Welcome to the 'Casual causality UConn lab'!
For the ‘Applied structural equation modeling’ syllabus, go to Tinyurl.com/S26SEM  
For the ‘Geospatial health: causal analytical methods’, syllabus go to Tinyurl.com/GEOCAUSAL2  
We provide insights on causality inquiries following this plan:
(1). Causality definitions and notations
(2). Research and basic statistical analyses
(3). Tools to evaluate causality
(4). Types of errors and their effects
(5). Causality challenges in aging research
(6). Causality in disparities spatial analytics
(7). Opportunities and loose ends
We are showcasing existing research, as well as innovative course content from the UConn community.
We illustrate some methodological and technical solutions for common research efforts that tackle cause-effect questions.
If you see the need for corrections, contact me at coman@uchc.edu ; this is me. 
I draw my statistical knowledge from many mentors, chief among them Dave Kenny and Judea Pearl (from a distance).