metaSEM package
{shinymice} is an R package for interactive evaluation of incomplete data by Hanne Oberman, guided by Gerko Vink and Stef van Buuren.
Tutorials illustrating the use of baseline information to conduct more efficient randomized trials
Comparison of clustering methods for determining the operational states of a wastewater treatment plant (BSc project in Statistics) 🔧 🚰 🔄 ♻️ 💦
R package for economic experts panel survey data
Apply unsupervised learning techniques to identify customers segments.
MSc thesis 'Missing the Point: Non-Convergence in Iterative Imputation Algorithms' by Hanne Oberman
Strategizing to maximize Customer Retention in Telecom Company
R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study
Materials for the 4 Questions discussed on February 16th, 2017
FIMUS imputes numerical and categorical missing values by using a data set’s existing patterns including co-appearances of attribute values, correlations among the attributes and similarity of values belonging to an attribute.
Using visualization to put to the test some intuitive insights between energy consumption and human development.
This is the repository of The Glasgow Geographic Data Science Centre (GGDS) Website
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