TITLE

Erratum

PUB. DATE
April 2010
SOURCE
Statistical Methods in Medical Research;Apr2010, Vol. 19 Issue 2, p200
SOURCE TYPE
Academic Journal
DOC. TYPE
Erratum
ABSTRACT
A correction to the article "Survival analysis with high-dimensional covariates" that was published in the 2010 issue is presented.
ACCESSION #
49765397

 

Related Articles

  • 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;...

  • 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.

  • Assessing changes in the impact of cancer on population survival without considering cause of death. Brown, Barry W.; Brauner, Christopher // JNCI: Journal of the National Cancer Institute;01/01/97, Vol. 89 Issue 1, p58 

    Presents a study that assesses changes in the impact of cancer on population survival without considering cause of death in the United States. Increase in age- and incidence-adjusted 5-year survival; Increase in cancer incidence for three of four sex-race groups; Impact of the HIV-related...

  • Charting the process of change: A primer on survival analysis. Luke, Douglas A. // American Journal of Community Psychology;Apr93, Vol. 21 Issue 2, p203 

    Provides a practical, nontechnical introduction to the use of survival analysis for social scientists. Discussion of important issues in using survival analysis; Illustration of common survival analysis tasks; Appendix of current survival analysis computer programs.

  • Surviving sepsis bundle compliance: getting the time of the day it deserves. Borikar, Madhura; Tikotekar, Ashish; Parikh, Amay // Critical Care;2013, Vol. 17 Issue 5, p1 

    A letter to and response from the authors of the article "Differences in Compliance With Surviving Sepsis Campaign Recommendations According to Hospital Entrance Time: Day Versus Night" is presented.

  • Survival Relative to Survival at Current pH.  // CO2 Science;10/6/2015, Vol. 18, p1 

    A table is presented which provides information on the survival of benthic foraminifera (Ammonia aomoriensis) at a particular pH level during the experimental conditions, along with their journal references, after 42 days of exposure to elevated carbon dioxide (CO2).

  • Comparing survival of a sample to that of a standard population. Finkelstein, Dianne M.; Muzikansky, Alona; Schoenfeld, David A // JNCI: Journal of the National Cancer Institute;10/1/2003, Vol. 95 Issue 19, p1434 

    Comments on emerging strategies to compare the cancer survival rates of a research sample to that of a standard population. Estimation of the standardized mortality ratio; Application of an actuarial table to determine the expected remaining lifetime at the age of study entry for each of the...

  • Survival Analysis Part I: Basic concepts and first analyses. Clark, T G; Bradburn, M J; Love, S B; Altman, D G // British Journal of Cancer;7/21/2003, Vol. 89 Issue 2, p232 

    Part I. Explains the basic concepts of cancer survival analysis. Types of 'event' in cancer studies; Modelling of survival and hazard; Kaplan-Meier Survival Estimate; Nonparametric tests comparing survival; Uninformative censoring; Length of follow-up; Completeness of follow-up; Cohort effect...

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