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     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.