ssize.reference.range {MKpower} | R Documentation |
Power Calculations for Two-sample Hsu t Test
Description
Compute the sample size for reference range studies, or determine parameters for a given sample size; see Jennen-Steinmetz and Wellek (2005).
Usage
ssize.reference.range(n = NULL, delta = NULL, ref.prob = 0.95, conf.prob = NULL,
alternative = c("two.sided", "one.sided"),
method = "parametric", exact = TRUE,
tol = .Machine$double.eps^0.5)
Arguments
n |
number of observations |
delta |
difference between empirical and target coverage of reference range |
ref.prob |
target coverage of reference range |
conf.prob |
confidence probability to acchieve given difference between empirical and target coverage |
alternative |
a character string specifying |
method |
either |
exact |
use exact or approximate method |
tol |
numerical tolerance used in root finding, the default providing (at least) eight significant digits. |
Details
Exactly one of the parameters n
, delta
, ref.prob
and conf.prob
must be passed as NULL
, and that parameter is
determined from the others. In case of ref.prob
NULL
must be explicitly
passed if you want to compute it.
If method "parametric"
a normal distribution is assumed for the investigated
quantity.
If method "nonparametric"
an arbitrary continuous probability distribution
is assumed.
If exact = TRUE
is used, the computations use the exact formulas (5)
and (9) of Jennen-Steinmetz and Wellek (2005).
If exact = FALSE
is used, the computations use the approximate formulas (6)
and (10) of Jennen-Steinmetz and Wellek (2005).
Value
Object of class "power.htest"
, a list of the arguments
(including the computed one) augmented with method
and
note
elements.
Note
uniroot
is used to solve the equations for unknowns, so
you may see errors from it, notably about inability to bracket the
root when invalid arguments are given.
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
References
C. Jennen-Steinmetz, S. Wellek (2005). A new approach to sample size calculation for reference interval studies. Statistics in Medicine 24:3199-3212.
See Also
Examples
## see Table 1 in Jennen-Steinmetz and Wellek (2005)
ssize.reference.range(delta = 0.03, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = TRUE)
## 135 vs 125 (error in Table 1)
ssize.reference.range(delta = 0.03, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.03, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.03, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
ssize.reference.range(delta = 0.025, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = TRUE)
ssize.reference.range(delta = 0.025, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.025, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.025, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
ssize.reference.range(delta = 0.02, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = TRUE)
## 314 vs. 305 (error Table 1?)
ssize.reference.range(delta = 0.02, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.02, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.02, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
ssize.reference.range(delta = 0.015, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = TRUE)
ssize.reference.range(delta = 0.015, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.015, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.015, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
ssize.reference.range(delta = 0.01, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = TRUE)
ssize.reference.range(delta = 0.01, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.01, ref.prob = 0.9, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.01, ref.prob = 0.9, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
ssize.reference.range(delta = 0.015, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = TRUE)
ssize.reference.range(delta = 0.015, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.015, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.015, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
ssize.reference.range(delta = 0.0125, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = TRUE)
ssize.reference.range(delta = 0.0125, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.0125, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.0125, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
ssize.reference.range(delta = 0.01, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = TRUE)
ssize.reference.range(delta = 0.01, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.01, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.01, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
ssize.reference.range(delta = 0.0075, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = TRUE)
ssize.reference.range(delta = 0.0075, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.0075, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.0075, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
ssize.reference.range(delta = 0.005, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = TRUE)
ssize.reference.range(delta = 0.005, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = TRUE)
ssize.reference.range(delta = 0.005, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = FALSE)
ssize.reference.range(delta = 0.005, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = FALSE)
## results are equivalent to one-sided reference range with coverage of
## 95 percent instead of 90 percent; for example
ssize.reference.range(delta = 0.03, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = TRUE, alternative = "one.sided")
## 135 vs 125 (error in Table 1)
ssize.reference.range(delta = 0.03, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = TRUE, alternative = "one.sided")
ssize.reference.range(delta = 0.03, ref.prob = 0.95, conf.prob = 0.9,
method = "parametric", exact = FALSE, alternative = "one.sided")
ssize.reference.range(delta = 0.03, ref.prob = 0.95, conf.prob = 0.9,
method = "nonparametric", exact = FALSE, alternative = "one.sided")