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GANJALI, M., REZAEI, M.. (1384). AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE. , 29(2), 287-294. doi: 10.22099/ijsts.2005.2804
M. GANJALI; M. REZAEI. "AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE". , 29, 2, 1384, 287-294. doi: 10.22099/ijsts.2005.2804
GANJALI, M., REZAEI, M.. (1384). 'AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE', , 29(2), pp. 287-294. doi: 10.22099/ijsts.2005.2804
GANJALI, M., REZAEI, M.. AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE. , 1384; 29(2): 287-294. doi: 10.22099/ijsts.2005.2804

AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE

Iranian Journal of Science
مقاله 6، دوره 29، شماره 2، آذر 2005، صفحه 287-294    اصل مقاله (216.41 K)
نوع مقاله: Regular Paper
شناسه دیجیتال (DOI): 10.22099/ijsts.2005.2804
نویسندگان
M. GANJALI* ؛ M. REZAEI
Dept. of Statistics, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, I. R. of Iran
چکیده
A generalized Heckman model is used for the joint modeling of longitudinal continuous
responses and dropout in order to see the influence of a small perturbation of the elements of the
covariance structure on displacement of the likelihood. The perturbation from random dropout in the
direction of informative dropout is considered for Mastitis data.
کلیدواژه‌ها
Longitudinal data؛ Informative dropout؛ Sensitivity analysis؛ Generalized Heckman model
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