Publications by Danilo
Argentina dataset
1. Demographics Variable Description ID: Unique identifier for the participant. ID_genetics: Genetic identifier related to the participant’s sample or genetic profile. cognitive: Assessment or overall score of cognitive function. de800cog: Result obtained from a specific cognitive test (e.g., DE800 version). images: Indicates the availability or ...
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Obesidade Marcio
# Importar o banco de dados library(readxl) data <- read_excel("Downloads/obesity_marcio.xlsx", sheet = "Data") # Carregando bibliotecas necessárias library(tidyverse) # Já inclui ggplot2 library(naniar) # Para análise de dados ausentes library(corrplot) # Para matrizes de correlação library(lme4) # Para modelos mistos library(fa...
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Stefanos NMA
# Load Required Packages for NMA packages <- c("metafor", "dplyr", "tidyr", "ggplot2", "readxl", "netmeta", "igraph", "gridExtra", "knitr", "kableExtra") for(pkg in packages) { if(!require(pkg, character.only = TRUE)) { install.packages(pkg) library(pkg, character.only = TRUE) } } # Load Required Packages for NMA packages...
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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"...
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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...
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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...
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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...
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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...
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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 �...
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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...
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