Re: [NMusers] Re: Random number generation

2019-06-04 Thread Sebastien Bihorel
ERRATUM: 
runif.f90: 
FUNCTION FUNCA(X,X1,X2) 
USE SIZES, ONLY: DPSIZE 
REAL(KIND=DPSIZE) :: X,X1,X2,FUNCA 
FUNCA = RAND() 
RETURN 
END 


From: "Sebastien Bihorel"  
To: "Tingjie Guo"  
Cc: nmusers@globomaxnm.com 
Sent: Monday, June 3, 2019 4:54:46 PM 
Subject: [NMusers] Re: Random number generation 


Thanks Tingjie for your suggestion 

Unfortunately, as is, the suggested code is rejected by NONMEM 7.3 if used in 
$ERROR. Some additional setup calls might be required. 

An (admittedly heavy-handed) alternative that actually works is to create and 
import a fortran routine (see NONMEM help topic about FUNCA, or VECTRA). 

runif.f90: 
FUNCTION FUNCA(X,X1,X2) 
USE SIZES, ONLY: DPSIZE 
REAL(KIND=DPSIZE) :: X,X1,X2,FUNCA 
FUNCB = RAND() 
RETURN 
END 

Control stream: 
... 
$SUBROUTINES ADVAN_ TRANS_ OTHER=runif.f90 
... 
$ERROR 
VECTRA(1) = 0 
VECTRA(2) = 0 
VECTRA(3) = 0 

RND = FUNCA(VECTRA) 
... 


From: "Tingjie Guo"  
To: "Sebastien Bihorel" , 
nmusers@globomaxnm.com 
Sent: Monday, June 3, 2019 12:58:56 PM 
Subject: Re: Random number generation 

Hi Sebastien, 

As far as I know, you could write verbatim code to generate random numbers 
during estimation. E.g: 

$PK|$DES|$ERROR 
RAN = any value ; initialization 
"RAN = RAND(0) ; start verbatim code 

A random number between 0 and 1 from uniform distribution will be assigned to 
RAN. This function is called for each record of your input data. I believe it's 
also possible to call it more/fewer times through checking ICALL. 

Warm regards, 
Tingjie 





From: owner-nmus...@globomaxnm.com  on behalf of 
Sebastien Bihorel  
Sent: Thursday, May 30, 2019 12:34 
To: nmusers@globomaxnm.com 
Subject: [NMusers] Random number generation 

Hi, 

Is it possible for NONMEM to generate a random number during an estimation run? 

Thank you 

Sebastien Bihorel 




[NMusers] Quantitative Clinical Pharmacology Position at GSK

2019-06-04 Thread Chao Chen
We have an exciting opportunity at GlaxoSmithKline (GSK) for a highly motivated 
Quantitative Clinical Pharmacologist to join our London team as part of the 
global department of Clinical Pharmacology Modelling & Simulation. This is an 
excellent role to use quantitative clinical pharmacology to accelerate the 
delivery of new medicines to patients by enhancing drug program efficiency and 
business decision quality. The work directly supports our mission to help our 
patients do more, feel better and live longer. The job level will depend on the 
skills and achievements of the successful candidate.

Responsibilities will include:

*   Plan, execute and report translational drug-disease modelling, 
exposure-response analysis, simulation-based trial design and population 
clinical pharmacology
*   Contribute to clinical program design, trial protocols, analysis plans, 
study reports and regulatory submissions
*   Apply innovative techniques such as longitudinal exposure-response 
analysis, model-based meta-analysis and item-response analysis to improve data 
use and trial efficiency
*   Present strategy and discuss outcome of model-based approaches via 
interactions with governance boards and regulatory agencies
*   Promote model-informed drug discovery and development through external 
collaboration, journal publication and conference presentation

Qualification requirements:

*   A doctorate relevant to Quantitative Clinical Pharmacology, and 
experience in using modelling/simulation to solve practical problems in 
industry or academia
*   Proven skills in pharmacokinetic-pharmacodynamic and longitudinal 
disease modelling; and verifiable proficiency in pharmacometric tools NONMEM, 
Monolix, R or SAS
*   Strong drive and learning agility to build knowledge on a drug-disease 
system, symptom progression, standard of care, and trial design and endpoints
*   Demonstrated aptitude for productive collaboration in a 
multi-discipline team, using effective communication and taking personal 
accountability for timely delivery of results
*   Clear evidence of ability to make sound judgement in complex situations 
and adapt to changing business needs by prioritising multiple tasks

At GSK, we develop therapies of various modalities for a broad range of 
indications. As a member of a global department with diverse expertise, you 
will enjoy a highly supportive environment for scientific innovation, business 
impact and professional growth. This position is open for application till 
Wednesday 19th June 2019. Interested persons are encouraged to apply online 
here.

Chao Chen
Clinical Pharmacology Modelling & Simulation
GlaxoSmithKline R&D


GSK monitors email communications sent to and from GSK in order to protect GSK, 
our employees, customers, suppliers and business partners, from cyber threats 
and loss of GSK Information. GSK monitoring is conducted with appropriate 
confidentiality controls and in accordance with local laws and after 
appropriate consultation.



  

This e-mail was sent by GlaxoSmithKline Services Unlimited
(registered in England and Wales No. 1047315), which is a
member of the GlaxoSmithKline group of companies. The
registered address of GlaxoSmithKline Services Unlimited
is 980 Great West Road, Brentford, Middlesex TW8 9GS.