similar to: New package ‘bcrm’ to implement Bayesian continuous reassessment method designs

Dear all, Version 0.3 of the bcrm package is now available on CRAN. The package allows users to fit Bayesian Continuous Reassessment Method Phase I trial designs. This version has the following new developments from version 0.1: * Stopping rules have been added, allowing stopping to be based on a maximum sample size, the maximum number to be treated at the final MTD estimate, the precision

Dear all, Version 0.3 of the bcrm package is now available on CRAN. The package allows users to fit Bayesian Continuous Reassessment Method Phase I trial designs. This version has the following new developments from version 0.1: * Stopping rules have been added, allowing stopping to be based on a maximum sample size, the maximum number to be treated at the final MTD estimate, the precision

Greetings, I implemented BRugs to run the EWOC model with a cohort size N=1. I output the simulation data using bugsdata(data), where data is the following list. > data $Dose [1] 140 $Y [1] 0 bugsdata(data) puts out the file data.txt as follows. list(Dose=1.40000E+02, Y=0.00000E+00) after I type the following line modelData("data.txt")

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 all, I tried help.search("karber") and RSiteSearch("karber") and RSiteSearch("*karber*") to find whether the (trimmed) Spearman-Karber method for LD50 evaluation in toxicity data (e.g. according to Hamilton 1977) has been implemented in R. Or does this method feature under a different name? Of course logit and probit are doable, but Spearman-Karber seems to

Version 1.1-8 of package 'scuba' has been uploaded to CRAN. 'scuba' is a package for scuba diving calculations and decompression models. It supports dive profiles (tables, plotting etc), analysis of dive profiles using decompression models, gas toxicity calculations, and gas usage calculations. New features in version 1.1-8: . support for dive profiles uploaded from a dive

Dear R users, I d like to assess the effect of "treatment" covariate on a disease relapse risk with the package cmprsk. However, the effect of this covariate on survival is time-dependent (assessed with cox.zph): no significant effect during the first year of follow-up, then after 1 year a favorable effect is observed on survival (step function might be the correct way to say that

Dear R users, I d like to assess the effect of "treatment" covariate on a disease relapse risk with the package cmprsk. However, the effect of this covariate on survival is time-dependent (assessed with cox.zph): no significant effect during the first year of follow-up, then after 1 year a favorable effect is observed on survival (step function might be the correct way to say that ?).

Hi All: I am working with a dataset on Arsenic toxicity, and I am trying to calculate the 20th, 40th, 60th, 80th, and highest percentiles for a variable, dietary Moisture (variable name dMoist). The inbuilt function quantile(dMoist) would print 0, 25th, 50th, 75th, and 100th percentile. Does there exist a function that can calculate xth percentile (where x = 10th, 20th, ... etc) values?

Hi R experts, I have a data recoding problem I cant get my head around - I am not that great at the subsetting syntax. I have a dataset of longitudinal toxicity data (for multistate modelling) for which I want to also want to do a simple Kaplan-Meier curve of the time to first toxic event. The data for 2 cases presently looks like this (one with an event, the other without), with id representing

hi! i have a small problem with the game, my energy is black and toxicity too. Can you help me?

Hello again, I m trying to use timereg package as you suggested (R2.7.1 on XP Pro). here is my script based on the example from timereg for a fine & gray model in which relt = time to event, rels = status 0/1/2 2=competing, 1=event of interest, 0=censored random = covariate I want to test library(timereg) rel<-read.csv("relapse2.csv", header = TRUE, sep = ",",

Hi, I am not very familiar with complex ANOVA, so, I am not sure about the formula to use with aov() in this particular case. Could someone help me? Here is my data. I have an unbalanced plan with 4 factors: "Site", "Sex", "Age" and "Individual". "Site" is a 5-level fixed factor; "Sex" is of course a 2-levels fixed factor, as is

I tried to post this a few times last week and it seems to have got stuck somehow so I'm trying from a different email in the hope that works. If somehow this has appeared on the list 20 tiems and I never saw any of them I apologize ;-) I'm basically an R-newbie. But I am VERY computer literate. But this has me stumped... All the examples for using the rmeta package to create a

Nonclinical Biostatistics position at Genentech, South San Francisco September 3, 2009 Genentech has an opening for a full time position in its Nonclinical Biostatistics group, located in South San Francisco, CA. The nonclinical group currently consists of ten MS and PhD level statisticians and mathematicians, plus one programmer, who work with approximately 1,000 scientists, engineers, and

Dear R users, I'm a little lost on how to define pmodels for the DRC package. My goals are to produce isoboles of binary toxicity data. any tips? I really just need to know what pmodels refers to. Cheers, Pat -- View this message in context: http://r.789695.n4.nabble.com/pmodels-in-DRC-tp4190567p4190567.html Sent from the R help mailing list archive at Nabble.com.

July 14, 2011 Genentech, A Member of the Roche Group, has an opening for a full time position in its nonclinical biostatistics group located in South San Francisco, CA. The nonclinical group consists of statisticians who work with scientists, engineers, and managers in research, drug discovery, preclinical testing, process and product development, manufacturing, and quality control. Statistical

Type e.g.: quantile(x,0.1) or Quantile(x,0.8) Which calculates the 10th and 80th quantile Matthias Templ -----Urspr??ngliche Nachricht----- Von: arinbasu at softhome.net [mailto:arinbasu at softhome.net] Gesendet: Montag, 26. April 2004 09:29 An: r-help at stat.math.ethz.ch Betreff: [R] Looking for help in calculating percentiles Hi All: I am working with a dataset on Arsenic toxicity,

scuba 1.2-1 ** now with added Helium ** 'scuba' is a contributed R package that performs theoretical calculations about scuba diving --- dive profiles, decompression models, gas toxicity and so on. New features in version 1.2-1: . Breathing gases may now contain Helium as well as Oxygen and Nitrogen. . Decompression models now handle breathing gases containing

scuba 1.2-1 ** now with added Helium ** 'scuba' is a contributed R package that performs theoretical calculations about scuba diving --- dive profiles, decompression models, gas toxicity and so on. New features in version 1.2-1: . Breathing gases may now contain Helium as well as Oxygen and Nitrogen. . Decompression models now handle breathing gases containing