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生物统计学:临床医生的必备概念。

Biostatistics: essential concepts for the clinician.

机构信息

Universidade Federal do Pará, Programa de Pós-Graduação em Odontologia (Belém/PA, Brazil).

Universidade Federal do Pará, Departamento de Odontologia (Belém/PA, Brazil).

出版信息

Dental Press J Orthod. 2021 Mar 10;26(1):e21spe1. doi: 10.1590/2177-6709.26.1.E21SPE1. eCollection 2021.

Abstract

INTRODUCTION

The efficiency of clinical procedures is based on practical and theoretical knowledge. Countless daily information is available to the orthodontist, but it is up to this professional to know how to select what really has an impact on clinical practice. Evidence-based orthodontics ends up requiring the clinician to know the basics of biostatistics to understand the results of scientific publications. Such concepts are also important for researchers, for correct data planning and analysis.

OBJECTIVE

This article aims to present, in a clear way, some essential concepts of biostatistics that assist the clinical orthodontist in understanding scientific research, for an evidence-based clinical practice. In addition, an updated version of the tutorial to assist in choosing the appropriate statistical test will be presented. This PowerPoint® tool can be used to assist the user in finding answers to common questions about biostatistics, such as the most appropriate statistical test for comparing groups, choosing graphs, performing correlations and regressions, analyzing casual, random or systematic errors.

CONCLUSION

Researchers and clinicians must acquire or recall essential concepts to understand and apply an appropriate statistical analysis. It is important that journal readers and reviewers can identify when statistical analyzes are being inappropriately used.

摘要

简介

临床程序的效率基于实践和理论知识。正畸医生每天都会接触到无数的信息,但关键在于要知道如何选择对临床实践有真正影响的信息。循证正畸学要求临床医生了解生物统计学的基础知识,以便理解科学出版物的结果。这些概念对于研究人员来说也很重要,有助于正确的数据规划和分析。

目的

本文旨在以清晰的方式介绍一些生物统计学的基本概念,帮助临床正畸医生理解科学研究,从而实现循证临床实践。此外,还将介绍一个更新版本的教程,以帮助选择适当的统计检验。这个 PowerPoint®工具可用于帮助用户找到有关生物统计学常见问题的答案,例如比较组的最合适的统计检验、选择图表、进行相关性和回归分析、分析偶然、随机或系统误差。

结论

研究人员和临床医生必须掌握或回忆基本概念,以理解和应用适当的统计分析。重要的是,期刊读者和审稿人能够识别何时不恰当地使用了统计分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/620d/8018753/f5faf83c3790/2177-6709-dpjo-26-01-e21spe1-gf1.jpg

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