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@ -5,3 +5,64 @@
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Need to decide whether or not to include this set of sentences.
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**** [2025-01-18 Sat 11:58] [[[[file:/home/will/research/phd_deliverables/JobMarketPaper/Paper/sections/11_intro_and_lit.tex::45]]]]
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decide whether to include these details here
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** 2025-W17
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*** 2025-04-21 Monday
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**** [2025-04-21 Mon 11:17] Plan based on last weeks thinking things through
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get list of things that Tom says I'm Missing
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- Needs more citations
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- Standard econometric concerns: Endogenetiy, Simultineatiy, etc.
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- Needs to justify why I am doing what I am doing. What do I add?
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Marketwide attempt to measure the impact of enrollment, an operational concern.
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-
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Integrate additional literature I've worked with.
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- How big of a concern is operational results (about 22% of failures)
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- Topics of how to address issues and what issues arise are common (give a couple of examples)
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- Efforts to reduce failures include better pharmokinetics, attempts at improving enrollment, better enrollment prediction (huge lit).
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Then look at my outline:
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- How can I adjust it to address those missing bits?
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- How can I simplify the structure?
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Maybe a discussion of concerns about simultineity/endogeneity/other confounds/etc is where I
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bring up the confounding parameters and then build a list of how things interact.
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I then use this to flesh out the DAG, and introduce the backdoor criterion.
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I think I'll put this together as a bullet point draft, using the * and -
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notation for paragraphs and sentences respectively. Try to get the main points
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of each sentence/paragraph out.
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***** List of issues identified by Tom:
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Reference style (Author year)
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Reference better and more often.
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Introduction needs to motivate the problem & what I am trying to do. (could use the sources I have on reasons for failures)
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Various issues with tense etc. Use Claude.ai as editor for those.
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Reorder sections or outline better
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Causal inference vs DAG approach
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- standard concens in causal inference
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- DAG isn't causal inference in Toms view. He is right, DAG isn't but backdoor criterion is.
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- Will need to discuss standard concerns and how they may be related and then incorporate that into the DAG
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- Then will need to discuss backdoor criterion, the backdoor paths that exist, and choosing adjustment sets
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- Replace bullet points with paragraphs (page 12) maybe use claude to convert that?
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- Page 18 comment: Refer to Robins What IF book to get citation
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Thoughts:
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Chapter 10: Lists 3 sources of bias in preceeding chapters (7,8,9)
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- Selection
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- Measurement
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- Confounders
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As I understand it, setting up the graph allows you to note where you
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might have issues with all 3. Do-calc gives you the adjustment set to
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handle confounding and selection, while measurement is handled either
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through modelling uncertanty or improving you measurement approach.
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***** Reading to complete before rewriting:
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I think I should start by rereading (and taking notes on) What If and
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the Causal Mixtape.
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