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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Medknow Publications & Media Pvt Ltd
2015
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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 |
author_sort | Barkan, Howard |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4900305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT barkanhoward statisticsinclinicalresearchimportantconsiderations |