East African journal of public health · 2010
Implementation of statistical analysis in the clinical research of coeliac disease: use of probit and logit analysis.
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Pourhoseingholi Asma, Pourhoseingholi Mohamad Amin, Rostami-Nejad Mohammad, Rostami Kamran, Mirsatari Darioush, Zojaji Homayoun, Solhpour Ali, Zali Mohammad Reza
Аннотация
BACKGROUND: Coeliac disease (CD) is an autoimmune disorder of the small intestine that occurs in genetically predisposed people of all ages. The objective of this study is to investigate the relation between demographic and clinical factors with coeliac disease using probit and logit models.
METHODS: During the period of January to December 2008, 396 patients were recruited for this study. Histologic characteristics in duodenal biopsy specimens were evaluated in those with serology positive for coeliac disease according to the modified Marsh Classification 1999.
RESULTS: From all of 369 cases in our study 26 (7.1%) had coeliac disease according to pathology results. Both of models had the same result indicated a negative association between BMI and CD but other factors were not significant.
CONCLUSION: Coeliac patient had less BMI compare with rest of study population. Results from probit and logit models were similar to each others, indicated that probit analysis can be employed as a logit model to analyze the relationship between clinical and demographic factors and CD.
METHODS: During the period of January to December 2008, 396 patients were recruited for this study. Histologic characteristics in duodenal biopsy specimens were evaluated in those with serology positive for coeliac disease according to the modified Marsh Classification 1999.
RESULTS: From all of 369 cases in our study 26 (7.1%) had coeliac disease according to pathology results. Both of models had the same result indicated a negative association between BMI and CD but other factors were not significant.
CONCLUSION: Coeliac patient had less BMI compare with rest of study population. Results from probit and logit models were similar to each others, indicated that probit analysis can be employed as a logit model to analyze the relationship between clinical and demographic factors and CD.