gilbert_meta_3

90,338 simulated responses from 5,314 respondents to 17 items.

Simulated data. These responses were generated by a script, not collected from people; see the generating script.

About this table

Descriptiondepression indicators
ReferenceGilbert, J. B., Hieronymus, F., Eriksson, E., & Domingue, B. W. (2024). Item-level heterogeneous treatment effects of selective serotonin reuptake inhibitors (SSRIs) on depression: Implications for inference, generalizability, and identification. Epidemiologic Methods, 13(s2), 20240006.
DOI10.1515/em-2024-0006
LicenceCC BY 4.0
Generating scripthttps://researchbox.org/2494

Size and shape

Responses90,338
Respondents5,314
Items17
Response categories2
Responses per respondent17
Responses per item5,314
Density1

Columns

iditemrespstd_baselinetreat

id, item, resp, std_baseline, treat are defined in the IRW data standard and mean the same in every table. The other columns are set by the generating script.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_3", source = "sim")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_3", source="sim")

How to cite

@article{Gilbert_2024, title={Item-level heterogeneous treatment effects of selective serotonin reuptake inhibitors (SSRIs) on depression: implications for inference, generalizability, and identification}, volume={13}, ISSN={2161-962X}, url={http://dx.doi.org/10.1515/em-2024-0006}, DOI={10.1515/em-2024-0006}, number={s2}, journal={Epidemiologic Methods}, publisher={Walter de Gruyter GmbH}, author={Gilbert, Joshua B. and Hieronymus, Fredrik and Eriksson, Elias and Domingue, Benjamin W.}, year={2024}, month=jan }

Version and provenance

IRW versionv557
Redivis datasetirw_simsyn v1.4
Redivis dataset DOI10.57761/d90d-aa22
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v40.0