Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study

Reevaluating the Efficacy and Predictability of Antidepressant Treatments

(2017) Adam M. Chekroud et al.   JAMA Psychiatry

The Dutch Measure for quantification of Treatment Resistance in Depression (DM-TRD): an extension of the Maudsley Staging Method

(2016) Frenk P.M.L. Peeters et al.   JOURNAL OF AFFECTIVE DISORDERS

Moderation of the Relationship Between Reward Expectancy and Prediction Error-Related Ventral Striatal Reactivity by Anhedonia in Unmedicated Major Depressive Disorder: Findings From the EMBARC Study

(2015) Tsafrir Greenberg et al.   AMERICAN JOURNAL OF PSYCHIATRY

Identifying Predictors, Moderators, and Mediators of Antidepressant Response in Major Depressive Disorder: Neuroimaging Approaches

(2015) Mary L. Phillips et al.   AMERICAN JOURNAL OF PSYCHIATRY

Neural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study

(2015) Christian A Webb et al.   NEUROPSYCHOPHARMACOLOGY

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Accounting for Dynamic Fluctuations across Time when Examining fMRI Test-Retest Reliability: Analysis of a Reward Paradigm in the EMBARC Study

(2015) Henry W. Chase et al.   PLoS One

Application of the Gradient Boosted method in randomised clinical trials: Participant variables that contribute to depression treatment efficacy of duloxetine, SSRIs or placebo

(2014) Seetal Dodd et al.   JOURNAL OF AFFECTIVE DISORDERS

Brief, unidimensional melancholia rating scales are highly sensitive to the effect of citalopram and may have biological validity: Implications for the Research Domain Criteria (RDoC)

(2014) Søren D. Østergaard et al.   JOURNAL OF AFFECTIVE DISORDERS

A Clinical Risk Stratification Tool for Predicting Treatment Resistance in Major Depressive Disorder

(2013) Roy H. Perlis   BIOLOGICAL PSYCHIATRY

Correlated variables in regression: Clustering and sparse estimation

(2013) Peter Bühlmann et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Personality Traits as Risk Factors for Treatment-Resistant Depression

(2013) Michio Takahashi et al.   PLoS One

Low Openness on the Revised NEO Personality Inventory as a Risk Factor for Treatment-Resistant Depression

(2013) Michio Takahashi et al.   PLoS One

The Canadian Biomarker Integration Network in Depression (CAN-BIND): Advances in Response Prediction

(2012) Sidney H. Kennedy et al.   CURRENT PHARMACEUTICAL DESIGN

Comparing HAMD17 and HAMD subscales on their ability to differentiate active treatment from placebo in randomized controlled trials

(2012) Ruud Boessen et al.   JOURNAL OF AFFECTIVE DISORDERS

Factor structure and dimensionality of the two depression scales in STAR*D using level 1 datasets

(2011) P. Bech et al.   JOURNAL OF AFFECTIVE DISORDERS

Staging methods for treatment resistant depression. A systematic review

(2011) Henricus G. Ruhé et al.   JOURNAL OF AFFECTIVE DISORDERS

Risk factors of treatment resistance in major depression: Association with bipolarity

(2010) Dominika Dudek et al.   JOURNAL OF AFFECTIVE DISORDERS

Recursive Subsetting to Identify Patients in the STAR*D

(2010) Anthony Y. C. Kuk et al.   JOURNAL OF CLINICAL PSYCHIATRY

Sensitivity of the individual items of the Hamilton depression rating scale to response and its consequences for the assessment of efficacy

(2008) Gijs Santen et al.   JOURNAL OF PSYCHIATRIC RESEARCH