The goal was to assign QUALIS grades to journals in the PubMed dataset based on ISSN matches and, where no direct match was found, using fuzzy matching techniques on journal titles. The report details the step-by-step process, including merging, text normalization, fuzzy matching using the Jaro-Winkler method, and handling unmatched rows.

This document describes the process of extracting and tidying QUALIS grade data for scientific journals from a PDF file. It includes loading libraries, defining regular expressions, cleaning the text, and extracting structured data using R. This tidy data can be merged with external sources for further analysis. The PDF used in this project is publicly available, and the methodology is fully reproducible.

Is it necessary to transform a non-normal variable for inclusion in a linear regression model?

Avaliação do número de pacientes atendidos e número de HBA1c medidas no período intermediário do projeto CHARMING

PPCR Assignment 15 in-depth analysis

A short analysis of the results of the admissions process of the master's in infectious diseases and tropical medicine in the Federal University of Minas Gerais

Practicing meta-analysis in R

Makes it simpler to obtain the t-statistic from p-values of two-sided t-tests. Useful for systematic reviews and meta-analysis

A work in progress analysis of the ELSI dataset

Bouncing ideas off of my colleagues in PPCR

A study of the CAMP teaching dataset.

An analysis conducted with the educational version of the CAMP data set as an extra activity encouraged by my TA, Carla Mori, in the PPCR course.

Created in R markdown

A post for PPCR week 12

I hope it's useful!

Analysis of the Storm Data dataset from the NOAA.