Items where Author is "Atkinson, Anthony C."
Number of items: 60.
Article
Compound optimum designs for clinical trials in personalized medicine. (2024)
Duarte, Belmiro P. M. and Atkinson, Anthony C. and Pedrosa, David and van Munster, Marlena
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Automatic robust Box-Cox and extended Yeo-Johnson transformations in regression.
Riani, Marco and Atkinson, Anthony C. and Corbellini, Aldo
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Benchmark testing of algorithms for very robust regression: FS, LMS and LTS.
Torti, Francesca and Perrotta, Domenico and Atkinson, Anthony C. and Riani, Marco
Bias and loss: the two sides of a biased coin.
Atkinson, Anthony C.
Cluster detection and clustering with random start forward searches.
Atkinson, Anthony C. and Riani, Marco and Cerioli, Andrea
Commentary on 'Designs for dose-escalation trials with quantitative responses'.
Atkinson, Anthony C.
Compound optimal design of experiments -- semidefinite programming formulations.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and Oliveira, Nuno M.C
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Computing least trimmed squares regression with the forward search.
Atkinson, Anthony C. and Cheng, T.-C.
Controlling the size of multivariate outlier tests with the MCD estimator of scatter.
Cerioli, Andrea and Riani, Marco and Atkinson, Anthony C.
Discussion of “asymptotic theory of outlier detection algorithms for linear time series regression models” by Johansen and Nielsen.
Atkinson, Anthony C. and Cerioli, Andrea and Riani, Marco
Econometric applications of the forward search in regression: robustness, diagnostics, and graphics.
Atkinson, Anthony C.
Efficient robust methods via monitoring for clustering and multivariate data analysis.
Riani, Marco and Atkinson, Anthony C. and Cerioli, Andrea and Corbellini, Aldo
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Finding an unknown number of multivariate outliers.
Riani, Marco and Atkinson, Anthony C. and Cerioli, Andrea
Information criteria for outlier detection avoiding arbitrary significance levels.
Riani, Marco and Atkinson, Anthony C. and Corbellini, Aldo and Farcomeni, Alessio and Laurini, Fabrizio
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Monitoring robust regression.
Riani, Marco and Cerioli, Andrea and Atkinson, Anthony C. and Perrotta, Domenico
Multiresponse optimization with consideration of probabilistic covariates.
Hejazi, T. H. and Bashiri, Mahdi and Noghondarian, Kazem and Atkinson, Anthony C.
On robust linear regression with incomplete data.
Atkinson, Anthony C. and Cheng, Tsung-Chi
One hundred years of the design of experiments on and off the pages of "Biometrika".
Atkinson, Anthony C. and Bailey, R. A.
Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union tests.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and P. Singh, Satya and S. Reis, Marco
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Optimal design of experiments for implicit models.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and Granjo, Jose F.O and Oliveira, Nuno M.C
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Optimal design of experiments for liquid–liquid equilibria characterization via semidefinite programming.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and Granjo, Jose F.O and Oliveira, Nuno M.C
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Optimal design of mixture experiments for general blending models.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and Granjo, José F.O. and Oliveira, Nuno M.C.
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Optimal designs for dose-escalation trials and individual allocations in cohorts.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and Oliveira, Nuno M.C
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Optimal designs for efficacy-toxicity response in dose finding studies using the bivariate probit model.
Duarte, Belmiro P.M. and Atkinson, Anthony C.
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Optimal experimental design for linear time invariant state–space models.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and Oliveira, Nuno M.C
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Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses.
Atkinson, Anthony C. and Biswas, Atanu
Optimum design for ill-conditioned models:K–optimality and stable parameterizations.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and Oliveira, Nuno M.C.
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Optimum design of experiments for enzyme inhibition kinetic models.
Bogacka, Barbara and Patan, Maciej and Johnson, Patrick, J and Youdim, K and Atkinson, Anthony C.
Optimum designs for clinical trials in personalized medicine when response variance depends on treatment.
Duarte, Belmiro P.M. and Atkinson, Anthony C.
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Optimum designs for the equality of parameters in enzyme inhibition kinetic models.
