A project utilizing NLP techniques and analysis including text mining, document term matrices, sentiment analysis, wordclouds and topic modeling with LDA.

Special repository hosting the InPhyT website.

The process of developing a fantasy football metric to quantify player value cross-positionally.

A repository for Spring 2025 BMI 6106: Statistics and Probability. This repository contains coursework, code examples, and projects exploring statistical methods and probabilistic models in biomedical informatics.

This repository contains an analysis of meteorological data from Buoy 44013 (1985-2023) and rainfall data for Boston (1985-2013). The project explores relationships between rainfall and buoy readings such as water temperature (WTMP), air temperature (ATMP), and barometric pressure (BAR).

This repository contains the R code and associated data for the scientific article: "Numerical stability enhancements in beta autoregressive moving average model estimation" by Cribari-Neto, F., Costa, E., and Fonseca, R. V. Submitted to the Brazilian Journal of Probability and Statistics.

This repository contains the R code and associated data for the scientific article: "Test inferences and link function selection in dynamic beta modeling of seasonal hydro-environmental time series with temporary abnormal regimes" by Costa, E., Cribari-Neto, F., and Scher, V. T. Published in the Journal of Hydrology, Volume 638, 2024, 131489.

Forecasting TfL passenger footfall using Time-Series analysis in R with the Prophet package. A university project awarded a 95% grade.

Analysis of 2023 BRFSS data exploring the relationship between insurance status, flu shot uptake, and preventive care access. Includes data cleaning, EDA, logistic regression, and visualizations using R (tidyverse, caret, broom). Data from CDC BRFSS 2023.

Collection of project scripts and reports from statistics & data science projects during Creighton University undergraduate studies.

This project analyzes a randomized phase III clinical trial evaluating the efficacy and safety of panitumumab combined with FOLFOX4 chemotherapy as a first-line treatment for metastatic colorectal cancer (mCRC). It includes survival analysis, adverse event assessment, and statistical modeling based on patient KRAS status.