Statistical Models and Methods for Lifetime Data

  title={Statistical Models and Methods for Lifetime Data},
  author={G. O. Johnston},
  pages={264 - 265}
  • G. Johnston
  • Published 2003
  • Computer Science, Mathematics
  • Technometrics
histories are grouped to give monthly counts of events, the information needed to compute Nelson’s variance estimate for the sample MCF, described in Chapter 4, has been lost. Instead, Nelson describes and illustrates how to compute a simple “naive” variance estimate and conŽ dence intervals that would be correct under the assumption of an underlying nonhomogeneous Poisson process model. Chapter 6 describes methods for analyzing recurrence data when events can be divided into categories… Expand

Topics from this paper

We extend a recently published multivariate Bayesian cure rate model to handle interval censoring and a varying number of measurements per individual. The model assumes an unknown number of latentExpand
Statistical Models and Methods for Lifetime Data
and hypothesis testing for a variety of GEE models, and gives data examples of them. Two key aspects of evaluating a book are content and clarity. The authors state in the Preface, “we have tried toExpand
A Generalized Log-Normal Model for Grouped Survival Data
It is common to have experiments in which it is not possible to observe the exact lifetimes but only the interval where they occur. This sort of data presents a high number of ties and it is calledExpand
Robust Methods for Interval-Censored Life History Data
Interval censoring arises frequently in life history data, as individuals are often only observed at a sequence of assessment times. This leads to a situation where we do not know when an event ofExpand
A copula-based mixed Poisson model for bivariate recurrent events under event-dependent censoring.
A bivariate mixed Poisson model in which a copula function is used to model the association between two gamma distributed random effects is described, which is a bivariate negative binomial process in which each type of event arises from a negative Binomial process. Expand
Mixture Models for Coarsened Multivariate Failure Time Data
The aim of this thesis is to develop statistical methodology for the analysis of life history data under incomplete observation schemes and with latent features which must be accommodated to ensureExpand
In clinical studies subjects are often followed for varying lengths of time for the occurrence of some outcome (event) of interest. Standard approaches for comparing the proportion of events observedExpand
A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments
Mixture models for hazard rate functions are widely used tools for addressing the statistical analysis of survival data subject to a censoring mechanism. The present article introduced a new class ofExpand
A maximum likelihood estimator for left-truncated lifetimes based on probabilistic prior information about time of occurrence
ABSTRACT In forestry, many processes of interest are binary and they can be modeled using lifetime analysis. However, available data are often incomplete, being interval- and right-censored as wellExpand
Marginal Methods for Multivariate Failure Times Under Event-Dependent Censoring
Many chronic diseases put individuals at increased risk of several different types of adverse clinical events. Typically these events are combined to define composite events which are then used asExpand


Some Simple Robust Methods for the Analysis of Recurrent Events
Nelson discussed a method of estimating the cumulative mean function for identically distributed processes of recurrent events. We show that a similar approach can be used with more general models,Expand
Hazard Plotting for Incomplete Failure Data
Incomplete failure data consisting of times to failure on failed units and differing running times or unfailed units are called multiply censored. Data on units operating in the field, for example,Expand
Statistical Methods in Reliability
Some of the advances made during the past 25 years in the statistical treatment of reliability problems are reviewed and some where work is needed are suggested. Expand
Graphical Analysis of System Repair Data
This paper presents a probabilistic approach to estimating the total number of components in the response of the immune system to various types of materials and shows clear trends in the number of immune-related adverse events. Expand
S-PLUS Life Data Analysis
  • 2003
S-PLUS User's Manual, Version 6.1
  • 2002
Minitab User's Guide 2: Data Analysis and Quality Tools, Release 13
  • 2000
SAS/QC User's Guide for Release 8
  • JMP User's Guide
  • 1999
Applied Life Data Analysis, New York: Wiley. The Statistical Analysis of Failure Time Data (2nd ed.), by John D. KALBFLEISCH and Ross L
  • ISBN 0-471-36357-X,
  • 1982
Additional Failure Time Data Topics Glossary of Notation (new)