Statistical methods for assessing agreement between double readings of clinical measurements

Autores

  • Sonia Vieira São Leopoldo Mandic Dental Research Center
  • José Eduardo Corrente State University of São Paulo; Institute of Biosciences; Department of Biostatistics

DOI:

https://doi.org/10.1590/S1678-77572011000500009

Palavras-chave:

Measurements, Orthodontics, Errors

Resumo

Statistical analysis of data is crucial in cephalometric investigations. There are certainly excellent examples of good statistical practice in the field, but some articles published worldwide have carried out inappropriate analyses. OBJECTIVE: The purpose of this study was to show that when the double records of each patient are traced on the same occasion, a control chart for differences between readings needs to be drawn, and limits of agreement and coefficients of repeatability must be calculated. MATERIAL AND METHODS: Data from a well-known paper in Orthodontics were used for showing common statistical practices in cephalometric investigations and for proposing a new technique of analysis. RESULTS: A scatter plot of the two radiograph readings and the two model readings with the respective regression lines are shown. Also, a control chart for the mean of the differences between radiograph readings was obtained and a coefficient of repeatability was calculated. CONCLUSIONS: A standard error assuming that mean differences are zero, which is referred to in Orthodontics and Facial Orthopedics as the Dahlberg error, can be calculated only for estimating precision if accuracy is already proven. When double readings are collected, limits of agreement and coefficients of repeatability must be calculated. A graph with differences of readings should be presented and outliers discussed.

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Publicado

2011-10-01

Edição

Seção

Artigos Originais

Como Citar

Statistical methods for assessing agreement between double readings of clinical measurements . (2011). Journal of Applied Oral Science, 19(5), 488-492. https://doi.org/10.1590/S1678-77572011000500009