A John Rush

The Texas medication algorithm project: clinical results for schizophrenia.

T Michael Kashner, Alexander L. Miller, Melanie Biggs, 2004, Schizophrenia bulletin.

Recursive subsetting to identify patients in the STAR*D: a method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care.

A. Kuk, A. Rush, A John Rush, 2010, The Journal of clinical psychiatry.

Catching up on health outcomes: the Texas Medication Algorithm Project.

T Michael Kashner, Alexander L. Miller, M. Trivedi, 2003, Health services research.

Measurement-based care in psychiatric practice: a policy framework for implementation.

Harold Alan Pincus, Melissa R. Arbuckle, M. Trivedi, 2011, The Journal of clinical psychiatry.

Customizing treatment to the patient: adaptive treatment strategies.

Susan A Murphy, S. Murphy, L. Collins, 2007, Drug and alcohol dependence.

Toward an online cognitive and emotional battery to predict treatment remission in depression

Evian Gordon, Donna M. Palmer, E. Gordon, 2015, Neuropsychiatric disease and treatment.

Association between a functional serotonin transporter promoter polymorphism and citalopram treatment in adult outpatients with major depression.

Francis J McMahon, Husseini Manji, George J Papanicolaou, 2007, Archives of general psychiatry.

A Cognitive–Emotional Biomarker for Predicting Remission with Antidepressant Medications: A Report from the iSPOT-D Trial

Leanne M Williams, Brian Patenaude, Amit Etkin, 2015, Neuropsychopharmacology.

A genomewide association study points to multiple loci that predict antidepressant drug treatment outcome in depression.

Stephan Ripke, Florian Holsboer, Volker Arolt, 2009, Archives of general psychiatry.