treat approach versus completersonly analysis
treat approach versus completers only analysis

confidence interval CI 2.35-4.64, z=6.9, p<0.0001

Sexual minority status and psychotic symptoms: findings from the Netherlands Mental Health Survey and Incidence Studies (NEMESIS)

obtain bias corrected 95% confidence interval

Sociodemographic, psychiatric and somatic risk factors for suicide: a Swedish national cohort study

each 10 year increment 0.99, 95% CI 0.97-1.00, ptrend=0.10
each 10 year increment 0.99, 95% CI 0.98-1.00, ptrend=0.16

Subclinical psychotic experiences and bipolar spectrum features in depression: association with outcome of psychotherapy

A randomized controlled comparison of integrative cognitive-affective therapy (ICAT) and enhanced cognitive-behavioral therapy (CBT-E) for bulimia nervosa

assessment enrollment allocation follow up analysis

Biased attention to threat in paediatric anxiety disorders (generalized anxiety disorder, social phobia, specific phobia, separation anxiety disorder) as a function of 'distress' versus 'fear' diagnostic categorization

n=200 only two control children had SCAS P scores>29

Cannabis use and first-episode psychosis: relationship with manic and psychotic symptoms, and with age at presentation

akaike information criterionbased stepwise method

Cognitive behavioural therapy for psychosis prevention: a systematic review and meta-analysis

mixed model repeated measures imputation method

months 0.47, 95% confidence interval CI 0.27-0.82, p=0.008

Depression is related to an absence of optimistically biased belief updating about future life events

mean fisher transformed pearson correlation coefficient
zero updates estimation errors pearson correlation coefficient

Drug-specific laterality effects on frontal lobe activation of atomoxetine and methylphenidate in attention deficit hyperactivity disorder boys during working memory

3 times 3 factorial design repeated measures anova

resolution=3 mm, slice thickness=3.5 mm, slice skip=0.5

Examination of the predictive value of structural magnetic resonance scans in bipolar disorder: a pattern classification approach