depressive symptoms over 1 year intervals

Machine learning, statistical learning and the future of biological research in psychiatry

complete case analysis may bias analysis
dimensional problems extension of general linear regression
table 1 summarizes 7 popular sl algorithms
approach of comparing thousands of single association test
elastic net allowed building drug specific model

Predicting the diagnosis of autism in adults using the Autism-Spectrum Quotient (AQ) questionnaire

Risk and functional significance of psychotic experiences among individuals with depression in 44 low- and middle-income countries

Risperidone-induced topological alterations of anatomical brain network in first-episode drug-naive schizophrenia patients: a longitudinal diffusion tensor imaging study

range=18-37 years online Supplementary Table S1
FOV=250*250, slice thickness=1.0 mm, gap=0
tion matrix=128*128, flip angle=90°, b=0 and 1000 s/mm2 along 64
tobacco use (p's>0.05) online Supplementary Table S1

Selective prevention of combat-related post-traumatic stress disorder using attention bias modification training: a randomized controlled trial

outcome remain robust across alternative model

ratio<=>3.13, 95% confidence interval 1.01-9.22, p<0.05, number needed treat=19.2
assessment points 2-4, all p's>0.10 online Supplementary Table S2
F=2.49, p<0.008 online Supplementary Fig. S2

Self-reference in psychosis and depression: a language marker of illness

both achieve>75% accuracy distinguish psychosis from control subjects Strous et al. 2009 Hong et al. 2015
Fig. 2a, black bars, t=3.66, FDR adjusted p=7.00*10-3
Fig. 2b, black bars, t=-4.34, FDR adjusted p=1.67*10-3
Fig. 2c, black bars, t=3.66, FDR adjusted p=0.02

Fig. 2a, black bars, t=3.66, FDR adjusted p=7.00*10^-3
Fig. 2b, black bars, t=-4.34, FDR adjusted p=1.67*10^-3

Temporal reproduction and its neuroanatomical correlates in adults with attention deficit hyperactivity disorder and their unaffected first-degree relatives

trend towards progressively greater time underestimation
bivariate analysis between greymatter volume estimates