A01=D.R. Cox
A01=David Oakes
accelerated
Accelerated Life Model
advanced survival modeling methods
Asymptotic Relative Efficiency
Author_D.R. Cox
Author_David Oakes
Bartlett Correction Factor
Baseline Survivor Function
Bivariate Survivor Function
Category=JHBC
Category=JHBD
censoring techniques
Conditional Expectations
Cumulative Hazard
D. Oakes
D.R. Cox
Discrete Logistic Model
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Explanatory Variables
Exponential Distribution
failure
Failure Time
function
functions
Greenwood's Formula
Greenwood’s Formula
hazard
Hazard Function
hazard function modeling
industrial reliability testing
life
life table analysis
likelihood
log
Log Rank Test
Maximum Likelihood Estimator
nonparametric estimation
Observed Information Matrices
parametric failure time
Proportional Hazards Model
Risk Set
Survival Distribution
survivor
Survivor Function
time
Time Dependent Covariates
Time Dependent Explanatory Variables
Unit Exponential Distribution
Weibull Distribution
White Blood Count
Product details
- ISBN 9780412244902
- Weight: 400g
- Dimensions: 152 x 229mm
- Publication Date: 01 Jun 1984
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis is not confined to medical statistics, where the benefit of the analysis of data on such factors as life expectancy and duration of periods of freedom from symptoms of a disease as related to a treatment applied individual histories and so on, is obvious. The techniques also find important applications in industrial life testing and a range of subjects from physics to econometrics. In the eleven chapters of the book the methods and applications of are discussed and illustrated by examples.
