NBDesign-package {NBDesign} | R Documentation |
Design and Monitoring of Clinical Trials with Negative Binomial Endpoint
Description
Calculate various functions needed for design and monitoring clinical trials with negative binomial endpoint with variable follow-up. This version has a few changes compared to the previous version 1.0.0, including (1) correct a typo in Type 1 censoring, mtbnull=bnull and (2) restructure the code to account for shape parameter equal to zero, i.e. Poisson scenario.
Details
The DESCRIPTION file:
Package: | NBDesign |
Type: | Package |
Version: | 2.0.0 |
Date: | 2020-09-09 |
Title: | Design and Monitoring of Clinical Trials with Negative Binomial Endpoint |
Description: | Calculate various functions needed for design and monitoring clinical trials with negative binomial endpoint with variable follow-up. This version has a few changes compared to the previous version 1.0.0, including (1) correct a typo in Type 1 censoring, mtbnull=bnull and (2) restructure the code to account for shape parameter equal to zero, i.e. Poisson scenario. |
Authors@R: | c( person(given="Xiaodong", family="Luo", email = "Xiaodong.Luo@sanofi.com", role =c("aut", "cre")), person("Sanofi", role = "cph")) |
Depends: | R (>= 3.1.2) |
Imports: | stats,PWEALL,MASS |
License: | GPL (>= 2) |
RoxygenNote: | 5.0.1 |
LazyData: | true |
Author: | Xiaodong Luo [aut, cre], Sanofi [cph] |
Maintainer: | Xiaodong Luo <Xiaodong.Luo@sanofi.com> |
Index of help topics:
NBDesign-package Design and Monitoring of Clinical Trials with Negative Binomial Endpoint negint2 A utility functon to calculate the mean exposure under different scenarios ynegbinompower Two-sample sample size calculation for negative binomial distribution with variable follow-up ynegbinompowersim Two-sample sample size calculation for negative binomial distribution with variable follow-up ynegbinomsize Two-sample sample size calculation for negative binomial distribution with variable follow-up
Author(s)
NA
Maintainer: NA
[Package NBDesign version 2.0.0 Index]