PharmML

A markup language for encoding of pharmacometric models

[Lixoft @lixoft]

Wondering how to implement a model with time-varying clearance in #Monolix? This mini case-study guides you step-by-step and includes several typical models. See also https://t.co/Oh4SWSKzfG
https://t.co/qeo6NjoNGI

[Paul Macklin @MathCancer]

When I was a kid, I loved drawing maps. I'm so thrilled I get to work on the HuBMAP to create a biomolecular map of the human body, with the @NIH and the @NIH_CommonFund.

Working with @katycns and @CompCancer to create a coordinate system to navigate this new map! @MultiCellDS

[Lixoft @lixoft]

Learn how to export the plots data from Monolix to reuse them with your second favorite software, for example to generate different plots with R. https://t.co/uWFgsAPpdg

[Maciek Jacek Swat @inz798]

The Standard Output: A Tool‐Agnostic Modeling Storage Format - Terranova - 2018 - CPT: Pharmacometrics & Systems Pharmacology - Wiley Online Library https://t.co/JTTSEo1HdU

[Texas A&M Toxicology @tamutox]

Join us for Dr. Nan-Hung Hsieh's seminar on Monday, 9/24 at 3:30 PM in 101B VENI: “Applying a Global Sensitivity Analysis Workflow to Improve the Computational Efficiencies in Physiologically-Based Pharmacokinetic Modeling”

[MetrumRG @MetrumRG]

Torsten: Stan Functions for Pharmacometrics Applications - https://t.co/GnyZ6xFHjX

[PharmML @PharmML]

Our CPT:QSP Perspective on 'Standard Output' is out https://t.co/imkJlDR7GN
SO is the younger brother of @PharmML, a tool agnostic format to store PMX and QSP results.

[Joshua Bull @JoshuaABull]

.@MathCancer introduces Physicell - you can find the paper here: https://t.co/66SuDQx38N #matrixmcsb

[Lixoft @lixoft]

Running sequential joint models, initializing a variable with information from the dataset, defining complex parameter-covariate relationships... Regressors are useful in many situations and easy to define in #Monolix.
Read on: https://t.co/cm3ZZ3Kj5v
https://t.co/kBhIrWQwmG

[Lixoft @lixoft]

Time-varying covariates can be used in #Monolix, but they have to be defined in the structural model file. This video shows how.
More details: https://t.co/WhTj1qe4ms

https://t.co/EPTANQ6tl6

[Vijay Ivaturi @vijay_ivaturi]

This is crazy and scary! #opioidcrisis

[Adrian Moldovan @avmoldovan]

Couldn't find a probability distribution mindmap more complete (or readable 🙂). Extremely useful imho, in particular in ML https://t.co/FIJwprFJGx

[Lixoft @lixoft]

Another week, another feature of #Monolix! Today, learn how to encode different types of time-to-event data for flexible modelling in Monolix.
#popPK #SurvivalAnalysis
More examples at https://t.co/teNMOepmzX
https://t.co/cJMz9GSeAR

[SBML @sbmlnews]

LibSBML version 5.17 has been released! https://t.co/M1F5lMByaw

[Natalie Pilakouta @NPilakouta]

I was recently asked to give a stats talk in my department on how to analyse zero-inflated count data, which is a common problem in ecology (and especially behavioural ecology). I came up with this flowchart and thought I'd share it in case it's useful for any of you #rstats

[ProbOnto @ProbOntoDB]

@ProbOntoDB distributions and their relationships in version 2.5

[Lixoft @lixoft]

Are you looking for publication-ready diagnostic plots? Monolix allows you to change the appearance of the plots to save high-quality figures.
#Monolix #popPK
https://t.co/ptn4pT5Hqk

[ASCPT Alexandria @ASCPT_ClinPharm]

Congratulations to France Mentre the #ASCPT2018 Sheiner-Beal Award Recipient. Find out more about the Sheiner-Beal award and start thinking if you know a colleague who measures up. https://t.co/OLiqYyqhnM

[Lixoft @lixoft]

Find out how to match different types of observations to different model outputs, or use only part of your data set with #Monolix.
#pharmacometrics #popPK
https://t.co/Zi5QB0ctN9

[Mike K Smith @MikeKSmith]

@dataandme @gavincrooks I can also heartily recommend @ProbOntoDB. How distributions and their parameterisations are related. https://t.co/C3JFlvf4BJ @PharmML