A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Statistical Methods in Medical Research 26.3 (2017): S. 1443 - 1460.

Event: Veröffentlichung

(where): Erlangen

(who): Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

(when): 2017

Creator: Mayr, Andreas
Schmid, Matthias
Pfahlberg, Annette
Uter, Wolfgang
Gefeller, Olaf

URN: urn:nbn:de:bvb:29-opus4-112203

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:55 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Mayr, Andreas
Schmid, Matthias
Pfahlberg, Annette
Uter, Wolfgang
Gefeller, Olaf
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Time of origin

2017

Other Objects (12)

Boosting the Concordance Index for Survival Data – A Unified Framework To Derive and Evaluate Biomarker Combinations

Significance Tests for Boosted Location and Scale Models with Linear Base-Learners

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Addendum to: Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Gemälde

Bildnis einer Hindelangerin

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Boosting the Concordance Index for Survival Data – A Unified Framework To Derive and Evaluate Biomarker Combinations

Significance Tests for Boosted Location and Scale Models with Linear Base-Learners

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Addendum to: Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Gemälde

Bildnis einer Hindelangerin

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Boosting the Concordance Index for Survival Data – A Unified Framework To Derive and Evaluate Biomarker Combinations

Significance Tests for Boosted Location and Scale Models with Linear Base-Learners

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Addendum to: Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Gemälde

Bildnis einer Hindelangerin

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Akten

Mayr, Andreas

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

Boosting the Concordance Index for Survival Data – A Unified Framework To Derive and Evaluate Biomarker Combinations

Significance Tests for Boosted Location and Scale Models with Linear Base-Learners

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Addendum to: Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso

Mayr, Andreas

Mayr, Andreas

Mayr, Andreas

Bildnis einer Hindelangerin

Mayr, Andreas

Mayr, Andreas

Mayr, Andreas

Boosting the Concordance Index for Survival Data – A Unified Framework To Derive and Evaluate Biomarker Combinations

Significance Tests for Boosted Location and Scale Models with Linear Base-Learners

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Addendum to: Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso

Mayr, Andreas

Mayr, Andreas

Mayr, Andreas

Bildnis einer Hindelangerin

Mayr, Andreas

Mayr, Andreas

Mayr, Andreas

Boosting the Concordance Index for Survival Data – A Unified Framework To Derive and Evaluate Biomarker Combinations

Significance Tests for Boosted Location and Scale Models with Linear Base-Learners

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Addendum to: Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso

Mayr, Andreas

Mayr, Andreas

Mayr, Andreas

Bildnis einer Hindelangerin

Mayr, Andreas

Mayr, Andreas

Mayr, Andreas

Related objects

Reset password