- Comparison of symptom screening and home tests
Read►
- Non respiratory symptoms of COVID-19
Read►
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Symptom clusters for COVID-19 Read►
-
Pairwise comparison of order of variables
Assignment
For this assignment you can use any statistical software.
Question 1: Classify COVID-19 based on its
symptoms.
- Describe the order of occurrence of the symptoms
- Create a Causal Network for clusters of symptoms of COVID-19
- Create the structure of the network:
- Using LASSO, regress the PCR test results on all variables
and cluster of variables that precede it
- Using LASSO, regress each symptom on its preceding
symptoms.
- In these regressions, statistically significant variables are parents in the
Markov blanket of the regression response variable. Draw
the network using Netica.
- Estimate the parameters of the network
- Using the LASSO regression, calculate the predicted value
for all combinations of the parents in the Markov blanket of
the regression's response variable.
- Describe which cluster of symptoms rule out COVID-19
- Describe which cluster of symptoms increase risk of COVID-19
The following resources may be helpful:
- Labeled training corpus
Data►
- Python (not available at this time)
- Code for pairwise comparison of symptoms
More
For additional information (not part of the required reading), please see the following links:
- No-lab diagnosis of COVID-19 Read►
This page is part of the course on Comparative Effectiveness by Farrokh Alemi, Ph.D.
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