[NMusers] time-to-event simulation based diagnostic

2012-09-19 Thread Francois Gaudreault

Dear NONMEM users

I am currently performing a time-to-event analysis on binary data using a 
weibull distribution (time-varying hazard function).

Using simulation based diagnositcs, I compared `simulated kaplan-Meier` to 
`observed kaplan-Meier`. However, fit looks to good to be true and I was 
actually suspecting a mispecification during the simulation process with PsN


Here is the code used for vpc:

vpc run2.mod -tte=RTTE -flip_comments -samples=100


I used (ICALL.EQ.4) and the flip-comment option in the model file. However, I 
am not sure if I have to generate a new simulation data set (each individual 
having a row for each possible observation time) or use the original one ?

Any advises or comments are welcome

Regards,

-- 





François Gaudreault, Ph.D. Candidate
Pharmacométrie / Pharmacometrics
Chargé de cours / Lecturer
Faculté de pharmacie / Faculty of Pharmacy
Université de Montréal

  

[NMusers] Clinical Pharmacology positions at Pfizer in Cambridge (MA)

2012-09-19 Thread Nucci, Gianluca
Be influential.

Our Clinical Pharmacology Leads have key roles to play in influencing the 
discovery and development of drugs.  It is fascinating, vital work and you 
could be part of it.  Pfizer is a leader in Model Based Drug Development, and 
we are expanding its influence in target validation and selection.  We have new 
positions for talented individuals at our Cambridge, MA, USA labs.

Clinical Pharmacology Lead (grades from Manager to Director) at our CVMED or 
Neuroscience Research Units in Cambridge, MA;

In this key role you will serve as the Clinical Pharmacology Lead on 
multidisciplinary development teams and provide clinical pharmacology expertise 
and leadership to a project. You will work closely with clinicians and 
statisticians to create clinical development plans that include assessments of 
a drug's efficacy, safety, and commercial viability. In collaboration with 
other quantitative clinical and nonclinical disciplines, the Clinical 
Pharmacology Lead will integrate PK-PD knowledge from preclinical experiments, 
clinical results, and meta-analyses of the literature to inform target 
validation, human administration, and phase 2 study design and analysis.

In order to achieve these aims, candidates are responsible for the application 
and development of innovative analytical methods to integrate knowledge of 
pharmacokinetics, biopharmaceutics, pharmacodynamics, patient characteristics 
and disease states to optimize doses, dosage regimens and study designs 
throughout clinical drug development (including FIH single/multiple doses, 
proof of concept  PK-PD, dose-ranging in patients, drug interactions, special 
populations, food effects, etc.).

Clinical Pharmacology Leads routinely interact with internal leadership, 
regulatory agencies, and external opinions leaders.  We are expected to 
influence the internal and external environment by advancing quantitative and 
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The ideal candidates will be proficient communicators with a doctorate degree, 
strong quantitative skills (e.g. experience in mechanistic modeling/systems 
pharmacology, literature meta-analyses, population modeling, and clinical trial 
simulations) and expertise in clinical pharmacology and/or pharmacometrics . We 
encourage applicants from different disciplines including clinical 
pharmacology, engineering, biostatistics, medicine, biology, etc.  Candidates 
with significant experience are sought as well as recent graduates. In addition 
to professional challenge, we offer a culture that supports and encourages 
ideas, and recognizes individual contribution.

To apply please visit the careers pages on 
www.pfizer.com and enter the following job opening 
number:

For Clinical Pharmacology in CVMED job opening number: 971402
For Clinical Pharmacology in Neuroscience job opening number: 965962



RE: [NMusers] time-to-event simulation based diagnostic

2012-09-19 Thread Mats Karlsson
Dear Francois,

 

Unless you create a new data set where events are allowed to occur at any
possible time (usually a dense time grid), then the result that you have got
is rather the expected (i.e. too good to be true). 

 

Best regards,

Mats

 

Mats Karlsson, PhD

Professor of Pharmacometrics

 

Dept of Pharmaceutical Biosciences

Faculty of Pharmacy

Uppsala University

Box 591

75124 Uppsala

 

Phone: +46 18 4714105

Fax + 46 18 4714003

 

From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On
Behalf Of Francois Gaudreault
Sent: 19 September 2012 22:49
To: nmusers@globomaxnm.com
Subject: [NMusers] time-to-event simulation based diagnostic

 

Dear NONMEM users

I am currently performing a time-to-event analysis on binary data using a
weibull distribution (time-varying hazard function).

Using simulation based diagnositcs, I compared `simulated kaplan-Meier` to
`observed kaplan-Meier`. However, fit looks to good to be true and I was
actually suspecting a mispecification during the simulation process with PsN


Here is the code used for vpc:

vpc run2.mod -tte=RTTE -flip_comments -samples=100


I used (ICALL.EQ.4) and the flip-comment option in the model file. However,
I am not sure if I have to generate a new simulation data set (each
individual having a row for each possible observation time) or use the
original one ?

Any advises or comments are welcome

Regards,

-- 


François Gaudreault, Ph.D. Candidate
Pharmacométrie / Pharmacometrics
Chargé de cours / Lecturer

Faculté de pharmacie / Faculty of Pharmacy
Université de Montréal