search for: nonmem

Hello, I have made an R script that prepares a NONMEM dataset and I would like to start the NONMEM run right after the dataset is ready. I am using windows XP, R 2.9.1 and NONMEM 6. I have prepared a run.bat file that looks like this: ---------------------------------------- call K:\nmvi\NMdirectories.bat call K:\nmvi\nmfe6 "path\control.txt&...

Hi I am having some problems running a covariate analysis with my colleage using R with the NonMem program we are using for a graduate school project. R and NonMem run fine without adding in the covariates, but the program is giving us a problem when the covariate analysis is added. We think the problem is with the R code to run the covariate data analysis. We have the control stream, R code (al...

Dear group, I am trying to prepare a NONMEM friendly dataset for population PK analysis. My patient IDs are 10 digit long and NONMEM is losing precison and rouding the last couple of digits. I need to generate unique Patient IDs fromt he current 10-digit IDs. Ihave total 250 subjects so I appreciate if anybody can suggest me a way to code...

Hi Everyone: I am running NONMEM from R using following command. shell("nmfe72 TOT_EST_DOSE2.CTL DOSE2.OUT",wait=T) This command runs NONMEM successfully but does not show the progress. Usually, intermediate outputs are displayed on CMD console when this same command is run from CMD console. How can I v...

Dear R-users, Do you know if we can use the function lme in R for log-normal distribution of parameters as used in Nonmem ? theta=theta0*exp(eta) In our model, the parameters follow the log-normal distribution so it's not reasonable to deal with normal distribution which gives us negative values in simulation Thanks for your help, Thu [[alternative HTML version deleted]]

Dear All, I want to create a dataset for a NONMEM simulation. I have a dataframe with individual PK parameters and want to create a dosing sceinario in a second dataframe. I want to merge them both so that every individiual's PK parameters are combined with the dosing scenario into one. I do not have a common variable to merge and cbind is g...

...latex so there is latex code in the files and looks bad. example problem code: AIC$_c$ or \begin{itemize} \item NLME: \begin{itemize} \item population level: identify(MM\$mm\$fitted[,1], MM\$pkdata\$conc) \item individual level: identify(MM\$mm\$fitted[,2], MM\$pkdata\$conc) \end{itemize} \item NONMEM: \begin{itemize} \item population level: identify(NM\$pred\$PRED, NM\$pred\$CONC) \item individual level: identify(NM\$pred\$IPRE, NM\$pred\$CONC) \end{itemize} \item WinBUGS: \begin{itemize} \item population level: identify(WB\$pred\$ppred, WB\$pred\$conc) \item individual level: identify(WB\$pred...

..., mathematics or computer sciences. * Knowledge of statistical languages: S-PLUS, R, or SAS. * Experience of statistical programming and modelling in a pharmaceutical environment. * Excellent communication skills. * Experience of other pharmaceutical softwares is an advantage (eg. NONMEM, Spotfire, Pharsight, WinBugs). * Experience of general software systems is an advantage (eg. Java, Oracle, C, XML, HTML). Offering * Opportunity to extend your technical knowledge within the pharmaceutical sector. * Exposure to other areas of statistical software consulting by wo...

...r (bio-)statistics obtained within the past 5 years. OR a PhD in biological sciences AND evidence of keen interest and proficiency towards the quantitative side of the subject. Experience with computer programming (e.g. R, Matlab, C++) and data analysis. Previous experience in pharmacometrics (e.g. NONMEM, Monolix) would be advantageous, but not essential. A good command of English, passion about scientific research, and the ability to work within a team. What we offer: Mentorship and guidance to learn pharmacometrics (although the candidate is expected to do a fair amount of self-learning). A rang...

...tors and procedures on study power, bias and treatment effect size. Translational aspects will also be explored to allow better extrapolation from preclinical to clinical findings. The approach is based on hierarchical models and relies on the use of advanced statistical software tools such as NONMEM, WINBUGS and R. We are looking for a highly motivated PhD student or post-doctoral scientist to investigate the research questions indicated above. This appointment will be for 2 (post-doctoral fellowship) or 4 years (PhD programme) Requirements: The post-doctoral fellow should have the fol...

...gression and to predict the effects of ageing on clinical response and 2) to create a translational research framework that allows extrapolation of preclinical to clinical and epidemiological findings. Existing (pre-) clinical data will be analysed with advanced data analysis software tools such as NONMEM and R. We are looking for two highly motivated scientists (PhD degree) to: 1) investigate disease models in COPD. The COPD project is part of the disease progression working group which consist of two PhD students and two post-doctoral research fellows. 2) evaluate the "o...

...predict the effects of ageing on clinical response and 3) to create a translational research framework that allows extrapolation of preclinical to clinical and epidemiological findings. The approach is based on hierarchical models and relies on the use of advanced statistical software tools such as NONMEM, WINBUGS and R. To ensure the development of a conceptual research framework beyond the specific scientific questions being addressed by the working groups and enable cross-fertilisation of skills, a position has been created for a principal post doctoral fellow. This appointment also offers th...

...predict the effects of ageing on clinical response and 3) to create a translational research framework that allows extrapolation of preclinical to clinical and epidemiological findings. The approach is based on hierarchical models and relies on the use of advanced statistical software tools such as NONMEM, WINBUGS and R. To ensure the development of a conceptual research framework beyond the specific scientific questions being addressed by the working groups and enable cross-fertilisation of skills, a position has been created for a post doctoral fellow. The main objective of this program is to e...

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...g the ploidy of samples, and lastly it can estimate allele frequencies in populations and calculate pairwise Fst values based on those frequencies. * popPK (1.01) FDA Pharmacometrics http://crantastic.org/packages/popPK This package uses xpose4 to create standard graphs and tables for NONMEM runs. * ppMeasures (0.1) David Diez http://crantastic.org/packages/ppMeasures The package focuses on distances and prototypes for point patterns. There are three algorithms provided to compute spike-time distance, and one of these algorithms is generalized to compute variations of spi...

...rge Ivan Velez) > 45. Re: weighted ftable (Andrew Choens) > 46. Re: Chi-Square Test Disagreement (Andrew Choens) > 47. Reshape with var as fun.aggregate (locklin.jason@gmail.com) > 48. Creating a vector based on lookup function (PDXRugger) > 49. Request for Assistance in R with NonMem (Michael White) > 50. Re: Smoothed 3D plots (Mark Difford) > 51. SPSSyntax function (Adrian Dusa) > 52. R and SPSS (Applejus) > 53. Re: Creating a vector based on lookup function (Charles C. Berry) > 54. Re: Very slow: using double apply and cor.test to compute > correl...