**Chapter 4**

*Section 4.4.2, p 81*
Figure 4.22: some values of

*a*,

*b* and

*c* are incorrect.

Here is the figure with the corrected values.

*Section 4.3.1, p 69*
Example 4.1: formula for logit is incorrect.
$$
{\rm logit}(p_{ij}) = \log \left( \frac{p_{ij}}{1-p_{ij}} \right)
$$

*Section 4.4.3, p 82*
Unwanted parenthesis ")" should be removed in Model 1:
$$
\begin{aligned}
P(y_{ij}=1 | \psi_i ) &= \pi_i \\\
P(y_{ij}=0 | \psi_i ) &= 1 -\pi_i
\end{aligned}
$$

*Section 4.3.1, p 70* *p* and

*1-p* should be interchanged in the formula for the negative binomial distribution:
$$P(y=k ; r,p) = \frac{\Gamma(k+r)}{k!\, \Gamma(r)}(1-p)^k p^r $$
$$P(y=k ; r,p) = {k+r-1 \choose k} (1-p)^k p^r $$

*Section 4.3.2, p 73* Parenthesis are missing in the formula for the variance of the generalized Poisson distribution:
$${\rm var}(y) = \frac{\lambda}{(1-\delta)^3}$$

*Section 4.5.4, p 91*
The correct formula for the Gompertz hazard function is
$$
h(t,\psi_i) = b_i \, \eta_i \, e^{b_i \, t}
$$

*Section 4.6.5, p 101*
Model 1: the Mlxtran code for

*R* is

`R = S0 + Emax*C/(EC50+C)`,

Model 2: it should be

`ke` instead of

`\ke` in the Mlxtran code

**Chapter 5**

*Section 5.2.1, p 105 *
Figure 5.1: the vertical color bar on the right should have different shades of grey.

Here is the right figure.

*Section 5.2.2, p 107 *
The parameters of the distribution of

\( \log(\psi) \)
should be its mean and its variance

\( \omega^2 \)
(instead of the standard deviation

\( \omega \))
$$
\log(\psi) \sim N(\mu, \omega^2)
$$

*Section 5.3.2, p 115 *
Figure 5.7 is wrong.

Here is the right one.
Then, the last comment concerning example 5.2 should be
"Notice that the two proposed covariate models give similar predictions for well chosen values of

\( \beta \)".

*Section 5.3.4, p 119 *
The definition of the indicator function is missing:
"with

\( \beta_{k^*} = 0 \) and where

\( 1 \) is the indicator function
(

\( 1_A = 1 \) if

*A* is true, 0 otherwise).

*Section 5.3.5, p 121 *
In the Mlxtran code

`covariate1_model.txt`,
the distribution of

*V* and

*Cl* should be log-normal (instead of normal):

`
V = {distribution=lognormal, reference=V_pop, sd=omega_V, covariate=lw70, coefficient=beta_V} `

Cl = {distribution=lognormal, reference=Cl_pop, sd=omega_Cl, covariate={lw70,gender}, coefficient={beta1_Cl, beta2_Cl}}

**Chapter 6**

*Section 6.1.3, p 145 *
Figures 6.2 and 6.3: the vertical color bars on the right should have different shades of grey.
Here are the right

Figure 6.2 and

Figure 6.3.

**Chapter 7**

*Section 7.2.4*
Results presented in the Table page 177 and in Figure 7.4 page 178 were obtained with

\( \gamma = (0, 0.02, 0.04, 0.1, 0.3, +\infty) \)
*Section 7.3.2.2*
Figure 7.7, p 184: x-labels and y-labels are inverted
(x-labels should be predictions and y-labels should be observations).

p 185,

*Individual weighted residuals*: a subscript

*i* is missing in the correlation matrix

\( \hat{R}_i \).

*Section 7.3.4, p199*
Results presented in the book with models M2 and M3 were obtained assuming a residual error model of the form

\(
y= f + a\,e_1+b\,f\,e_2
\),
and not of the form

\(
y = f + (a+b\,f)e
\).

Download

dataAndCodes.zip and run the Monolix projects

`warfarinPK_M2a, warfarinPK_M3a, warfarinPK_M2b` and

`warfarinPK_M3b` to see the results obtained with both residual error models.

**Chapter 9**

*Section 9.2.3, p 240*
Item 4. (MCEM): the reference (Fort and Moulines, 2003) is missing.

*Section 9.5.1, p 265*
Figure 9.11 (a): y-tick labels should be (14385, 14386, 14387, 14388, 14389)

**Appendix B**

*Equation (B.2), p 297*
A "-" before the sum is missing in the second line.

**Appendix C**

*Model 3, p 309*
the list of inputs is:

` input = {F0, Tk0, ka, V, Cl)`
`elimination(cmt=1, Cl)` should be replaced by

`elimination(cmt=1, k=Cl/V)`.

**Appendix D**

*tumor2_simulx.R, p 322 and tumor3_simulx.R, p 323*
"

`administration`" is a deprecated syntax. It should be replaced by "

`treatment`".

**Bibliography**

Reference "O'Connell and Krause" should be "Krause and O'Connell" (my humblest apologies to the authors!)