Literature DB >> 8866841

Calculating percentage prediction error: a user's note.

G Wu1, M Baraldo, M Furlanut.   

Abstract

The equations of calculation of percentage prediction error (percentage prediction error = [equation: see text] x 100 or percentage prediction error = [equation: see text] x 100) and similar equations have been widely used. However, not much is known about the property of this type of equation and the caution which should be taken into account when using this type of equation. Moreover, little is known about the power of percentage prediction error as statistical inference. In the present study we address these points in the use of this type of equation.

Mesh:

Year:  1995        PMID: 8866841     DOI: 10.1016/s1043-6618(05)80029-5

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  10 in total

1.  Squared correlation coefficient of measured values versus predicted values in linear and monoexponential regressions.

Authors:  Guang Wu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2002 Apr-Jun       Impact factor: 2.441

2.  An extremely strange observation on the equations for calculation of correlation coefficient.

Authors:  Guang Wu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2003 Apr-Jun       Impact factor: 2.441

3.  Interethnic scaling of fraction unbound of a drug in plasma and volume of distribution: an analysis of extrapolation from Caucasians to Chinese.

Authors:  Guo Yu; Hong-Hao Zhou; Qing-Shan Zheng; Guo-Fu Li
Journal:  Eur J Clin Pharmacol       Date:  2018-12-19       Impact factor: 2.953

4.  Model-Informed Therapeutic Drug Monitoring of Meropenem in Critically Ill Patients: Improvement of the Predictive Ability of Literature Models with the PRIOR Approach.

Authors:  Anna Chan Kwong; Amaury O'Jeanson; Sonia Khier
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2021-04-08       Impact factor: 2.441

5.  Physiologically Based Pharmacokinetic Modeling of Renally Cleared Drugs in Pregnant Women.

Authors:  André Dallmann; Ibrahim Ince; Juri Solodenko; Michaela Meyer; Stefan Willmann; Thomas Eissing; Georg Hempel
Journal:  Clin Pharmacokinet       Date:  2017-12       Impact factor: 6.447

6.  A physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) model of the histone deacetylase (HDAC) inhibitor vorinostat for pediatric and adult patients and its application for dose specification.

Authors:  Daniel Moj; Hannah Britz; Jürgen Burhenne; Clinton F Stewart; Gerlinde Egerer; Walter E Haefeli; Thorsten Lehr
Journal:  Cancer Chemother Pharmacol       Date:  2017-10-07       Impact factor: 3.333

7.  Individual and population pharmacokinetic compartment analysis: a graphic procedure for quantification of predictive performance.

Authors:  Staffan Eksborg
Journal:  J Drug Assess       Date:  2013-09-03

8.  Physiologically based pharmacokinetic evaluation of cefuroxime in perioperative antibiotic prophylaxis.

Authors:  Christer Rimmler; Christian Lanckohr; Ceren Akamp; Dagmar Horn; Manfred Fobker; Karsten Wiebe; Bassam Redwan; Bjoern Ellger; Robin Koeck; Georg Hempel
Journal:  Br J Clin Pharmacol       Date:  2019-12-15       Impact factor: 4.335

9.  Model Re-Estimation: An Alternative for Poor Predictive Performance during External Evaluations? Example of Gentamicin in Critically Ill Patients.

Authors:  Alexandre Duong; Chantale Simard; David Williamson; Amélie Marsot
Journal:  Pharmaceutics       Date:  2022-07-07       Impact factor: 6.525

10.  Quality by design approach for development and validation of a RP-HPLC method for simultaneous estimation of xipamide and valsartan in human plasma.

Authors:  Mahmoud M Sebaiy; Sobhy M El-Adl; Mohamed M Baraka; Amira A Hassan; Heba M El-Sayed
Journal:  BMC Chem       Date:  2022-09-20
  10 in total

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