Description Usage Arguments Details Value Examples
A function to generate toxicity probability matrices employing proportional odds model, used as input for trial simulation. The generated matrices are a four-dimension array containing the probabilities of the occurrences of certain grades for certain types of toxicities, at each dose level and cycle under consideration. Dimension 1 refers to doses; dimension 2 corresponds to cycles of the treatment; dimension 3 regards the types of toxicities while dimenion 4 relates to grades.
1 2 3 4 | GenToxProb(toxtype = c("Neurological", "Renal", "Hematological"),
intercept.alpha = c(2, 3, 4.2, 5.7),
coef.beta = c(-0.2, -0.4, -0.7),
cycle.gamma = 0, MaxCycle = 6, Numdose = 6)
|
toxtype |
A character vector, specifying toxicity types considered in the trial. |
intercept.alpha |
A four element numeric vector specifying the intercepts for the cumulative probabilities of the occurrences of grades 0-4 of toxicities in proportional odds model. See Details below. |
coef.beta |
A n numeric vector specifying the slope for dose in proportional odds model for n types of toxicities. See Details below. |
cycle.gamma |
A scalar controlling the cycle effect in simulation in proportional odds model. See Details below. |
MaxCycle |
Maximum of number of cycles of the treatment. |
Numdose |
The number of doses under investigation. |
The probability matrices of the occurrences of certain grades for certain types of toxicities, at each dose level and cycle are simulated from a proportional odds model that takes toxtype
, intercept.alpha
, coef.beta
and cycle.gamma
as the inputs. The model is as follows:
logit(c_j) = α_j + β * dose + γ * cycle, j=0,1,2,3
where given a dose and cycle, c_j is the cumulative probabilities of occurrences of toxicities grades up to j; α_0, α_1, α_2, α_3 are the intercepts, making up intercept.alpha
; coef.beta
stores β for different types of toxicities while cycle.gamma
acts as γ, controlling the cycle effect. The probability for the occurrence of a certain grade of a certain toxicity type at a given dose and cycle is obtained from taking the corresponding differences between cumulative probabilities.
A four-dimension array where dimension 1 refers to doses; dimension 2 corresponds to cycles of the treatment; dimension 3 regards the types of toxicities while dimenion 4 relates to grades.
1 | #tox.matrix <- GenToxProb()
|
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