## HAP 819: Advanced Statistics II## Lecture: Stratified Covariate Balancing
## Assigned Reading- Session overview YouTube►
- Description of Stratified Covariate Balancing method
- Overlap calculations Slides► YouTube► Video►
- Code for covariate balancing: SQL► YouTube►
- Stratified Covariate balancing R Code► R Package► Slides►
- Stratified Covariate Balancing from Debapriya Video► STATA►
- Repeated use of covariate balancing SQL►
- Stratified covariate balancing in high dimensional data Read►
- Lee's improving overlap through folding back Slides► SQL►
## AssignmentsSubmit assignments in Blackboard. Include in the first page a summary page. In the summary page write statements comparing your work to answers given or videos. For example, "I got the same answers as the Teach One video for question 1."
- Use LASSO Logistic regression to describe differences in comorbidities of patients seen by Dr. Smith and his peer group.
- Balance the data through stratified covariate balancing so that Dr. Smith and his peer group see the same types of patients.
- Graphically show that the weighting procedure of stratified covariate balancing results in similar patients treated by Dr. Smith and his peer.
- Report the un-confounded impact of Dr. Smith on length of stay using the common odds ratio of having above average length of stay. Report the impact of Dr. Smith on length of stay using the weighted length of stay.
Resources for Question 1: - Data Download►
- Calculation of common odds ratio SQL►
- Calculation of weighted length of stay SQL►
- Vladimir Cardenas's Answer► R-code►(password protected)
- Aziz Adosary's Teach One YouTube►
- Using LASSO regression identify covariates that are most likely to affect survival of patients with stomach cancer.
- Using SQL, group the data into commonly occurring strata. Within each strata, calculate the odds of mortality for stomach cancer.
- Calculate the common odds ratio across strata. Report how the un-confounded and confounded odds of mortality from stomach cancer are different from each other.
- Conduct sensitivity analysis for the calculated common odds ratio. Sensitivity analysis is the process of changing one variable and re-examining the conclusions. Drop one of the comorbidities from the analysis and repeat the entire analysis.
Resources for Question 2:
- For 3 antidepressants, balance the data using SQL and stratified covariate balancing.
- If necessary use parents in Markov Blanket of the medication to improve overlap beyound 80%.
- Describe which of the 3 medications should a patient who has PTSD and neurological disorders take.
Resources for Question 3: - Data (use instructor's last name as password) Download►
- Study protocol Journal Article►
- Clean the data SQL►
- Predicting optimal antidepressant SQL►
Resources for Question 4: - Data Download►
- Polly's Teach One YouTube►
- R Package for Covariate Balancing R-Code►
- Zabowski's Answer►
## MoreFor additional information (not part of the required reading), please see the following links: - Collapsing strata Read►
This page is part of the course on Advanced Statistics II by Farrokh Alemi, Ph.D. Home► Email► |