estimation from Pooled Discrete Renewal Counts	p. 331
Efficient and Ad Hoc Estimation in the Bivariate Censonring Model	p. 339
Efficient Estimation in a Nonproportional Hazards Model	p. 347
Modeling Frailty in Manufacturing Processes	p. 353
Estimation of Wiener Diffusion Parameters Using Process Measurements Subject to Error	p. 363
Adaptive Replacement Policies for a System of Parallel Machines	p. 371
Discrete First Passage Time Distribution for Describing Inequality among Individuals	p. 377
A Graphical Classification of Survival Distributions	p. 385
Survival Analysis in S-Plus	p. 393
A Note on Strong Uniform Consistency of Kernel Estimators of Hazard Functions Under Random Censorship	p. 395
Identifiability and Estimation of Marginal Survival Functions for Dependent Competing Risks Assuming the Copula is Known	p. 401
Author Index	p. 409
Table of Contents provided by Blackwell. All Rights Reserved.

Lifetime Data

Models in Reliability and Survival Analysis

At a Glance

Hardcover

Shipping

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