BioSciEconomist
BioSciEconomist
/ simulate negbin.R
Last active
September 7, 2019 21:43
simulate data for negative binomial count regression
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| # ------------------------------------------------------------------ | |
| # |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 | |
| # |---------------------------------------------------------------- | |
BioSciEconomist
/ power sim poisson.R
Last active
May 1, 2019 00:02
simulated power analysis for difference in counts modifed code originally from egap.org
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| # ------------------------------------------------------------------ | |
| # |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
/ simulate poisson.R
Last active
April 30, 2019 23:01
simulate basic data for poisson regression
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| # ------------------------------------------------------------------ | |
| # |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
/ power sim logit.R
Created
April 30, 2019 00:23
simulated power analysis for difference in proportions
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| # ------------------------------------------------------------------ | |
| # |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
/ power sim means.R
Created
April 29, 2019 21:53
compare simulated power analysis for difference in means from egap.org to results from the 'pwr' function in R
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| # ------------------------------------------------------------------ | |
| # |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 | |
| # |---------------------------------------------------------------- |
BioSciEconomist
/ ex toy synthetic controls.R
Last active
October 6, 2021 17:24
Intuition for how synthetic control methods work
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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 | |
| # *---------------------------------------------------------------- | |
| # | PURPOSE: intuition for how sytnthetic control methods work | |
| # *---------------------------------------------------------------- | |
| library(Synth) # load Synth package |
BioSciEconomist
/ ex LATE and IV.R
Last active
April 19, 2019 12:37
Demonstrate how an IV captures the treatment effect of the compliers or LATE
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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 | |
| # *---------------------------------------------------------------- | |
| # | PURPOSE: demonstrate how an IV captures the treatment effect of the compliers, or LATE | |
| # *---------------------------------------------------------------- | |
| # see companion blog post: https://econometricsense.blogspot.com/2019/04/intent-to-treat-instrumental-variables.html |
BioSciEconomist
/ ex microsynth.R
Last active
April 23, 2019 23:41
Example code for synthetic controls using micro-level data
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| # *----------------------------------------------------------------- | |
| # | PROGRAM NAME: ex microsynth | |
| # | DATE: 4/7/19 | |
| # | CREATED BY: MATT BOGARD | |
| # | PROJECT FILE: /Google Drive/R Training | |
| # *---------------------------------------------------------------- | |
| # | 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 | |
| # *---------------------------------------------------------------- |
BioSciEconomist
/ ex synthetic controls.R
Last active
November 16, 2023 10:46
R code from An R Package for Synthetic Control Methods in Comparative Case Studies
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| # *----------------------------------------------------------------- | |
| # | PROGRAM NAME: ex synthetic controls.R | |
| # | DATE: 3/28/19 | |
| # | CREATED BY: MATT BOGARD | |
| # | PROJECT FILE: Macintosh HD ▸ Users ▸ amandabogard ▸ Google Dive ▸ R Training | |
| # *---------------------------------------------------------------- | |
| # | PURPOSE: code based on Synth: An R Package for Synthetic Control Methods in Comparative Case Studies | |
| # | Journal of Statistical Software June 2011, Volume 42, Issue 13 | |
| # *---------------------------------------------------------------- |
BioSciEconomist
/ MatchIt custom distance.R
Created
March 7, 2019 01:24
Example using Matchit with a custom propensity score metric
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| # *----------------------------------------------------------------- | |
| # | PROGRAM NAME: MatchIt custom distance.R | |
| # | DATE: 3/6/19 | |
| # | CREATED BY: MATT BOGARD | |
| # | PROJECT FILE: | |
| # *---------------------------------------------------------------- | |
| # | PURPOSE: demo of R matchit based on: Matching as Nonparametric Preprocessing for | |
| # | Reducing Model Dependence in Parametric Causal Inference by Ho,Imai,King,and Stuart | |
| # | Political Analysis (2007) 15:199-236 See also: http://www.biostat.jhsph.edu/~estuart/ | |
| # *---------------------------------------------------------------- |