TITLE

Recent developments in survival analysis

AUTHOR(S)
Andersen, Per Kragh
PUB. DATE
February 2010
SOURCE
Statistical Methods in Medical Research;Feb2010, Vol. 19 Issue 1, p3
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The article discusses various reports published within the issue, including one on regression models for survival data, one on the role of Cox model in regression analysis, and one on the application of pseudo-observations in survival analysis.
ACCESSION #
48046514

 

Related Articles

  • Pseudo-observations in survival analysis. Andersen, Per Kragh; Perme, Maja Pohar // Statistical Methods in Medical Research;Feb2010, Vol. 19 Issue 1, p71 

    We review recent work on the application of pseudo-observations in survival and event history analysis. This includes regression models for parameters like the survival function in a single point, the restricted mean survival time and transition or state occupation probabilities in multi-state...

  • Flexible survival regression modelling. Cortese, Giuliana; Scheike, Thomas H.; Martinussen, Torben // Statistical Methods in Medical Research;Feb2010, Vol. 19 Issue 1, p5 

    Regression analysis of survival data, and more generally event history data, is typically based on Cox's regression model. We here review some recent methodology, focusing on the limitations of Cox's regression model. The key limitation is that the model is not well suited to represent...

  • Interval censoring. Zhigang Zhang; Jianguo Sun // Statistical Methods in Medical Research;Feb2010, Vol. 19 Issue 1, p53 

    Interval-censored failure time data occur in many medical investigations as well as other studies such as demographical and sociological studies. They include the usual right-censored failure time data as a special case but provide much more complex structure and less relevant information than...

  • Survival analysis with high-dimensional covariates. Witten, Daniela M.; Tibshirani, Robert // Statistical Methods in Medical Research;Feb2010, Vol. 19 Issue 1, p29 

    In recent years, breakthroughs in biomedical technology have led to a wealth of data in which the number of features (for instance, genes on which expression measurements are available) exceeds the number of observations (e.g. patients). Sometimes survival outcomes are also available for those...

  • Augmenting the logrank test in the design of clinical trials in which non-proportional hazards of the treatment effect may be anticipated. Royston, Patrick; Parmar, Mahesh K. B. // BMC Medical Research Methodology;2/11/2016, Vol. 16, p1 

    Background: Most randomized controlled trials with a time-to-event outcome are designed assuming proportional hazards (PH) of the treatment effect. The sample size calculation is based on a logrank test. However, non-proportional hazards are increasingly common. At analysis, the...

  • Multi-state models. Andersen, PK // Statistical Methods in Medical Research;Apr2002, Vol. 11 Issue 2, p89 

    Editorial. Comments on the development of the field of survival analysis as an independent statistical discipline. Introduction of the framework for counting processes, martingales and stochastic integrals; Emphasis of the multistate models on medical and epidemiological applications;...

  • Erratum.  // Statistical Methods in Medical Research;Apr2010, Vol. 19 Issue 2, p200 

    A correction to the article "Survival analysis with high-dimensional covariates" that was published in the 2010 issue is presented.

  • Survival analysis, longitudinal analysis and causal inference. Aalen, Odd // Lifetime Data Analysis;Mar2010, Vol. 16 Issue 1, p1 

    The author discusses various reports published within the issue including Granger causality by Michael Eichler and Vanessa Didelez, stochastic processes and extending the notion of local independence to a more general concept of influence for stochastic processes by Anne Gégout-Petit and...

  • Erratum: Do Restricted Driver's Licenses Lower Crash Risk Among Older Drivers? A Survival Analysis of Insurance Data From British Columbia.  // Gerontologist;Dec2009, Vol. 49 Issue 6, p865 

    A correction to the article "Do Restricted Drivers Licenses Lower Crash Risk Among Older Drivers? A Survival Analysis of Insurance Data From British Columbia," by Glenyth Caragata Nasvadi and Andrew Wister, is presented.

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics