ratio OR=12.1 [95% confidence interval {CI}=3.6-40.4

Psychotic symptoms in first-episode and drug naïve patients with major depressive disorder: Prevalence and related clinical factors

Pharmacological and behavioral treatment for trichotillomania: An updated systematic review with meta-analysis

comorbid depression symptoms meta analysis

Acute effects of cannabinoids on symptoms of obsessive-compulsive disorder: A human laboratory study

Internet addiction among college students in a Chinese population: Prevalence, correlates, and its relationship with suicide attempts

complete inconformity=1 comparatively inconformity=2 comparatively conformity=3

Novel pharmacological treatments for generalized anxiety disorder: Pediatric considerations

COVID stress syndrome: Concept, structure, and correlates

development editor of clinical psychology review
development of technology assisted method

A health care workers mental health crisis line in the age of COVID-19

1.71; 95% confidence interval CI=1.28-2.29

neurophysiological and self-report measures of reward

b l e 2 hierarchical binary logistic regression

The acceptability of real-time health monitoring among community participants with depression: A systematic review and meta-analysis of the literature

d (2 oo .l lew te i 4 e lca)1 il ch n fo ch e ra ;) an=ican tnu n=1 rseo)1

Randomized, controlled, participant- and rater-blind trial of pharmacogenomic test-guided treatment versus treatment as usual for major depressive disorder

may impact efficacy of pharmacogenetic test
individual aspects of pharmacogenomic test

Cross-lagged analyses of the bidirectional relationship between depression and markers of chronic heart failure

structural cross lagged regression estimators
autoregression bd cross lag gammad nt probnp autoregression

effect gammah=0.103, 95% confidence interval CI [0.017; 0.194]
Chains" init1=list(bet=rep(0.5,2), lam=rep(0,2), psi=rep(1,4), psd=matrix(c(1, 0, 0, 1), nrow=2), phi=matrix(c(1, 0, 0, 1), nrow=2) init2=list(bet=rep(1.5,2), lam=rep(0.2,2), psi=rep(2,4), psd=matrix(c (2, 0, 0, 2), nrow=2), phi=matrix(c(2, 0, 0, 2), nrow=2) inits=list(init1, init2) R=matrix(c(1.0, 0, 0, 1.0), nrow=2) #read data "d1
NYHA f11<length(which(d1nyha.1==1)/length(d1nyha.1) f12<length(which(d1nyha.1==2)/length(d1nyha.1)+f11 f13<length(which(d1nyha.1==3)/length(d1nyha.1)+f12 f21<length(which(d1nyha.2==1)/length(d1nyha.2) f22<length(which(d1nyha.2==2)/length(d1nyha.2)+f21 f23<length(which(d1nyha.2==3)/length(d1nyha.2)+f22 f31<length(which(d1nyha.3==1)/length(d1nyha.3) f32<length(which(d1nyha.3==2)/length(d1nyha.3)+f31 f33<length(which(d1nyha.3==3)/length(d1nyha.3)+f32
first 4000 discarded, n.thin=4 n.sims=3000