Replication Data for: 'Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects'
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This replication package reproduces the results for the paper entitled 'Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects,' which is published in The Journal of the Royal Statistical Society: Series C (Applied Statistics), DOI: https://doi.org/10.1111/rssc.12439. This package contains 2 Stata Do-Files (.do) that produce the simulated dataset and run one replication of the simulation (the main paper runs 1,000 replications), and 2 Stata Data Files (.dta) that are used for the simulation in the main paper. (2020-02-29)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Data privacy","Measurement error","Monte Carlo simulation","Numerical integration"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This replication package reproduces the results for the paper entitled 'Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects,' which is published in The Journal of the Royal Statistical Society: Series C (Applied Statistics), DOI: https://doi.org/10.1111/rssc.12439. This package contains 2 Stata Do-Files (.do) that produce the simulated dataset and run one replication of the simulation (the main paper runs 1,000 replications), and 2 Stata Data Files (.dta) that are used for the simulation in the main paper. (2020-02-29)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This replication package reproduces the results for the paper entitled 'Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects,' which is published in The Journal of the Royal Statistical Society: Series C (Applied Statistics), DOI: https://doi.org/10.1111/rssc.12439. This package contains 2 Stata Do-Files (.do) that produce the simulated dataset and run one replication of the simulation (the main paper runs 1,000 replications), and 2 Stata Data Files (.dta) that are used for the simulation in the main paper. (2020-02-29)
Data privacy; Measurement error; Monte Carlo simulation; Numerical integration