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.
GANJALI, M., & REZAEI, M. (2005). AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE. Iranian Journal of Science, 29(2), 287-294. doi: 10.22099/ijsts.2005.2804
MLA
M. GANJALI; M. REZAEI. "AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE", Iranian Journal of Science, 29, 2, 2005, 287-294. doi: 10.22099/ijsts.2005.2804
HARVARD
GANJALI, M., REZAEI, M. (2005). 'AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE', Iranian Journal of Science, 29(2), pp. 287-294. doi: 10.22099/ijsts.2005.2804
VANCOUVER
GANJALI, M., REZAEI, M. AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE. Iranian Journal of Science, 2005; 29(2): 287-294. doi: 10.22099/ijsts.2005.2804
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