2000
DOI: 10.1023/a:1026451721686
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Abstract: The proposed method enhances the information from a clinical dose-proportionality study and helps to standardize decision rules.

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Cited by 319 publications
(87 citation statements)
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“…Coefficients of determination (R 2 values), and 95% confidence limits were determined from the power regression analysis. Results were considered linear when R 2 was ∼1, and lower confidence limits were ≥0.8 and upper confidence limits were ≤1.25 (Smith et al, 2000). For the cellular assays, triplicate wells were run for each experiment.…”
Section: Methodsmentioning
confidence: 99%
“…Coefficients of determination (R 2 values), and 95% confidence limits were determined from the power regression analysis. Results were considered linear when R 2 was ∼1, and lower confidence limits were ≥0.8 and upper confidence limits were ≤1.25 (Smith et al, 2000). For the cellular assays, triplicate wells were run for each experiment.…”
Section: Methodsmentioning
confidence: 99%
“…The estimate of the exponent ␤ and its 90% CI values were determined, using this linear model of log-transformed pharmacokinetic parameters and log dose. Dose proportionality was concluded if the 90% CI interval for ␤ (slope estimate) was completely contained within the prespecified critical region (0.943 to 1.057) (11).…”
Section: Methodsmentioning
confidence: 99%
“…A point estimate and 90% confidence interval (CI) were produced for the population mean slope. Approximate dose proportionality was to be concluded when the 90% CI for the slope was completely within the interval of 0.82 to 1.18 [1 ϩ log(0.5)/log(r), 1 ϩ log(2)/log(r)], where r is either C max or AUC of the highest dose/lowest dose (13).…”
Section: Methodsmentioning
confidence: 99%