randomizeR-package: Randomization for Clinical Trials
In randomizeR: Randomization for Clinical Trials
randomizeR-package R Documentation
Randomization for Clinical Trials
Description
This tool enables the user to choose a randomization procedure based on
sound scientific criteria. It comprises the generation of randomization
sequences as well the assessment of randomization procedures based on
carefully selected criteria. Furthermore, randomizeR provides a function for
the comparison of randomization procedures.
Acknowledgement
This research is embedded in the
IDeAl project, which has received
funding from the European Union's Seventh Framework Programme for
research, technological development and demonstration under Grant Agreement
no 602552.
Author(s)
David Schindler dv.schindler@gmail.com, Diane Uschner Diane.Uschner@gmail.com,
Ralf-Dieter Hilgers, Nicole Heussen, Marcia Viviane Rueckbeil marcia.rueckbeil@rwth-aachen.de
References
W. F. Rosenberger and J. M. Lachin (2002) Randomization in Clinical Trials.
Wiley.
#' D. Uschner, D. Schindler, R. D. Hilgers and N. Heussen (2018). "randomizeR: An R Package
for the Assessment and Implementation of Randomization in Clinical Trials." Journal
of Statistical Software, 85(8), pp. 1-22. doi: 10.18637/jss.v085.i08
.
D. Schindler (2016) Assessment of Randomization Procedures in the Presence of
Selection and Chronological Bias. PhD Thesis.
D. Uschner, R. D. Hilgers, N. Heussen (2018). "The impact of selection bias in randomized
multi-arm parallel group clinical trials." PLOS ONE, 13(1): e0192065.
doi: 10.1371/journal.pone.0192065.
M. V. Rueckbeil, R. D. Hilgers, N. Heussen (2019). "Randomization in survival studies: An
evaluation method that takes into account selection and chronological bias." PLOS ONE, 14(6):
e0217946. doi: 10.1371/journal.pone.0217946.
See Also
For functionality for randomization procedures, see randPar and
genSeq.
For the criteria for the assessment of randomization procedures, see
issues.
For the assessment and comparison of randomization procedures, see
assess and compare.
randomizeR documentation built on Sept. 19, 2023, 1:08 a.m.
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| randomizeR-package | R Documentation |
Randomization for Clinical Trials
Description
This tool enables the user to choose a randomization procedure based on sound scientific criteria. It comprises the generation of randomization sequences as well the assessment of randomization procedures based on carefully selected criteria. Furthermore, randomizeR provides a function for the comparison of randomization procedures.
Acknowledgement
This research is embedded in the IDeAl project, which has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author(s)
David Schindler dv.schindler@gmail.com, Diane Uschner Diane.Uschner@gmail.com, Ralf-Dieter Hilgers, Nicole Heussen, Marcia Viviane Rueckbeil marcia.rueckbeil@rwth-aachen.de
References
W. F. Rosenberger and J. M. Lachin (2002) Randomization in Clinical Trials. Wiley.
#' D. Uschner, D. Schindler, R. D. Hilgers and N. Heussen (2018). "randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials." Journal of Statistical Software, 85(8), pp. 1-22. doi: 10.18637/jss.v085.i08 .
D. Schindler (2016) Assessment of Randomization Procedures in the Presence of Selection and Chronological Bias. PhD Thesis.
D. Uschner, R. D. Hilgers, N. Heussen (2018). "The impact of selection bias in randomized multi-arm parallel group clinical trials." PLOS ONE, 13(1): e0192065. doi: 10.1371/journal.pone.0192065.
M. V. Rueckbeil, R. D. Hilgers, N. Heussen (2019). "Randomization in survival studies: An evaluation method that takes into account selection and chronological bias." PLOS ONE, 14(6): e0217946. doi: 10.1371/journal.pone.0217946.
See Also
For functionality for randomization procedures, see randPar and
genSeq.
For the criteria for the assessment of randomization procedures, see
issues.
For the assessment and comparison of randomization procedures, see
assess and compare.
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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