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Confidence and Prediction in Linear Mixed Models: Do Not Concatenate the Random Effects. Application in an Assay Qualification Study
- Source :
- Statistics in Biopharmaceutical Research. 12:262-272
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- –In the pharmaceutical industry, all analytical methods must be shown to deliver unbiased and precise results. In an assay qualification or validation study, the trueness, accuracy, and int...
- Subjects :
- Statistics and Probability
Mixed model
Validation study
Computer science
Pharmaceutical Science
Prediction interval
Random effects model
computer.software_genre
01 natural sciences
Generalized linear mixed model
010104 statistics & probability
03 medical and health sciences
0302 clinical medicine
030212 general & internal medicine
Data mining
0101 mathematics
computer
Subjects
Details
- ISSN :
- 19466315
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Statistics in Biopharmaceutical Research
- Accession number :
- edsair.doi...........82b5fca214f1a9d10ca8f31f22b16f94
- Full Text :
- https://doi.org/10.1080/19466315.2020.1776762