Help with Monte Carlo

Hi all,

I have the following equation:

dCs(t)=(I*Ea/Vd)-(Ke*Cs(t)); % Single compartment Tox model

I would like to run a monte carlo for the following variables:

% Parameters that will be subject to monte carlo

%Vd - Volume of distribution; Normally distributed between 7 and 77

%Ke - Elimination rate; Uniform distrubution between 8 and 88

%I - Intake rate; Log-Normal distribution between 9 and 99

I would like to run 1000 Monte Carlo iterations.

How would I code this? All the examples I've found are a bit complicated for me to understand.

Thanks!

[Walter Roberson]

 %Vd - Volume of distribution; Normally distributed between 7 and 77

Not possible. Normal distribution is infinite on both sides. Perhaps a beta distribution?

[Wesser]

Totally fair comment! I was just throwing out different kinds of distribitions becasue I'm not sure what these will be for each variable (I'm not the toxicologist on this project!) . I do know that the variables will be within known ranges and might have different types of distributions. So yes, beta distribution would work as far a this example goes. Thanks for this feedback!

Answer 1

[Image Analyst]

For your normal distribution rather than just say it's between 7 and 77, you should give its mean and standard deviation. Then use randn(). Same for the lognormal. Like

numExperiments = 1000;
Vd = 45 + 10 * rand(1, numExperiments);
Ke = 8 + 80 * rand(1, numExperiments);
pd = makedist('Lognormal', 'mu', log(45), 'sigma', 10)
I = random(pd, 1, numExperiments);
dCs = (I * Ea / Vd) - (Ke * Cs);

or something sort of like that. I don't know what t, Cs, and Ea are.

[Wesser]

Thanks! This is great :)