similar to: gsDesign

Still failed. The first secret is in your email program settings, to use Plain Text format (at least for emails you send to this mailing list). The second secret tool to use is the reprex package to let you verify that your code example will do on our computers what it is doing on your computer before you send it to us. That will also involve giving us some sample data or referencing some data

Sorry for messed up text. Here it goes again: I am learning to use the gsDesign package. I have a question about Pocock and OBF boundary. As far as I can understand, these 2 boundaries require equal spacing between interim analyses (maybe this is not correct?). But looks like I can still use gsDesign to run an analysis based on unequal spacing:? >

Hi, I am learning to use your gsDesign package!?I have a question about Pocock and OBF boundary. As far as Iunderstand, these 2 boundaries require equal spacing between interim analyses(maybe this is not correct?). But I can still use gsDesign to run an analysisbased on unequal spacing:?gsDesign(k=2,test.type=2,timing=c(0.75,1),alpha=0.05,sfu='Pocock')Symmetrictwo-sided group sequential

> On 23 Sep 2017, at 01:32, array chip via R-help <r-help at r-project.org> wrote: > > Hi, > > I am learning to use your gsDesign package! I have a question about Pocock and OBF boundary. As far as Iunderstand, these 2 boundaries require equal spacing between interim analyses(maybe this is not correct?). But I can still use gsDesign to run an analysisbased on unequal

Dear all, I'm excited to announce that a new version of gsDesign (3.6.0) is now on CRAN (https://cran.r-project.org/package=gsDesign). gsDesign supports group sequential clinical trial design, largely as presented in Jennison and Turnbull (2000). The 3.6.0 update introduces some significant new features and enhancements: - New gsSurvCalendar() function to enable group sequential design for

Dear all, I'm excited to announce that a new version of gsDesign (3.6.0) is now on CRAN (https://cran.r-project.org/package=gsDesign). gsDesign supports group sequential clinical trial design, largely as presented in Jennison and Turnbull (2000). The 3.6.0 update introduces some significant new features and enhancements: - New gsSurvCalendar() function to enable group sequential design for

Hello Everyone,   I’m a SAS user who has recently become interested in sequential clinical trials designs. I’ve discovered that the SAS based approaches for these designs are either too costly or are “experimental.” So now I’m looking for alternative software. Two programs that seem promising are SPLUS Seqtrial and R.   I recently obtained a 30 day trial for the SPLUS Seqtrial add-on and have

Hi, I'm writing to ask what is the reason that a Trap window always pops up in WinBUGS? I'm tring to run the function 'bugs' in R for a zero-inflated gaussian model. The contents appear in the Trap window is as follows: *incompatible copy BugsCmds.TextError [000003A1H] .beg INTEGER 1636169112 .end INTEGER 16861596 .name ARRAY 256 OF CHAR

Try changing your method to "ML" and try again. I tried the run the first example from the documentation and it failed with the same error. Changing the estimation method to ML worked. @List: Can anyone else verify the error I got? I literally ran the following two lines interactively from the example for goodfit: dummy <- rnbinom(200, size = 1.5, prob = 0.8) gf <- goodfit(dummy,

Hi Group, I'm looking for a method to calculate sample size for a non-inferiority survival analysis. Initially I've used cpower() of Hmisc, switching the roles of type-I and type-II errors, as cpower() assumes no treatment difference as the null hypothesis. Now, I would like to introduce event rate difference under the null-hypothesis, and calculate sample size accordingly. Any ideas?

Dear All, I run the goodness of fit test using goodfit() in vcd package. The result is as follow: Goodness-of-fit test for poisson distribution X^2 df P(> X^2) Pearson 1.053348 2 0.5905661 Warning message: In summary.goodfit(gf) : Chi-squared approximation may be incorrect I want to save the the test statistics(X^2), df, and p-value. How can I save the result.

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Estimados miembros de la lista. Estoy usando 2 funciones del paquete vcd y obtengo resultados que parecen discrepar entre ambas funciones. > dput(peces) c(26L, 63L, 1L, 21L, 20L, 50L, 0L, 104L, 19L, 0L, 8L, 32L, 0L, 24L, 5L, 2L, 0L, 36L, 0L, 5L, 27L, 1L, 13L, 24L, 15L, 25L, 23L, 5L, 37L, 26L, 29L, 14L, 15L) La función Ord_plot me dice que la mejor distribución para los datos es binomial

Hello everyone, I need to do a sample size calculation. The study two arms and two endpoints. The two arms are two different cancer drugs and the two endpoints reflect efficacy (based on progression free survival) and toxicity. Until now, I have been trying to understand this in terms of a one-arm design, where the acceptable rate of efficacy might be 0.40, the unacceptable rate of efficacy

Dear R-helpers, let us assume, that I have the following dataset: a <- rnbinom(200, 1, 0.5) b <- (1:200) c <- (30:229) d <- rep(c("q", "r", "s", "t"), rep(50,4)) data_frame <- data.frame(a,b,c,d) In a first step I run a glm.nb (full code is given at the end of this mail) and want to predict my response variable a. In a second step, I would

When tag_set->nr_maps is 1, the block layer limits the number of hw queues by nr_cpu_ids. No matter how many hw queues are use by virtio-blk/virtio-scsi, as they both have (tag_set->nr_maps == 1), they can use at most nr_cpu_ids hw queues. In addition, specifically for pci scenario, when the 'num-queues' specified by qemu is more than maxcpus, virtio-blk/virtio-scsi would not be

On 3/13/19 5:39 PM, Cornelia Huck wrote: > On Wed, 13 Mar 2019 11:26:04 +0800 > Dongli Zhang <dongli.zhang at oracle.com> wrote: > >> On 3/13/19 1:33 AM, Cornelia Huck wrote: >>> On Tue, 12 Mar 2019 10:22:46 -0700 (PDT) >>> Dongli Zhang <dongli.zhang at oracle.com> wrote: >>> >>>> I observed that there is one msix vector for

On 3/13/19 5:39 PM, Cornelia Huck wrote: > On Wed, 13 Mar 2019 11:26:04 +0800 > Dongli Zhang <dongli.zhang at oracle.com> wrote: > >> On 3/13/19 1:33 AM, Cornelia Huck wrote: >>> On Tue, 12 Mar 2019 10:22:46 -0700 (PDT) >>> Dongli Zhang <dongli.zhang at oracle.com> wrote: >>> >>>> I observed that there is one msix vector for

VIRTIO_PCI_CONFIG() is deprecated. Use VIRTIO_PCI_CONFIG_OFF() instead. Signed-off-by: Dongli Zhang <dongli.zhang at oracle.com> --- drivers/virtio/virtio_pci_legacy.c | 6 ++++-- include/uapi/linux/virtio_pci.h | 2 -- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/drivers/virtio/virtio_pci_legacy.c b/drivers/virtio/virtio_pci_legacy.c index de062fb..eff9ddc 100644 ---

VIRTIO_PCI_CONFIG() is deprecated. Use VIRTIO_PCI_CONFIG_OFF() instead. Signed-off-by: Dongli Zhang <dongli.zhang at oracle.com> --- drivers/virtio/virtio_pci_legacy.c | 6 ++++-- include/uapi/linux/virtio_pci.h | 2 -- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/drivers/virtio/virtio_pci_legacy.c b/drivers/virtio/virtio_pci_legacy.c index de062fb..eff9ddc 100644 ---