BioSciEconomist

# *-----------------------------------------------------------------
# | PROGRAM NAME: ex microsynth
# | DATE: 4/7/19 
# | CREATED BY: MATT BOGARD 
# | PROJECT FILE: /Google Drive/R Training         
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# | PURPOSE: work through of code snippets and excerpts for synthetic controls for 
# | micro level data from: https://cran.r-project.org/web/packages/microsynth/vignettes/introduction.html
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BioSciEconomist

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# | PROGRAM NAME: ex LATE and IV.R
# | DATE: 4/18/19 
# | CREATED BY: MATT BOGARD 
# | PROJECT FILE: /Google Drive/R Training         
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# | PURPOSE: demonstrate how an IV captures the treatment effect of the compliers, or LATE
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# see companion blog post: https://econometricsense.blogspot.com/2019/04/intent-to-treat-instrumental-variables.html

BioSciEconomist

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# | PROGRAM NAME: ex toy synthetic controls.R
# | DATE: 4/23/19 
# | CREATED BY: MATT BOGARD 
# | PROJECT FILE: Macintosh HD ▸ ⁨Users⁩ ▸ ⁨amandabogard⁩ ▸ ⁨Google Dive⁩ ▸ ⁨R Training⁩           
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# | PURPOSE: intuition for how sytnthetic control methods work
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library(Synth) # load Synth package

BioSciEconomist

#  ------------------------------------------------------------------
#  |PROGRAM NAME: power sim means.R
#  |DATE: 4/29/18
#  |CREATED BY: MATT BOGARD 
#  |PROJECT FILE:   
#  |----------------------------------------------------------------
#  | PURPOSE: compare simulated power analysis for difference in means from egap.org
#  | to results from the 'pwr' function in R
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BioSciEconomist

#  ------------------------------------------------------------------
#  |PROGRAM NAME: power sim logit.R
#  |DATE: 4/29/18
#  |CREATED BY: MATT BOGARD 
#  |PROJECT FILE: /Users/amandabogard/Google Drive/R Training
#  |----------------------------------------------------------------
#  | PURPOSE: compare modified simulated power analysis for difference in proportions from egap.org
#  | to results from the 'pwr' function in R
#  |----------------------------------------------------------------

BioSciEconomist

#  ------------------------------------------------------------------
#  |PROGRAM NAME: simulate poisson.R
#  |DATE: 4/29/18
#  |CREATED BY: MATT BOGARD 
#  |PROJECT FILE: /Users/amandabogard/Google Drive/R Training
#  |----------------------------------------------------------------
#  | PURPOSE: simulate data for poisson regression
#  |----------------------------------------------------------------

# this can be modified to generate data for any glm model

BioSciEconomist

#  ------------------------------------------------------------------
#  |PROGRAM NAME: power sim poisson.R
#  |DATE: 4/29/18
#  |CREATED BY: MATT BOGARD 
#  |PROJECT FILE: /Users/amandabogard/Google Drive/R Training
#  |----------------------------------------------------------------
#  | PURPOSE: simulated power analysis for difference in counts modifed code originally from  egap.org
#  |----------------------------------------------------------------

# reference: http://egap.org/content/power-analysis-simulations-r 

BioSciEconomist

#  ------------------------------------------------------------------
#  |PROGRAM NAME: simulate negbin.R
#  |DATE: 4/29/18
#  |CREATED BY: MATT BOGARD 
#  |PROJECT FILE: /Users/amandabogard/Google Drive/R Training
#  |----------------------------------------------------------------
#  | PURPOSE: example:simulate data for negative binomial count model
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BioSciEconomist

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# see: http://econometricsense.blogspot.com/2019/01/modeling-claims-with-linear-vs-non.html?_sm_au_=iVV3RHk1r75TjsfM

# this is also the approach taken in Jonk: Yvonne Jonk, Karen Lawson, Heidi O'Connor, Kirsten S. Riise, David 
# Eisenberg, Bryan Dowd, Mary J. KreitzerMed Care. 2015 Feb; 53(2): 133–140. doi: 10.1097/MLR.0000000000000287

BioSciEconomist

# *-----------------------------------------------------------------
# | PROGRAM NAME: randomization inference demo.R
# | DATE: 10/14/19 
# | CREATED BY: MATT BOGARD 
# | PROJECT FILE:         
# *----------------------------------------------------------------
# | PURPOSE: demo of randomization inference based on 'Field Experimetns: Design, Analysis, and Interpretation
# | by Alan S. Gerber and Donald P. Green (Ch3)
# *----------------------------------------------------------------