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Probabilistic Design space determination in pharmaceutical product development: A Bayesian/latent variable approach
10 references·1 citing·29 second hop
Probabilistic Design space determination in pharmaceutical product development: A Bayesian/latent variable approach (2018)Probabilistic Design space determination …Bracketing the Design Space within the Knowledge Space in Pharmaceutical Product Development (2015)Bracketing the Design Space w…A Bayesian Design Space for Analytical Methods Based on Multivariate Models and Predictions (2013)A Bayesian Design Space for A…The ICH Q8 Definition of Design Space: A Comparison of the Overlapping Means and the Bayesian Predictive Approaches (2010)The ICH Q8 Definition of Desi…Finding Design Space and a Reliable Operating Region Using a Multivariate Bayesian Approach with Experimental Design (2009)Finding Design Space and a Re…A Bayesian Approach to the ICH Q8 Definition of Design Space (2008)A Bayesian Approach to the IC…Efficient Nearly Orthogonal and Space-Filling Latin Hypercubes (2007)Efficient Nearly Orthogonal a…A Posterior Predictive Approach to Multiple Response Surface Optimization (2004)A Posterior Predictive Approa…Multivariate Control Charts for Individual Observations (1992)Multivariate Control Charts f…Computer Aided Design of Experiments (1969)Computer Aided Design of Expe…The Application of Electronic Computers to Factor Analysis (1960)The Application of Electronic…The role of process systems engineering in applying quality by design (QbD) in mesenchymal stem cell production (2023)The role of process systems e…Applied Statistical Decision Theory (1962)Simultaneous Optimization of Several Response Variables (1980)Response Surfaces: Designs and Analyses (1997)A robust desirability function method for multi-response surface optimization considering model uncertainty (2012)A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability (2015)Industrial Quality Control. (1946)Robust Parameter Design: A Review (2003)Statistics in Pharmaceutical Development and Manufacturing (2009)An Optimization-Based Framework to Define the Probabilistic Design Space of Pharmaceutical Processes with Model Uncertainty (2019)STATISTICS FOR SPATIAL DATA (1992)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)An algorithm for fast optimal Latin hypercube design of experiments (2009)Latin hypercube sampling with multidimensional uniformity (2011)A Tutorial on Latin Hypercube Design of Experiments (2015)Extreme Vertices Design of Mixture Experiments (1966)Analyzing Experiments with Correlated Multiple Responses (2001)Introduction to Statistical Quality Control (1992)Decomposition of T 2 for Multivariate Control Chart Interpretation (1995)Kollár Ádám Ferenc levelezése (2000)On-Line Monitoring When the Process Yields a Linear Profile (2000)A Bayesian Reliability Approach to Multiple Response Optimization with Seemingly Unrelated Regression Models (2009)Uniform Shell Designs (1970)Model-based design of experiments for parameter precision: State of the art (2007)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)The Scree Test For The Number Of Factors (1966)A Second Generation Little Jiffy (1970)Evaluating the use of exploratory factor analysis in psychological research. (1999)A novel and systematic approach to identify the design space of pharmaceutical processes (2018)
this work references cited by second hop

References

  • 1960The Application of Electronic Computers to Factor Analysis12,390 cited
  • 1969Computer Aided Design of Experiments3,666 cited
  • 1992Multivariate Control Charts for Individual Observations600 cited
  • 2007Efficient Nearly Orthogonal and Space-Filling Latin Hypercubes323 cited
  • 2008A Bayesian Approach to the ICH Q8 Definition of Design Space141 cited
  • 2004A Posterior Predictive Approach to Multiple Response Surface Optimization139 cited
  • 2010The ICH Q8 Definition of Design Space: A Comparison of the Overlapping Means and the Bayesian Predictive Approaches44 cited
  • 2015Bracketing the Design Space within the Knowledge Space in Pharmaceutical Product Development43 cited
  • 2013A Bayesian Design Space for Analytical Methods Based on Multivariate Models and Predictions40 cited
  • 2009Finding Design Space and a Reliable Operating Region Using a Multivariate Bayesian Approach with Experimental Design38 cited

Cited by

  • 2023The role of process systems engineering in applying quality by design (QbD) in mesenchymal stem cell production9 cited

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