E-LIB Suche - Ergebnisse für: Seibold, Heidi

1

Association between post-operative delirium and use of vola..:

Saller, Thomas ; Hubig, Lena ; Seibold, Heidi...
Journal of Clinical Anesthesia. 83 (2022) - p. 110957 , 2022

Link: https://doi.org/10.1016/..

2

Correction: A computational reproducibility study of PLOS O..:

Seibold, Heidi ; Czerny, Severin ; Decke, Siona...
PLOS ONE. 17 (2022) 5 - p. e0269047 , 2022

Link: https://doi.org/10.1371/..

3

A computational reproducibility study of PLOS ONE articles ..:

Seibold, Heidi ; Czerny, Severin ; Decke, Siona...
PLOS ONE. 16 (2021) 6 - p. e0251194 , 2021

Link: https://doi.org/10.1371/..

4

Statisticians, Roll Up Your Sleeves! There's A Crisis to be..:

Seibold, Heidi ; Charlton, Alethea ; Boulesteix, Anne-Laure.
Significance. 18 (2021) 4 - p. 42-44 , 2021

Link: https://doi.org/10.1111/..

5

Open Science in Software Engineering:

, In: Contemporary Empirical Methods in Software Engineering,

Mendez, Daniel ; Graziotin, Daniel ; Wagner, Stefan. - p. 477-501 , 2020

Link: https://doi.org/10.1007/..

6

A Replication Crisis in Methodological Research?:

Boulesteix, Anne-Laure ; Hoffmann, Sabine ; Charlton, Alethea.
Significance. 17 (2020) 5 - p. 18-21 , 2020

Link: https://doi.org/10.1111/..

7

Estimating patient-specific treatment advantages in the 'Tr..:

Foster, Simon ; Mohler-Kuo, Meichun ; Tay, Lynette..
Journal of Psychiatric Research. 112 (2019) - p. 61-70 , 2019

Link: https://doi.org/10.1016/..

8

Survival forests under test: Impact of the proportional haz..:

Korepanova, Natalia ; Seibold, Heidi ; Steffen, Verena.
Statistical Methods in Medical Research. 29 (2019) 5 - p. 1403-1419 , 2019

Link: https://doi.org/10.1177/..

9

model4you: An R Package for Personalised Treatment Effect E..:

Seibold, Heidi ; Zeileis, Achim ; Hothorn, Torsten
Journal of Open Research Software. 7 (2019) 1 - p. 17 , 2019

Link: https://doi.org/10.5334/..

10

Generalised linear model trees with global additive effects:

Seibold, Heidi ; Hothorn, Torsten ; Zeileis, Achim
Advances in Data Analysis and Classification. 13 (2018) 3 - p. 703-725 , 2018

Link: https://doi.org/10.1007/..

11

Subgroup identification in dose‐finding trials via model‐ba..:

Thomas, Marius ; Bornkamp, Björn ; Seibold, Heidi
Statistics in Medicine. 37 (2018) 10 - p. 1608-1624 , 2018

Link: https://doi.org/10.1002/..

12

Individual treatment effect prediction for amyotrophic late..:

Seibold, Heidi ; Zeileis, Achim ; Hothorn, Torsten
Statistical Methods in Medical Research. 27 (2017) 10 - p. 3104-3125 , 2017

Link: https://doi.org/10.1177/..

13

OpenML: An R package to connect to the machine learning pla..:

Casalicchio, Giuseppe ; Bossek, Jakob ; Lang, Michel...
Computational Statistics. 34 (2017) 3 - p. 977-991 , 2017

Link: https://doi.org/10.1007/..

14

On the choice and influence of the number of boosting steps..:

Seibold, Heidi ; Bernau, Christoph ; Boulesteix, Anne-Laure.
Computational Statistics. 33 (2017) 3 - p. 1195-1215 , 2017

Link: https://doi.org/10.1007/..

15

Model-Based Recursive Partitioning for Subgroup Analyses:

Seibold, Heidi ; Zeileis, Achim ; Hothorn, Torsten
The International Journal of Biostatistics. 12 (2016) 1 - p. 45-63 , 2016

Link: https://doi.org/10.1515/..