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Elkip
User for 3 years
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Advanced Machine Learning
Recall that in an ordinary multiple linear regression, we have a set of p predictor variables mea...
Forecasting with Geospacial Data
Geo-statistics is a subfield of statistics focused on spatial or spatiotemporal datasets, AKA dat...
Sampling
In the practical use of statistics, we don't have an infinite amount of data. An enormous amount ...
Heterogeneous Graph Learning
Knowledge graphs are visualization of information with multi-type relations (edges) among some mu...
Propensity Score Weighting Analysis
Unlike randomized clinical trials, observational studies must adjust for differences such as conf...
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Advanced Topics
Post-grad notes on new research techniques
Scala + Spark
Introduction to Scala + Spark for Programmers, based on the course from Sundog Education: https:...
Generalized Linear Models
BS853: Analysis of the quantitative and quantitative data types often found in health science res...
Bayesian Modeling in Biomedical Research
BS849: Statistical methods that assign probabilities or distributions to events or parameters bas...
Applied Statistics in Clinical Trials
BS851: Statistical research design considerations, including randomization and sample size deter...