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ESPRESSO specifications

Information


Unique identifier OMICS_08663
Name ESPRESSO
Alternative name Estimating Sample-size and Power in R by Exploring Simulated Study Outcomes
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability No
Maintained No

Versioning


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Information


Unique identifier OMICS_08663
Name ESPRESSO
Alternative name Estimating Sample-size and Power in R by Exploring Simulated Study Outcomes
Interface Web user interface
Restrictions to use None
Programming languages R
Computer skills Basic
Stability No
Maintained No

Maintainer


This tool is not available anymore.

Publication for Estimating Sample-size and Power in R by Exploring Simulated Study Outcomes

ESPRESSO citations

 (3)
library_books

Genetic model misspecification in genetic association studies

2017
BMC Res Notes
PMCID: 5678796
PMID: 29115983
DOI: 10.1186/s13104-017-2911-3

[…] An ESPRESSO process involves repeatedly simulating a dataset with key characteristics and evaluating in what proportion of the simulations the effect of interest can be detected by an appropriate method […]

library_books

Understanding the impact of pre analytic variation in haematological and clinical chemistry analytes on the power of association studies

2014
Int J Epidemiol
PMCID: 4190517
PMID: 25085103
DOI: 10.1093/ije/dyu127

[…] ount must be taken in designing sub-studies. Rather than trying to produce exhaustive lists of power adjustments for different delay times for a wide range of analytes, we are currently extending the ESPRESSO power calculator to take data from studies such as the biobank pre-pilot study analysed in this paper, and to convert these data into sample size inflation figures for different settings and […]

library_books

Size matters: just how big is BIG?

2008
Int J Epidemiol
PMCID: 2639365
PMID: 18676414
DOI: 10.1093/ije/dyn147

[…] dy design in the many large-scale biobanks that are currently being conceived and launched; (iii) to alert readers, particularly those setting up new biobanks, to a web-based implementation—ESPRESSO (Estimating Sample-size and Power in R by Exploring Simulated Study Outcomes)—of the power calculator used in this article and to provide detailed information (in Supplementary methods) about the mathe […]

Citations

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ESPRESSO institution(s)
School of Social and Community Medicine, University of Bristol, UK; School of Computing Science, Newcastle University, UK
ESPRESSO funding source(s)
The initial development of the ESPRESSO tool used in this work was supported by the Canadian Institutes of Health Research through the Public Population Project in Genomics and Society (P3G) [grant number 64070822]. The current development of ESPRESSO is funded by the European Union through the Biobank Standardization and Harmonization for Research Excellence in the European Union (BioSHaRE-EU) project [FP7-HEALTH-F4-201433].

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