0000000000560471

AUTHOR

Yanbin Huang

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Statistical Analysis of a Method to Predict Drug–Polymer Miscibility

2015

In this study, a method proposed to predict drug-polymer miscibility from differential scanning calorimetry measurements was subjected to statistical analysis. The method is relatively fast and inexpensive and has gained popularity as a result of the increasing interest in the formulation of drugs as amorphous solid dispersions. However, it does not include a standard statistical assessment of the experimental uncertainty by means of a confidence interval. In addition, it applies a routine mathematical operation known as "transformation to linearity," which previously has been shown to be subject to a substantial bias. The statistical analysis performed in this present study revealed that t…

PolymersChemistry PharmaceuticalPharmaceutical Science02 engineering and technology030226 pharmacology & pharmacyMiscibility03 medical and health sciences0302 clinical medicineMinimum-variance unbiased estimatorPredictive Value of TestsStatisticsStatistical inferenceApplied mathematicsMathematicsCalorimetry Differential ScanningFelodipineTemperatureLinear modelEstimatorModels Theoretical021001 nanoscience & nanotechnologyConfidence intervalTransformation (function)Experimental uncertainty analysisPharmaceutical PreparationsSolubilityLinear ModelsThermodynamics0210 nano-technologyAlgorithmsJournal of Pharmaceutical Sciences
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