📊 Tools to Perform ‘Misinformation’ Analysis on a Text Corpus (wrapper for methods in https://github.com/PDXBek/Misinformation)

Basic sensitivity analysis of epidemiological results in R

An R package for non-stationary meteorological drought monitoring

Bird Point Count Simulator

Adjust naive estimates of learning for guessing

Sampling Strategies to Control Misclassification Bias in Longitudinal Udder Health Studies

Simulated data for different selection bias structures

Scripts for estimating historic trends in GLOF occurrences and potential biases in reporting

Built a logistic regression model and a classification tree model for predicting the final status of a loan based on various variables available. Confusion matrix and misclassification rate for each model for a test dataset. Variables that appear to be important for predicting outcome. Plotted and described the ROC curves and AUC for the four mo…

Properties of estimators using the Univariate Normal model

Supplementary materials for the following publication: Davydenko, A., & Goodwin, P. (2021). Assessing point forecast bias across multiple time series: Measures and visual tools. International Journal of Statistics and Probability, 10(5), 46-69. https://doi.org/10.5539/ijsp.v10n5p46

Interactive web app for episensr

A compendium of the pitfalls and problems that arise when using standard statistical methods

The association of demographic factors with negative descriptors in medical text

This is a repository with codebase and results of the publication: "Characterization of Bias During Meteorological Drought Calculation in Time Series Out-of-Sample Validation"

The AssayCorrector eliminates spatial bias in HTS assays using PMP methods.

Shiny app for episensr

Plotting effect of bias, from Copeland et al., 1977 and Flegal et al., 1986 papers

❗ This is a modified version of the CRAN R package repository. bife — Binary Choice Models with Fixed Effects

A simulation study looking at which combinations of missing data handling methods across a prediction model's pipeline are compatible, and which ones lead to bias.