AU - yazdani charati, jamshid AU - tatari, maryam AU - karami, hasan AU - rohani zadeh, hamed TI - Generalized estimating equations and its application in infantile colic data analysis PT - JOURNAL ARTICLE TA - thums-jms JN - thums-jms VO - 2 VI - 2 IP - 2 4099 - http://jms.thums.ac.ir/article-1-108-en.html 4100 - http://jms.thums.ac.ir/article-1-108-en.pdf SO - thums-jms 2 AB  - Introdiuction and objective: Many Studies about Epidemiology and medical sciences that measured desired outcome at frequently individuals over times are done based on a longitudinal design. the features of a data set is repeated observes . For this reason , requirement of independence observation in longitudinal data is violated that causes this kind of data needs the specific statistical method. One of the methods that is used for analyzing this kind of data is marginal model . generalized estimating equations (GEE) is a famous statistical inference for this . By this , the purpose of study GEE applications in data comes from the result of the clinical trail is to survey the treatment of infancy colic. Methods: In this study , in addition to introduce generalized estimating equations benefits the usage of it on analyzing probiotics impact on infancy colic in breast milk fed by using SAS 9.2 soft ware . These data include 98 infants that recourse pediatric gastroenterology clinic in Booali hospital in Sari .it is the result of accidental one side trial study . Patients were randomly divided in two 49 members groups .the control group was given placebo and another group was administered Biogaia oral drop in 28 days . In this study , the response variable is the average crying time of infants during the week –fist day,7th day, 14th day and 21th day were recorded respectively. Result: The result showed that using probiotic drop, time and Maternal smoking had significant impact on infancy colic.the crying time of those babies that used probiotic drop reduced 9 hours in compare with those who didn’t use . (p CP - IRAN IN - LG - eng PB - thums-jms PG - 49 PT - Research YR - 2014