ed50simulation (version 0.1.1)

estimate: Estimate ED50

Description

Estimate 50 percent effective dose using different methods.

Usage

estimate(doseSequence, doseResponse, confidence = 0.95,
  method = c("Dixon-Mood", "Choi", "ModTurPoint", "Logistic",
  "Isotonic"), tpCiScale = 1, boot.n = 2000)

Arguments

doseSequence

A sequence of doses given in order

doseResponse

A sequence of response results shown in order

confidence

The confidence level of interval estimate

method

The method used to estimate ED50, there are five methods here, respectively Dixon-Mood, Choi (Choi's Original Turning Point), ModTurPoint (Modified Turning Point), Logistic (Logistic Regression) and Isotonic (Isotonic Regression). The defaut is Dixon-Mood.

tpCiScale

The scale level to enlarge the confidence interval estimated by Modified Turning Point Method. The default value is 1.

boot.n

The number of boot process if Logistic method is chosen to estimate ED50.

Value

A list of estimation result consisting of method of estimation, ED50 estimate, standard error of ED50 estimate, confidence level and estimate of confidence interval. The return value of the function is a list consisting of the method used Method of Estimation', the estimation of the ed50 value'Estimate of ED50', the standard error of the estimation'Standard Error of Estimate', the confidence level 'Confidence Level' and the lower and the upper bound of the confidence interval 'Lower Bound'& 'Upper Bound'. For Dixon-Mood estimation, the value of the parameter G will also be given as 'Value of Parameter G' in the list.

References

Dixon, W. J., & Mood, A. M. (1948) <doi:10.1080/01621459.1948.10483254>. A method for obtaining and analyzing sensitivity data. Publications of the American Statistical Association, 43(241), 109-126. Choi, S. C. (1990)<doi:10.2307/2531453>. Interval estimation of the ld50based on an up-and-down experiment. Biometrics, 46(2), 485-492. Pace, N. L., & Stylianou, M. P. (2007)<doi:10.1097/01.anes.0000267514.42592.2a>. Advances in and limitations of up-and-down methodology: a precis of clinical use, study design, and dose estimation in anesthesia research. Anesthesiology, 107(1), 144-52.

Examples

# NOT RUN {
library(ed50simulation)
estimate(groupS$doseSequence, groupS$responseSequence, method = 'Dixon-Mood')
estimate(groupS$doseSequence, groupS$responseSequence, method = 'Logistic', boot.n = 1000)
# }