2010
DOI: 10.1016/j.ijpharm.2009.12.034
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Multivariate optimization of formulation and process variables influencing physico-mechanical characteristics of site-specific release isoniazid pellets

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Cited by 28 publications
(17 citation statements)
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“…The low magnitudes of the bias values indicated a reasonable agreement between the predicted and the experimental values. It also indicated the robustness and high degree of predictive power of the generated quantitative mathematical models [21][22][23] . From the results obtained, it could be concluded that the generated Eqns.…”
Section: Table 5: All Responses Y1 To Y3 Along With Percent Error Formentioning
confidence: 88%
“…The low magnitudes of the bias values indicated a reasonable agreement between the predicted and the experimental values. It also indicated the robustness and high degree of predictive power of the generated quantitative mathematical models [21][22][23] . From the results obtained, it could be concluded that the generated Eqns.…”
Section: Table 5: All Responses Y1 To Y3 Along With Percent Error Formentioning
confidence: 88%
“…At least 20 pellets from the usable yield fraction of each formulation were evaluated for their diametrical crushing force using a tablet strength tester (Electrolab EH 01) [8].…”
Section: Mechanical Crushing Forcementioning
confidence: 99%
“…In addition, graphical analysis by Lenth's method shows that changes of levels that are active on response correspond to bars that exceed the dotted vertical lines, which signify experimental error and give the important factors to be selected ( Figures 3A and 3B). [24][25][26] Bayesian analysis of coefficients was also carried out ( Figures 3C and 3D). This was an a posteriori calculation of the probability that each of the effects is active and is represented graphically as box plots.…”
Section: Factorial Designmentioning
confidence: 99%