Statistical Methods in Organ Failure and Transplantation

Statistical Methods in Organ Failure and Transplantation Stat Biosci (2017) 9:317–319 https://doi.org/10.1007/s12561-017-9207-y EDITORIAL Statistical Methods in Organ Failure and Transplantation Douglas E. Schaubel Published online: 27 November 2017 © International Chinese Statistical Association 2017 The special issue contains ten stimulating articles which feature the development of novel statistical methodology applied to important issues in organ failure and trans- plantation. Several of the articles feature survival analysis, which has a long history in the organ failure setting, dating back to (at least) the seminal analysis of the Stanford heart transplant data by Crowley and Hu [1]. Fields such as end-stage renal disease (ESRD) and end-stage liver disease (ESLD) are among the many areas of medicine which have been particularly receptive to (and, as a result, heavily influenced by) innovative statistical techniques. This issue spans several domains with respect to statistical methodology and areas of application, including instrumental variables, competing risks, recurrent events, gap times, landmark analysis, dynamic prediction of outcomes, joint modeling of longitudinal and time-to-event data, and variable selection. Methodologists and prac- titioners whose area of application is outside the organ failure setting will find plenty of stimulating material in this issue. Lehmann et al. [2] propose a weighting approach for instrumental variable (IV) analysis, designed http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Statistics in Biosciences Springer Journals

Statistical Methods in Organ Failure and Transplantation

Loading next page...
 
/lp/springer_journal/statistical-methods-in-organ-failure-and-transplantation-V3kNWHVKL2
Publisher
Springer US
Copyright
Copyright © 2017 by International Chinese Statistical Association
Subject
Statistics; Statistics for Life Sciences, Medicine, Health Sciences; Biostatistics; Theoretical Ecology/Statistics
ISSN
1867-1764
eISSN
1867-1772
D.O.I.
10.1007/s12561-017-9207-y
Publisher site
See Article on Publisher Site

Abstract

Stat Biosci (2017) 9:317–319 https://doi.org/10.1007/s12561-017-9207-y EDITORIAL Statistical Methods in Organ Failure and Transplantation Douglas E. Schaubel Published online: 27 November 2017 © International Chinese Statistical Association 2017 The special issue contains ten stimulating articles which feature the development of novel statistical methodology applied to important issues in organ failure and trans- plantation. Several of the articles feature survival analysis, which has a long history in the organ failure setting, dating back to (at least) the seminal analysis of the Stanford heart transplant data by Crowley and Hu [1]. Fields such as end-stage renal disease (ESRD) and end-stage liver disease (ESLD) are among the many areas of medicine which have been particularly receptive to (and, as a result, heavily influenced by) innovative statistical techniques. This issue spans several domains with respect to statistical methodology and areas of application, including instrumental variables, competing risks, recurrent events, gap times, landmark analysis, dynamic prediction of outcomes, joint modeling of longitudinal and time-to-event data, and variable selection. Methodologists and prac- titioners whose area of application is outside the organ failure setting will find plenty of stimulating material in this issue. Lehmann et al. [2] propose a weighting approach for instrumental variable (IV) analysis, designed

Journal

Statistics in BiosciencesSpringer Journals

Published: Nov 27, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from
Google Scholar,
PubMed
Create lists to
organize your research
Export lists, citations
Read DeepDyve articles
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off