psdata_bin_retrospective_fp: Retrospective Factual Sample Dataset for PSweight Analysis
In PSweight: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials
psdata_bin_retrospective_fp R Documentation
Retrospective Factual Sample Dataset for PSweight Analysis
Description
A simulated dataset representing the observed (factual) sample drawn from the retrospective
superpopulation. This dataset is obtained by selecting only those observations with
sample_indicator == 1, where the sampling probability is a function of both covariates and treatment.
Usage
data(psdata_bin_retrospective_fp)
Format
A data frame with the subset of rows from psdata_bin_retrospective_sp (e.g. 600 rows)
and the same 10 variables as psdata_bin_retrospective_sp.
Details
This dataset is derived from psdata_bin_retrospective_sp by retaining only
observations that were selected (i.e. those with sample_indicator == 1). It represents
the observed sample used for analysis under a retrospective design.
Examples
data(psdata_bin_retrospective_fp)
head(psdata_bin_retrospective_fp)
PSweight documentation built on April 3, 2025, 10:27 p.m.
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| psdata_bin_retrospective_fp | R Documentation |
Retrospective Factual Sample Dataset for PSweight Analysis
Description
A simulated dataset representing the observed (factual) sample drawn from the retrospective
superpopulation. This dataset is obtained by selecting only those observations with
sample_indicator == 1, where the sampling probability is a function of both covariates and treatment.
Usage
data(psdata_bin_retrospective_fp)
Format
A data frame with the subset of rows from psdata_bin_retrospective_sp (e.g. 600 rows)
and the same 10 variables as psdata_bin_retrospective_sp.
Details
This dataset is derived from psdata_bin_retrospective_sp by retaining only
observations that were selected (i.e. those with sample_indicator == 1). It represents
the observed sample used for analysis under a retrospective design.
Examples
data(psdata_bin_retrospective_fp)
head(psdata_bin_retrospective_fp)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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