Table 1.
Statistics | Model | Dose-response, P(D) | Dose-volume response, P(D,V) | Inherent model parameters | D50 / Gy | γ50 | ||||
---|---|---|---|---|---|---|---|---|---|---|
Binomial | Critial volume | (1−e−D/D0)N0 |
|
D0, N0, M, N | −D0 ln(1−(M/N)1/N0) | Implicit | ||||
Relative seriality |
|
|
D0, N0, s | D0(ln N0−ln ln 2) |
|
|||||
Poisson | Inverse tumor |
|
|
D0, N0, k | D0(ln N0−ln ln 2) |
|
||||
Critical element |
|
|
D0, N0 | D0(ln N0−ln ln 2) |
|
|||||
Probit | Lyman |
|
|
D50, m, n | D50 |
|
||||
Logit | Parallel architecture |
|
|
D50, k, v50, σ |
|
k/4 | ||||
Weibull | Weibull distribution |
|
|
A1, b, A2 |
|
|
||||
Binomial | Critial volume | (1−e−D/D0)N0 |
|
D0, N0, M, N | −D0 ln(1−(M/N)1/N0) | Implicit | ||||
Relative seriality |
|
|
D0, N0, s | D0(ln N0−ln ln 2) |
|
|||||
Poisson | Inverse tumor |
|
|
D0, N0, k | D0(ln N0−ln ln 2) |
|
||||
Critical element |
|
|
D0, N0 | D0(ln N0−ln ln 2) |
|
|||||
Probit | Lyman |
|
|
D50, m, n | D50 |
|
||||
Logit | Parallel architecture |
|
|
D50, k, v50, σ |
|
k/4 | ||||
Weibull | Weibull distribution |
|
|
A1, b, A2 |
|
|
; ‖ t is given by equation (19)