CC BY-NC-ND 4.0 · Revista Iberoamericana de Cirugía de la Mano 2018; 46(02): 150-171
DOI: 10.1055/s-0038-1675587
Update Article | Artículo de Actualización
Thieme Revinter Publicações Ltda Rio de Janeiro, Brazil

Basics of Statistics for Clinical Research in Hand Surgery

Estadísticas básicas para la investigación clínica en cirugía de mano
Roberto S. Rosales
1   Hand Surgery and Microsurgery Unit, GECOT, La Laguna, Tenerife, Spain
,
Isam Atroshi
2   Department of Clinical Sciences, Lund University, Lund, Sweden
3   Department of Orthopedics Hässleholm-Kristianstad, Hässleholm Hospital, Hässleholm, Sweden
› Author Affiliations
Further Information

Publication History

03 October 2018

11 October 2018

Publication Date:
07 December 2018 (online)

Abstract

Statistics, the science of numerical evaluation, helps in determining the real value of a hand surgical intervention. Clinical research in hand surgery cannot improve without considering the application of the most appropriate statistical procedures. The purpose of the present paper is to approach the basics of data analysis using a database of carpal tunnel syndrome (CTS) to understand the data matrix, the generation of variables, the descriptive statistics, the most appropriate statistical tests based on how data were collected, the parameter estimation (inference statistics) with p-value or confidence interval, and, finally, the important concept of generalized linear models (GLMs) or regression analysis.

Resumen

La “Estadística” es la ciencia de la evaluación numérica que nos permite determinar el valor real de las intervenciones quirúrgicas. La Investigación Clínica en Cirugía de la mano no puede mejorar sin considerar la correcta aplicación de los test estadísticos. El objetivo del presente trabajo de actualización es abordar los principios de los análisis estadísticos usando una base de síndrome de túnel carpiano (STC) para entender la matriz de datos, la generación de variables, la estadística descriptiva, los test más apropiados en base a como han sido recolectada la información, la estimación de parámetros (inferencia estadística) mediante valores “p” o intervalos de confianza, y finalmente, la introducción de los conceptos de “Modelos L ineales Generalizados”.

 
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