Publications by Danilo
Stefanos Subgroup
Introduction This document presents a comprehensive meta-analysis of neuromodulation techniques in schizophrenia, examining their effects on symptoms and cognitive functions across different intervention parameters. Setting Up the Environment First, we load the required packages for our analysis: # Loading Required Packages packages <- c("metafor"...
9147 sym Python (157736 sym/57 pcs) 20 img 1 tbl
Stefanos Analysis
1. Data Preparation 1.1. rTMS for Negative Symptoms # Simulated dataset for rTMS studies on negative symptoms rTMS_neg_symptoms <- data.frame( study = c("Wobrock et al 2015", "Prikryl et al 2014", "Zhao et al 2014", "Dlabac-de Lange et al 2015", "Fitzgerald et al 2008", "Barr et al 2013", "Shi et al 2014", "Zhuo et al 2...
2141 sym Python (24834 sym/45 pcs) 7 img
Stefanos Efficacy
Neuromodulation Meta-Analysis in Schizophrenia: Efficacy Analysis 1. Loading Required Packages # Install packages if not already installed packages <- c("metafor", "dplyr", "tidyr", "ggplot2", "readxl", "knitr", "kableExtra", "RColorBrewer") for(pkg in packages) { if(!require(pkg, character.only = TRUE)) { install.packages(pkg) library(p...
473 sym R (31522 sym/39 pcs) 25 img 1 tbl
Meta Graphs
1. Load Required Packages 2. Data Set 1: GSHt Blood and Cognitive Measures 2.1 Create Meta-Analysis Objects # Panel A: "GSHt Blood and Global Cognitive Score" dat1A <- data.frame( author = c("Nucifora et al. 2017", "Coughlin et al. 2021", "Gares-Caballer et al. 2022"), r = c(0.245, 0.57, 0.34), n = c(51, 24, 30) ) meta1A <- metacor(r, n, da...
1853 sym 16 img
ODMACS
Overview This document presents the analysis of the ODMACS database including: - Data loading and preprocessing - Thematic subsetting of variables - WHODAS items analysis with IRT using mirt - Distribution of WHODAS items (frequency tables and stacked bar charts) - Likert analysis of comparison items All code is folded by default. Click the arrow a...
3153 sym Python (18464 sym/17 pcs) 7 img
Meta-analysis Data Stefanos Kontogouris
R Markdown # load tidyverse (which loads dplyr, tibble, tidyr, etc.) library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.1 �...
19 sym R (53951 sym/3 pcs)
Gamze et al._Meta Analysis
Abstract Glutathione (GSH) is the principal antioxidant safeguarding neural tissue from oxidative damage. Schizophrenia spectrum disorders (SSDs) are characterized not only by positive symptoms but also by persistent negative symptoms and cognitive deficits that are closely tied to functional outcomes. Although both brain imaging studies (using mag...
10930 sym R (96195 sym/34 pcs) 10 img
Ballesteros update
title: "Approximate Ballesteros (2013) Correlation & Adding to GSHt Blood vs. Total Symptoms Meta-Analysis" author: "Danilo Assis Pereira, Ph.D." date: "2025-01-31" output: html_document 1) Converting Ballesteros’s F(2,26)=0.30 to an Approximate r From Ballesteros et al. (2013), we only have: A joint model with GSH and GSSG predicting BPRS tot...
4063 sym R (3503 sym/21 pcs)
Ballesteros meta
Gizem wrote: “We have 1 study having correlation data between GSH and Total symptom and functioning, but the study did not indicate their r values, which we are using r values to do meta-analysis. They gave t and F values with p value. I am wondering if you can convert these F and t values into r values to be used into our meta-analysis.” Below...
3881 sym R (2668 sym/15 pcs) 1 img 1 tbl
Network Meta-Analysis of Glutathione Measurements in Schizophrenia Spectrum Disorders
--- title: "Network Meta-Analysis of Glutathione Measurements in Schizophrenia Spectrum Disorders" author: "Danilo Assis Pereira, Ph.D." date: "December 23, 2024" output: html_document: toc: true toc_depth: 3 code_folding: "show" --- Network Meta-Analysis of Glutathione Measurements R Code for Positive Symptom Network # Load requir...
1795 sym R (12392 sym/13 pcs) 2 img