Atkinson, Anthony C. and Bogacka, Barbara
Optimum experimental designs for choosing between competitive and non competitive models of enzyme inhibition.
Atkinson, Anthony C.
Optimum experimental designs for multinomial logistic models.
Atkinson, Anthony C. and Zocchi, S. S.
Randomizing a clinical trial in neuro-degenerative disease.
Atkinson, Anthony C. and Duarte, Belmiro P.M. and Pedrosa, David and van Munster, Marlena
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Regression analysis with partially labelled regressors: carbon dating of the Shroud of Turin.
Riani, Marco and Atkinson, Anthony C. and Fanti, Giulio and Crosilla, Fabio
Regression diagnostics for binomial data from the forward search.
Atkinson, Anthony C. and Riani, Marco
Rejoinder to the discussion of “The power of monitoring how to make the most of a contaminated multivariate sample”.
Cerioli, Andrea and Riani, Marco and Atkinson, Anthony C. and Corbellini, Aldo
Reply to discussion of “the forward search: theory and data analysis”.
Atkinson, Anthony C. and Riani, Marco and Cerioli, Andrea
Robust Bayesian regression with the forward search: theory and data analysis.
Atkinson, Anthony C. and Corbellini, Aldo and Riani, Marco
Robust Tobit regression for censored observations using extended Box-Cox Transformations.
Riani, Marco and Atkinson, Anthony C. and Corbellini, Aldo and Morelli, Gianluca
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Robust correspondence analysis.
Riani, Marco and Atkinson, Anthony C. and Torti, Francesca and Corbellini, Aldo
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Robust diagnostic data analysis: transformations in regression.
Riani, Marco and Atkinson, Anthony C.
Robust model selection with flexible trimming.
Riani, Marco and Atkinson, Anthony C.
Robust regression with density power divergence:theory, comparisons, and data analysis.
Riani, Marco and Atkinson, Anthony C. and Corbellini, Aldo and Perrotta, Domenico
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Robust transformations for multiple regression via additivity and variance stabilization.
Riani, Marco and Atkinson, Anthony C. and Corbellini, Aldo
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Selecting a biased-coin design.
Atkinson, Anthony C.
Statistical and proactive analysis of an inter-laboratory comparison:the radiocarbon dating of the Shroud of Turin.
Di Lazzaro, Paolo and Atkinson, Anthony C. and Iacomussi, Paola and Riani, Marco and Ricci, Marco and Wadhams, Peter
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Using hierarchical information-theoretic criteria to optimize subsampling of extensive datasets.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and Oliveira, Nuno M.C.
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The analysis of transformations for profit-and-loss data.
Atkinson, Anthony C. and Riani, Marco and Corbellini, Aldo
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The box-cox transformation:review and extensions.
Atkinson, Anthony C. and Riani, Marco and Corbellini, Aldo
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A conversation with Professor Tadeusz Caliński.
Atkinson, Anthony C. and Bogacka, Barbara
The forward search: theory and data analysis.
Atkinson, Anthony C. and Riani, Marco and Cerioli, Andrea
fsdaSAS:a package for robust regression for very large datasets including the batch forward search.
Torti, Francesca and Corbellini, Aldo and Atkinson, Anthony C.
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A goal programming-TOPSIS approach to multiple response optimization using the concepts of non-dominated solutions and prediction intervals.
Ramezani, Majid and Bashiri, Mahdi and Atkinson, Anthony C.
A model-based framework assisting the design of vapor-liquid equilibrium experimental plans.
Duarte, Belmiro P.M. and Atkinson, Anthony C. and Granjo, Jose F.O and Oliveira, Nuno M.C
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The power of monitoring: how to make the most of a contaminated multivariate sample.
Cerioli, Andrea and Riani, Marco and Atkinson, Anthony C. and Corbellini, Aldo
A unified approach to outliers, influence and transformations in discriminant analysis.
Riani, Marco and Atkinson, Anthony C.
The use of modern robust regression analysis with graphics:an example from marketing.
Riani, Marco and Atkinson, Anthony C. and Morelli, Gianluca and Corbellini, Aldo
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The use of prior information in very robust regression for fraud detection.
Riani, Marco and Corbellini, Aldo and Atkinson, Anthony C.
