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causal-inference-in-R
Causal Inference in R: A book!
https://www.r-causal.org/
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16.03: The Natural Course (?)
#97
malcolmbarrett
opened
1 year ago
0
16.02: Calculating estimates with G-Computation
#96
malcolmbarrett
opened
1 year ago
1
16.01: The Parametric G-Formula
#95
malcolmbarrett
opened
1 year ago
2
15.03: Combining MICE and IPW
#94
malcolmbarrett
opened
1 year ago
0
15.02: Multiple Imputation
#93
malcolmbarrett
opened
1 year ago
0
15.01: Missingness as structural bias
#92
malcolmbarrett
opened
1 year ago
0
14.03: Fitting the outcome model again
#91
malcolmbarrett
opened
1 year ago
0
14.02: Diagnostics with many categories
#90
malcolmbarrett
opened
1 year ago
0
14.01: Calculating propensity scores for categorical exposures
#89
malcolmbarrett
opened
1 year ago
1
13.03: Fitting the outcome model for continuous exposures
#88
malcolmbarrett
opened
1 year ago
0
13.02: Diagnostics and stabilization
#87
malcolmbarrett
opened
1 year ago
0
13.01: Calculating propensity scores for continuous exposures
#86
malcolmbarrett
closed
1 year ago
0
12.03: Estimating uncertainty
#85
malcolmbarrett
opened
1 year ago
0
12.02: Using weights in outcome models
#84
malcolmbarrett
opened
1 year ago
0
12.01: Using matched data sets
#83
malcolmbarrett
opened
1 year ago
0
11.02: Visualizing balance via Love Plots, boxplots, and eCDF plots
#82
malcolmbarrett
opened
1 year ago
0
11.02: Weighted / Matched Table 1
#81
malcolmbarrett
closed
1 year ago
1
11.01: Calculating the standardized mean difference
#80
malcolmbarrett
opened
1 year ago
0
10.02: Estimating treatment effects with other targets in mind
#79
malcolmbarrett
closed
1 year ago
0
10.01: Estimating the average treatment effect
#78
malcolmbarrett
closed
1 year ago
0
10.03: Choosing estimands
#77
malcolmbarrett
closed
1 year ago
1
09.02: Weighting
#76
malcolmbarrett
opened
1 year ago
0
09.01: Matching
#75
malcolmbarrett
opened
1 year ago
0
08.02: Choosing variables to include
#74
malcolmbarrett
closed
1 year ago
0
08.01: Building propensity score models for binary exposures
#73
malcolmbarrett
closed
1 year ago
0
07.05: Presenting descriptive statistics
#72
malcolmbarrett
opened
1 year ago
0
07.04: Exploring and visualizing data and assumptions
#71
malcolmbarrett
opened
1 year ago
0
07.03: Working with multiple data sources
#70
malcolmbarrett
opened
1 year ago
0
07.02: Recognizing missing data
#69
malcolmbarrett
opened
1 year ago
0
07.01: Data wrangling and recipes
#68
malcolmbarrett
opened
1 year ago
1
06.01: An introduction to touringplans
#67
malcolmbarrett
opened
1 year ago
0
05.01: Causal Inference with `group_by()` and `summarize()`
#66
malcolmbarrett
opened
1 year ago
0
01.03: When do standard methods fail/succeed?
#65
malcolmbarrett
closed
11 months ago
1
04.02: Target Trials
#64
malcolmbarrett
opened
1 year ago
2
04.01: What is a counterfactual?
#63
malcolmbarrett
closed
11 months ago
0
03.03: Common Structures of Bias
#62
malcolmbarrett
closed
8 months ago
0
03.02: DAGs in R: ggdag and dagitty
#61
malcolmbarrett
closed
8 months ago
0
03.01: Visualizing Causal Assumptions
#60
malcolmbarrett
closed
8 months ago
0
02.01 Whole game 1 (Net Data)
#59
malcolmbarrett
closed
1 year ago
0
01.02: Causal assumptions
#58
malcolmbarrett
opened
1 year ago
3
01.01: Description, prediction, and explanation
#57
malcolmbarrett
closed
10 months ago
1
Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms
#56
malcolmbarrett
opened
1 year ago
5
Visualization tool of variable selection in bias–variance tradeoff for inverse probability weights
#55
malcolmbarrett
opened
1 year ago
0
E-Value and Bias Factor
#54
malcolmbarrett
opened
1 year ago
0
Causal and Associational Language in Observational Health Research: A Systematic Evaluation
#53
malcolmbarrett
closed
8 months ago
0
Chapter summary code
#52
malcolmbarrett
opened
1 year ago
0
Idea: Data Chapter
#51
malcolmbarrett
closed
1 year ago
2
Diagnostics for g-computation
#50
malcolmbarrett
opened
1 year ago
1
DAGs for missing data
#49
malcolmbarrett
opened
1 year ago
0
Negative controls
#48
malcolmbarrett
opened
1 year ago
0
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