Statistical analysis involving the identification of risk factors in patients with lung cancer

Authors

  • Yohani García Mederos Hospital General Docente Provincial "Carlos Manuel de Céspedes", Bayamo, Granma.
  • Larisa Zamora Matamoros Universidad de Oriente, Santiago de Cuba, Cuba.
  • Nelsa Sagaró del Campo Universidad de Ciencias Médicas, Santiago de Cuba, Cuba.

Keywords:

involved statistical analysis, lung cancer, risk factor, logistical regression, sensibility, specificity, secondary health care.

Abstract

An analytic study of cases and controls was carried out, in order to evaluate the usefulness of the statistical analysis involved in the identification of risk factors in patients with lung neoplasia, assisted in "Conrado Benítez García" and "Dr. Juan Bruno Zayas Alfonso" hospitals in Santiago de Cuba, from July 1st, 2012 to June 31st, 2013.  Fifty cases were selected by means of a random systematic sampling and the same quantity of controls according to sampling through conglomerates in 4 stages (1:1).  Logistical regression techniques and the statistical analysis were compared; the first one was used as keystone and sensibility, specificity, reasons of verisimilitude and index of Kappa were obtained, between them.  It is concluded that both techniques are supplemented in the identification of risk factors and they allow a more complete interpretation of the causality phenomenon. 

 

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Published

2015-08-11

How to Cite

1.
García Mederos Y, Zamora Matamoros L, Sagaró del Campo N. Statistical analysis involving the identification of risk factors in patients with lung cancer. MEDISAN [Internet]. 2015 Aug. 11 [cited 2025 Jun. 3];19(8). Available from: https://medisan.sld.cu/index.php/san/article/view/248

Issue

Vol. 19 No. 8 (2015): MEDISAN

Section

Original Articles

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