Difference between revisions of "Overview"

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<div style="text-align: left"><math> f(t)</math></div>
 
  
 
* Predicted concentration at time $t$:
 
* Predicted concentration at time $t$:
\begin{equation}
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<div style="text-align: left"><math> f(t ; V,k) = \frac{D}{V} \ e^{-k \, t} </math></div>
f(t ; V,k) = \frac{D}{V} \ e^{-k \, t}
 
\end{equation}
 
  
  

Revision as of 14:17, 1 February 2013

Data: concentrations at times $0, 1, \ldots 15$, from 6 patients who received each 100 mg at time $t=0$ (bolus intravenous):


Goal of modelling: describe the variability of the data (structural, intra $\&$ inter variabilities) using a statistical model.


The classical individual approach derives a model for a unique individual.


  • Predicted concentration at time $t$:
\( f(t ; V,k) = \frac{D}{V} \ e^{-k \, t} \)


  • Observed concentration at time $t_j$, $j=1, 2, \ldots, 15$:

\begin{equation} y_j = f(t_j ; V,k) + \varepsilon_j \end{equation}


Observed concentrations from individual 1 and predicted concentration profile obtained with $V=10.5$ and $k=0.279$:

Intro2.png