Journal Article

DKFZ-2024-00353

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Statistical plasmode simulations-Potentials, challenges and recommendations.

Schreck, N. (First author)DKFZ* ; Slynko, A. ; Saadati, M.DKFZ* ; Benner, A. (Last author)DKFZ*

2024
Wiley Chichester [u.a.]

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Please use a persistent id in citations: doi:10.1002/sim.10012

Abstract: Statistical data simulation is essential in the development of statistical models and methods as well as in their performance evaluation. To capture complex data structures, in particular for high-dimensional data, a variety of simulation approaches have been introduced including parametric and the so-called plasmode simulations. While there are concerns about the realism of parametrically simulated data, it is widely claimed that plasmodes come very close to reality with some aspects of the 'truth' known. However, there are no explicit guidelines or state-of-the-art on how to perform plasmode data simulations. In the present paper, we first review existing literature and introduce the concept of statistical plasmode simulation. We then discuss advantages and challenges of statistical plasmodes and provide a step-wise procedure for their generation, including key steps to their implementation and reporting. Finally, we illustrate the concept of statistical plasmodes as well as the proposed plasmode generation procedure by means of a public real RNA data set on breast carcinoma patients.

Keyword(s): data-generating process ; outcome-generating model ; parametric simulations ; resampling ; statistical plasmodes

Note: TUTORIAL IN BIOSTATISTICS / #EA:C060#LA:C060# / 2024 Apr 30;43(9):1804-1825

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Contributing Institute(s):

1. C060 Biostatistik (C060)

Research Program(s):

1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2024

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; DEAL Wiley ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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