similar to: Online course- Mixed Effects Models

TOP Institute Pharma (TI Pharma) has granted our proposal to set up a mechanism-based PKPD modelling platform. This platform focuses on the transfer of knowledge from academia to the pharmaceutical industry and is a collaborative effort of four excellent academic institutes and six leading global pharmaceutical industries. Unique to this platform is the availability of shared databases on

Pharmacokinetic and pharmacodynamic modeling and simulation By Dr. Jan Freijer September 24, 2009 Amsterdam, The Netherlands http://www.can.nl/events/details.php?id=57 This course is aimed at users of R or S-PLUS in the bio-pharmaceutical sciences who would like to use R for clinical trial simulations. topics include Working with packages in R - MASS -

Two Postdoctoral fellows (fulltime) Leiden University, Leiden, The Netherlands Job description ________________________________________ TOP Institute Pharma (TI Pharma) has granted our proposal to set up a mechanism-based PK-PD modelling platform. This platform focuses on the transfer of knowledge from academia to the pharmaceutical industry and is a collaborative effort of

Post-Doctoral Fellowship Modelling of Cardiovascular Safety (full time) Leiden University, Leiden, The Netherlands <javascript:doredirect();> Job description TOP Institute Pharma (TI Pharma) has granted our proposal to set up a mechanism-based PKPD modelling platform. This platform focuses on the transfer of knowledge from academia to the pharmaceutical industry and is a

________________________________ Principal Post-Doctoral Fellow PKPD modelling platform (full time) Leiden University, Leiden, The Netherlands <javascript:doredirect();> Job description ________________________________ TOP Institute Pharma (TI Pharma) has granted our proposal to set up a mechanism-based PK-PD modelling platform. This platform focuses on the transfer of

Drs. Brian Everitt and Torsten Hothorn will present their online course "Modeling in R" at statistics.com Jan. 19 - Feb. 16. Participants can ask questions and exchange comments with Drs. Everitt and Hothorn via a private discussion board throughout the period. In this course you learn how to use R to build statistical models and use them to analyze data. Multiple regression is

Dear R-users, I am pleased to announce the release of scaRabee, a new R package which constitutes a toolkit for modeling and simulation in the field of pharmacometrics. It was designed as a user-friendly interface to create and modify model scripts, define system observations and inputs, and run simulation or estimation analysis. scaRabee provides templates for the definition of

Dear R-users, I am pleased to announce the release of scaRabee, a new R package which constitutes a toolkit for modeling and simulation in the field of pharmacometrics. It was designed as a user-friendly interface to create and modify model scripts, define system observations and inputs, and run simulation or estimation analysis. scaRabee provides templates for the definition of

Dear all, at the Division of Clinical Pharmacology at the University of Cape Town (South Africa) we are looking for highly motivated science/engineering PhD graduates to join our pharmacometrics group as a post-doctoral fellow. Pharmacometrics is an emerging discipline that applies mathematical modelling and simulation to pharmacology, aiding the interpretation of data from clinical trials,

saemix implements the SAEM (stochastic approximation EM) algorithm for parameter estimation in non-linear mixed effect models, used to model longitudinal data. Longitudinal data are particularly prominent in pharmacokinetics (study of drug concentrations versus time) and pharmacodynamics (study of drug effect versus time), but the SAEM algorithm has also been successfully applied in many

saemix implements the SAEM (stochastic approximation EM) algorithm for parameter estimation in non-linear mixed effect models, used to model longitudinal data. Longitudinal data are particularly prominent in pharmacokinetics (study of drug concentrations versus time) and pharmacodynamics (study of drug effect versus time), but the SAEM algorithm has also been successfully applied in many

Take advantage of a 20% discount on the most recent R books from Chapman & Hall/CRC! Chapman and Hall/CRC is pleased to offer our latest books on R - all available through our website at a 20% discount to users of the software. To take advantage of this permanent offer, that is valid across the board for all of our R books, simply visit http://www.crcpress.com/, choose your titles, and insert

Dear R listers, I know I'm breaking the rules by asking a "homework" related question-- I hope you'll forgive me. I am a social psychology graduate student, and the only one in my department who uses R. I successfully completed my multiple regression and structural equation modeling courses using R (John Fox's car and sem packages were a big help, as was his book).

Online short course: Modeling in R Dr. Phillip Good will offer the short course "Modeling in R" online at statistics.com April 8-29, 2005. This 3-week course will show you how to use R to create models for use in classification and prediction. You will be introduced to advanced graphing methods as needed. Modeling techniques include OLS, LAD, and EIV regression, quantile

The Information Institute (http://www.information-institute.org), a charitable, non-profit, educational and scientific organization, in conjunction with faculty from Virginia Commonwealth University (VCU), is offering live, interactive, synchronous online classes (one AM and one PM to reach all time zones) on the use of R for a variety of academic-research statistical analyses. The registration

Hello, This is a follow up question to my previous one http://tolstoy.newcastle.edu.au/R/e4/help/08/02/3600.html I am attempting to model relationship satisfaction (MAT) scores (measurements at 5 time points), using participant (spouseID) and couple id (ID) as grouping variables, and time (years) and conflict (MCI.c) as predictors. I have been instructed to include random effects for the

Hello, I am using R2.5 under Windows. Looks like the following statement vars <- (obj$sigma^2)*vw in getVarCov.gls method (nlme package) needs to be replaced with: vars <- (obj$sigma*vw)^2 With best regards Andrzej Galecki Douglas Bates wrote: >I'm not sure when the getVarCov.gls method was written or by whom. To >tell the truth I'm not really sure what

Dear list members, the following hlm was constructed: hlm <- groupedData(laut ~ design | grpzugeh, data = imp.not.I) the grouped data object is located at and can be downloaded: www.anicca-vijja.de/lg/hlm_example.Rdata The following works: library(nlme) summary( fitlme <- lme(hlm) ) with output: ... AIC BIC logLik 425.3768 465.6087 -197.6884 Random effects:

Full_Name: Zivan Karaman Version: 2.7.2 OS: Windows XP Submission from: (NULL) (195.6.68.214) I'm puzzled by the readRegistry function. Shouldn't the "hive" argument be something like c("HLM", "HCR", "HCU", "HU", "HCC", "HPD") rather than c("HLM", "HCR", "HCU", "HU",

Analysis of Repeated Measurements By Dr. Ronald Geskus April 27, 2007 Amsterdam, The Netherlands http://www.can.nl/events/details.php?id=31 This course is aimed at everyone who is working with data that contain repeated measurements on persons or otherwise related data and who wants to analyse such data in a proper way. In many situations one may have data that show some