Clinical research XIV. From the clinical judgment to the statistical model

Main Article Content

Juan O Talavera
<p>Centro de Adiestramiento en Investigaci&oacute;n Cl&iacute;nica, Coordinaci&oacute;n de Investigaci&oacute;n en Salud, Centro M&eacute;dico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de M&eacute;xico</p>

Rodolfo Rivas-Ruiz
<p>Centro de Adiestramiento en Investigaci&oacute;n Cl&iacute;nica, Coordinaci&oacute;n de Investigaci&oacute;n en Salud, Centro M&eacute;dico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de M&eacute;xico</p>

Keywords

Biomedical research, Research design, Statistics as topic

Abstract

A statistical test is incomprehensible when it is out of context, so it is necessary to identify the details of the phenomenon of causality in the clinical course of the disease and to integrate the statistical model. Thus, the statistical tests used will try to characterize baseline, maneuver and the outcome, and will show the relationship between them. When we read the results in clinical research, the first thing that the author describes are general characteristics of the population, starting with number of patients evaluated and selected, average age, gender, and number of subjects meeting the outcome. It is extremely important because with the same criteria two studies may contain populations completely opposite. Posterior description usually continues through tables that follow a logical sequence, which allows us to integrate the statistical model to clinical judgment: baseline characteristics of the population and its distribution in each of the maneuvers, characteristics of the main and peripheral maneuvers, main effect of the maneuver on the outcome, and the impact of principal maneuver in the outcome, but adjusted for any variable that can alter this impact.

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References

Feinstein AR. Clinical biostatistic. Washington: Mosby; 1977. 

 

Feinstein AR. Clinical epidemiology. The architecture of clinical research. Philadelphia: WB Saunders; 1985.

 

Feinstein AR. Clinical judgment. Baltimore: Williams and Wilkins; 1967.

 

Feinstein AR. Multivariable Analysis: an introduction. New Haven, CT: Yale University Press; 1996.

 

Portney LG, Watkins MP. Foundations of clinical research: applications to practice. Third edition. New Jersey: Pearson/Prentice Hall; 2009.

 

Talavera JO. Clinical research I. The importance of the research design. Rev Med Inst Mex Seguro Soc. 2011;49(1):53-8.

 

Talavera JO, Wacher-Rodarte NH, Rivas-Ruiz R. Clinical research III. The causality studies. Rev Med Inst Mex Seguro Soc. 2011;49(3):289-94.

 

Talavera JO, Rivas-Ruiz R. Clinical research IV. Relevancy of the statistical test chosen. Rev Med Inst Mex Seguro Soc. 2011;49(4):401-5

 

Talavera JO, Rivas-Ruiz R, Bernal-Rosales LP. Clinical research V. Sample size. Rev Med Inst Mex Seguro Soc. 2011;49(5):517-22

 

Talavera JO, Rivas-Ruiz R. Clinical research VI. Clinical relevance. Rev Med Inst Mex Seguro Soc. 2011;49(6):631-5.

Article Sidebar

PDF (Spanish)
Issue
Vol. 51 No. 2 (2013): March-April
Section
Temas de actualidad

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How to Cite

1.
Talavera JO, Rivas-Ruiz R. Clinical research XIV. From the clinical judgment to the statistical model. Rev Med Inst Mex Seguro Soc [Internet]. 2016 Dec. 16 [cited 2025 Jul. 17];51(2):170-5. Available from: https://revistamedica.imss.gob.mx/index.php/revista_medica/article/view/996