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

Get the data

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

Or load it directly in R or Python:

# 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 versionv439
Redivis datasetirw_simsyn v1.2
Redivis dataset DOI10.57761/t5s5-a326
Manifest pin for this IRW versionv1.1
Metadata sourceirw_meta v27.0