Multiple time scales in survival analysis

DOI10.1007/BF00985253zbMath0821.62084WikidataQ46465728 ScholiaQ46465728MaRDI QIDQ1895378

David Oakes

Publication date: 16 August 1995

Published in: Lifetime Data Analysis (Search for Journal in Brave)

zbMATH Keywords

survival analysisequivalencytime-dependent covariatesagingaccelerated life modelbivariate hazard functionchoice of time scalecollapsibility condition

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (15)

Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary ⋮ Methods for the estimation of failure distributions and rates from automobile warranty data ⋮ Modeling the agreement of discrete bivariate survival times using kappa coefficient ⋮ Performance and Prediction for Varying Survival Time Scales ⋮ Comparative Study of Time Scales in Optimal Time Scale Analysis of Field Reliability Data ⋮ Advances in Bayesian decision making in reliability ⋮ A case-control study relating railroad worker mortality to diesel exhaust exposure using a threshold regression model ⋮ Measuring Agreement of Multivariate Discrete Survival Times Using a Modified Weighted Kappa Coefficient ⋮ Proportional hazards and threshold regression: their theoretical and practical connections ⋮ Models and estimation for systems with recurrent events and usage processes ⋮ An introduction to survival models: in honor of Ross Prentice ⋮ Connecting Threshold Regression and Accelerated Failure Time Models ⋮ On the collapsibility of lifetime regression models ⋮ On the targets of inference with multivariate failure time data ⋮ A generalized additive regression model for survival times.

Cites Work

• Estimation of the time-dependent accelerated failure time model in the presence of confounding factors
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