raqini

#Predictive model from GENDEP data 
#Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables.
#Raquel Iniesta raquel.iniesta@kcl.ac.uk

#Use the model to estimate the probability of remission (yes or not) for a patient of depression after 12 weeks of treatment with Escitalopram.
#List of baseline predictors that are necessary for the prediction: 

#CLINICAL variables:
#appetite defined as in R. Uher et al. Depression symptom dimensions as predictors of antidepressant treatment outcome: replicable evidence for interest-activity symptoms Psychol. Med., 42 (2012), pp. 967–980
#BDI_changes_sleep is the score for BDI item number

raqini

#Predictive model from GENDEP data published in J Psychiatr Res. 2016 Jul;78:94-102. doi: #10.1016/j.jpsychires.2016.03.016. 
#Combining clinical variables to optimize prediction of antidepressant treatment outcomes.
#Raquel Iniesta raquel.iniesta@kcl.ac.uk

#Use the model to estimate the percentage of depressive symptoms improvement for a patient of depression. 
#Outcome predicted is the percentage of improvement measured with MADRS scale after 12 weeks of treatment with Escitalopram.    

#list of 14 baseline predictors that are necessary to predict the outcome. 

# MADRS_10 is the score for MADRS item number 10