* 2025
** 2025-W03
*** 2025-01-18 Saturday
**** [2025-01-18 Sat 11:54] [[[[file:/home/will/research/phd_deliverables/JobMarketPaper/Paper/sections/11_intro_and_lit.tex::45]]]] 
    Need to decide whether or not to include this set of sentences.
**** [2025-01-18 Sat 11:58] [[[[file:/home/will/research/phd_deliverables/JobMarketPaper/Paper/sections/11_intro_and_lit.tex::45]]]] 
    decide whether to include these details here
** 2025-W17
*** 2025-04-21 Monday
**** [2025-04-21 Mon 11:17] Plan based on last weeks thinking things through
   
   get list of things that Tom says I'm Missing
   
   - Needs more citations
   - Standard econometric concerns: Endogenetiy, Simultineatiy, etc.
   - Needs to justify why I am doing what I am doing. What do I add? 
       Marketwide attempt to measure the impact of enrollment, an operational concern.
   - 
   
   Integrate additional literature I've worked with.
       - How big of a concern is operational results (about 22% of failures)
       - Topics of how to address issues and what issues arise are common (give a couple of examples)
       - Efforts to reduce failures include better pharmokinetics, attempts at improving enrollment, better enrollment prediction (huge lit).
   
   Then look at my outline:
   - How can I adjust it to address those missing bits?
   - How can I simplify the structure?
   
   Maybe a discussion of concerns about simultineity/endogeneity/other confounds/etc is where I 
   bring up the confounding parameters and then build a list of how things interact.
   I then use this to flesh out the DAG, and introduce the backdoor criterion.
   
   
   I think I'll put this together as a bullet point draft, using the * and - 
   notation for paragraphs and sentences respectively. Try to get the main points 
   of each sentence/paragraph out.
   
***** List of issues identified by Tom:

      Reference style (Author year)
      Reference better and more often.
      Introduction needs to motivate the problem & what I am trying to do. (could use the sources I have on reasons for failures)
      Various issues with tense etc. Use Claude.ai as editor for those.
      Reorder sections or outline better

      Causal inference vs DAG approach
      - standard concens in causal inference
      - DAG isn't causal inference in Toms view. He is right, DAG isn't but backdoor criterion is.
      - Will need to discuss standard concerns and how they may be related and then incorporate that into the DAG
      - Then will need to discuss backdoor criterion, the backdoor paths that exist, and choosing adjustment sets
      - Replace bullet points with paragraphs (page 12) maybe use claude to convert that?
      - Page 18 comment: Refer to Robins What IF book to get citation


      Thoughts: 
      Chapter 10: Lists 3 sources of bias in preceeding chapters (7,8,9)
      - Selection
      - Measurement
      - Confounders
      As I understand it, setting up the graph allows you to note where you 
      might have issues with all 3. Do-calc gives you the adjustment set to 
      handle confounding and selection, while measurement is handled either 
      through modelling uncertanty or improving you measurement approach.

***** Reading to complete before rewriting:

      I think I should start by rereading (and taking notes on) What If and 
      the Causal Mixtape.