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Statistics in clinical research: Important considerations

Statistical analysis is one of the foundations of evidence-based clinical practice, a key in conducting new clinical research and in evaluating and applying prior research. In this paper, we review the choice of statistical procedures, analyses of the associations among variables and techniques used...

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Detalles Bibliográficos
Autor principal: Barkan, Howard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900305/
https://www.ncbi.nlm.nih.gov/pubmed/25566715
http://dx.doi.org/10.4103/0971-9784.148325
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author Barkan, Howard
author_facet Barkan, Howard
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description Statistical analysis is one of the foundations of evidence-based clinical practice, a key in conducting new clinical research and in evaluating and applying prior research. In this paper, we review the choice of statistical procedures, analyses of the associations among variables and techniques used when the clinical processes being examined are still in process. We discuss methods for building predictive models in clinical situations, and ways to assess the stability of these models and other quantitative conclusions. Techniques for comparing independent events are distinguished from those used with events in a causal chain or otherwise linked. Attention then turns to study design, to the determination of the sample size needed to make a given comparison, and to statistically negative studies.
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spelling pubmed-49003052016-06-16 Statistics in clinical research: Important considerations Barkan, Howard Ann Card Anaesth Review Article Statistical analysis is one of the foundations of evidence-based clinical practice, a key in conducting new clinical research and in evaluating and applying prior research. In this paper, we review the choice of statistical procedures, analyses of the associations among variables and techniques used when the clinical processes being examined are still in process. We discuss methods for building predictive models in clinical situations, and ways to assess the stability of these models and other quantitative conclusions. Techniques for comparing independent events are distinguished from those used with events in a causal chain or otherwise linked. Attention then turns to study design, to the determination of the sample size needed to make a given comparison, and to statistically negative studies. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4900305/ /pubmed/25566715 http://dx.doi.org/10.4103/0971-9784.148325 Text en Copyright: © 2015 Annals of Cardiac Anaesthesia http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Review Article
Barkan, Howard
Statistics in clinical research: Important considerations
title Statistics in clinical research: Important considerations
title_full Statistics in clinical research: Important considerations
title_fullStr Statistics in clinical research: Important considerations
title_full_unstemmed Statistics in clinical research: Important considerations
title_short Statistics in clinical research: Important considerations
title_sort statistics in clinical research: important considerations
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900305/
https://www.ncbi.nlm.nih.gov/pubmed/25566715
http://dx.doi.org/10.4103/0971-9784.148325
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