Streamlining Study Design and Statistical Analysis

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Identifier 038_RR2016_Streamlining_Study_Design_GOURIPEDDI.pdf
Title Streamlining Study Design and Statistical Analysis
Creator Ramkiran Gouripeddi; Mollie Cummins; Randy Madsen; Bernie LaSalle; Andrew Redd; Xiangyang Ye; Angela Presson; Tom Greene; Julio Facelli
Subject Research; Statistical Workflow; Research Reproducibility
Description Introduction: Key factors causing irreproducibility of research include those related to inappropriate study design methodologies and statistical analysis; In modern statistical practice irreproducibility could arise due to; Statistical: False discoveries, p-Hacking, Overuse/misuse of p-values, Low power, Poor experimental design; Computational: Data, Code & Software management issues; These require understanding the processes and workflows practiced by an organization, and the development and use of metrics to quantify reproducibility. Conclusion: Automated platforms for statistical workflows; Data-intensive process use process-workflow management platforms: Activiti, Pegasus and Taverna; These strategies for sharing and publishing study protocols, data, code and results across the spectrum, active collaboration with the research team, automation of key steps, along with decision support will ensure quality of statistical methods and reproducibility of research.
Relation is Part of 2016 Research Reproducibility Conference & Lectures
Publisher Spencer S. Eccles Health Sciences Library, University of Utah
Date Digital 2016
Date 2016
Format application/pdf
Rights Management Copyright 2016. For further information regarding the rights to this collection, please visit:
Language eng
ARK ark:/87278/s6h46448
Type Text
Setname ehsl_rr
Date Created 2019-02-21
Date Modified 2019-03-04
ID 1400710
Reference URL
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