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The ICH Q8 Definition of Design Space: A Comparison of the Overlapping Means and the Bayesian Predictive Approaches
9 references·2 citing·32 second hop
The ICH Q8 Definition of Design Space: A Comparison of the Overlapping Means and the Bayesian Predictive Approaches (2010)The ICH Q8 Definition of Design Space: A …A Bayesian Reliability Approach to Multiple Response Optimization with Seemingly Unrelated Regression Models (2009)A Bayesian Reliability Approa…Defining Process Design Space for Biotech Products: Case Study of Pichia pastoris Fermentation (2008)Defining Process Design Space…A Bayesian Approach to the ICH Q8 Definition of Design Space (2008)A Bayesian Approach to the IC…A Posterior Predictive Approach to Multiple Response Surface Optimization (2004)A Posterior Predictive Approa…Analyzing Experiments with Correlated Multiple Responses (2001)Analyzing Experiments with Co…A General Multivariate Bayesian Process Capability Index (1996)A General Multivariate Bayesi…Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …Multiple response surface methods in computer simulation (1977)Multiple response surface met…Extreme Vertices Design of Mixture Experiments (1966)Extreme Vertices Design of Mi…Probabilistic Design space determination in pharmaceutical product development: A Bayesian/latent variable approach (2018)Probabilistic Design space de…A Bayesian Design Space for Analytical Methods Based on Multivariate Models and Predictions (2013)A Bayesian Design Space for A…Applied Statistical Decision Theory (1962)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)Statistics for Experimenters (1979)Optimization of Correlated Multiple Quality Characteristics Using Desirability Function (2004)Introduction to Quality Engineering (2008)Response Surface Techniques for Dual Response Systems (1973)Design and Analysis of Experiments. (1977)Regression Metamodels for Generalizing Simulation Results (1979)Multi-objective simulation optimization for a cancer treatment center (2002)Response Surface Methodology (2004)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)Experiments with Mixtures (1958)The Simplex-Centroid Design for Experiments with Mixtures (1963)Mixture design—design generation, PLS analysis, and model usage (1998)Design of experiments applied to lithium-ion batteries: A literature review (2022)Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions (1981)Robust Bayesian hierarchical modeling and inference using scale mixtures of normal distributions (2021)Out of the Crisis (1982)A New Measure of Process Capability:Cpm (1988)Process Capability Indices. (1995)Multivariate process capability a bayesian perspective (2000)A Bayesian Design Space Approach to Robustness and System Suitability for Pharmaceutical Assays and Other Processes (2009)The development of a target‐focused process capability index with multiple characteristics (2010)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Response surface methodology (2010)Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)Integrated hazard identification within the risk management of industrial biological processes (2017)
this work references cited by second hop

References

  • 1980Simultaneous Optimization of Several Response Variables5,233 cited
  • 1966Extreme Vertices Design of Mixture Experiments257 cited
  • 2001Analyzing Experiments with Correlated Multiple Responses155 cited
  • 2008A Bayesian Approach to the ICH Q8 Definition of Design Space141 cited
  • 2004A Posterior Predictive Approach to Multiple Response Surface Optimization139 cited
  • 2008Defining Process Design Space for Biotech Products: Case Study of Pichia pastoris Fermentation101 cited
  • 1977Multiple response surface methods in computer simulation89 cited
  • 2009A Bayesian Reliability Approach to Multiple Response Optimization with Seemingly Unrelated Regression Models63 cited
  • 1996A General Multivariate Bayesian Process Capability Index37 cited

Cited by

  • 2013A Bayesian Design Space for Analytical Methods Based on Multivariate Models and Predictions40 cited
  • 2018Probabilistic Design space determination in pharmaceutical product development: A Bayesian/latent variable approach35 cited

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