Retrieve and Analyze Clinical Trials in Public Registers
jsonlite, httr, curl, clipr, xml2, rvest, nodbi (>= 0.3)
Provides functions for querying, retrieving and analysing
protocol- and results-related information on clinical trials from
two public registers, the European Union Clinical Trials Register
(EUCTR, <https://www.clinicaltrialsregister.eu/>) and
ClinicalTrials.gov (CTGOV, <https://clinicaltrials.gov/>). The
information is transformed and then stored in a database (nodbi).
Functions are provided for accessing and analysing the locally
stored information on the clinical trials, as well as for
identifying duplicate records. The package is motivated by the need
for aggregating and trend-analysing the design, conduct and outcomes
across clinical trials.
devtools, knitr, rmarkdown, RSQLite (>= 2.1.2), mongolite,
tinytest, R.rsp
person(given = "Ralf", family = "Herold", role = c("aut", "cre"),
email = "ralf.herold@mailbox.org", comment = c(ORCID =
"0000-0002-8148-6748"))

Provides functions for querying, retrieving and analysing
protocol- and results-related information on clinical trials from
two public registers, the European Union Clinical Trials Register
(EUCTR, <https://www.clinicaltrialsregister.eu/>) and
ClinicalTrials.gov (CTGOV, <https://clinicaltrials.gov/>). The
information is transformed and then stored in a database (mongo).
Functions are provided for accessing and analysing the locally
stored information on the clinical trials, as well as for
identifying duplicate records. The package is motivated by the need
for aggregating and trend-analysing the design, conduct and outcomes
across clinical trials.

jsonlite, httr, curl, clipr, xml2, rvest, nodbi (>= 0.4)

jsonlite, httr, curl, clipr, xml2, rvest, nodbi (>= 0.7.0),
stringi, dplyr, lubridate
A system for querying, retrieving and analyzing
protocol- and results-related information on clinical trials from
three public registers, the 'European Union Clinical Trials Register'
('EUCTR', <https://www.clinicaltrialsregister.eu/>),
'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>) and
the 'ISRCTN' (<http://www.isrctn.com/>).
Trial information is downloaded, converted and stored in a database
('PostgreSQL', 'SQLite' or 'MongoDB'; via package 'nodbi').
Functions are included to identify de-duplicated records,
to easily find and extract variables (fields) of interest even
from complex nesting as used by the registers, and
to update previous queries.
The package can be used for meta-analysis and trend-analysis of
the design and conduct as well as for results of clinical trials.
devtools, knitr, rmarkdown, RSQLite (>= 2.2.4), mongolite,
tinytest (>= 1.2.1), R.rsp