| Below is a sample of publications in the
literature. The list is by no means a comprehensive one - just a sample from
the literature for easy reference. |
|
| MONOGRAPHS ON OPTIMAL DESIGNS |
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Atkinson, A. C., Donev, A. N. (1992). Optimum Experimental
Designs. Oxford Science Publications.
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Berger, M. P. F., Wong, W. K. (2005). Applied Optimal
Designs. John Wiley and Sons.
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Chernoff, H. (1972). Sequential Analysis and Optimal
Design. CBMS-NSF Regional Conference Series in Applied Mathematics.
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Fedorov, V. V. (1972). Theory of Optimal Experiments.
Biometrika, 59, 697-698.
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Fedorov, V. V., Hackl, P. (1997). Model-Oriented Design of
Experiments. Lecture Notes in Statistics, 125.
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Flournoy, N., Rosengerber, W. F., Wong, W. K. (1998). New
Developments and Applications in Experimental Design. Institute of Mathematical
Statistics, Lecture Notes-Monograph Series Vol. 34.
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Kiefer, J. (1985). Jack Carl Kiefer Collected Papers III:
Design of Experiments. Springer-Verlag.
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Pazman, A. (1986). Foundations of Optimum Experimental
Design. D. Reidel Publishing Company.
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Pukelsheim, F. (1993). Optimal Design of Experiments. John
Wiley.
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Schwabe, R. (1996). Optimum Designs for Multi-Factor
Models. Lecture Notes in Statistics, Springer, 113.
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Silvey, S. D. (1980). Optimal Design. Chapman and Hall.
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| PAPERS |
|
|
| (i) Review Papers on Optimal Designs |
|
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Aigner, D. J. (1979). A Brief Introduction to the
Methodology of Optimal Experimental Design. Journal of Econometrics, 11, 7-26. |
|
Atkinson, A. C. (1996). The Usefulness of Optimum
Experimental Designs. Journal of the Royal Statistical Society, 58, 59-76. |
|
Chaloner, K., Verdnelli, I. (1995). Bayesian Experimental
Design: A Review. Statistical Science, 10, 237-304. |
|
Ford, I., Kitsos, C. P., Titterington, D. M. (1989). Recent
Advances in Nonlinear Experimental Design. Technometrics, 31, 49-60. |
|
Hill, D. H. (1978). A Review of Experimental Design
Procedures for Regression Model Discrimination. Technometrics, 20, 15-21. |
|
Wong, W. K., Lachenbruch, P. A. (1996). Designing Studies
for Dose Response. Statistics in Medicine, 15, 343-360. |
|
Wong, W. K. (1999). Recent Advances in Constrained Optimal
Design Strategies. Statistical Neerlandica, 53, 257-276. |
|
| (ii) Dose Reponse Models |
|
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Atkinson, A. C., Demetrio, C. G. B., Zocchi, S. (1995).
Optimum Dose Levels When Males and Females Differ in Response. Applied
Statistics, 44, 213-226. |
|
Biedermann, S., Dette, H., Zhu, W. (2006). Optimal Designs
for Dose-Response Models with Restricted Design Spaces. Journal of the American
Statistical Association, 101, 747-759. |
|
Fedorov, V. V., Leonov, S. L. (2001). Optimal Design for
Dose Response Experiments: a Model Oriented Approach. Drug Information Journal,
35, 1373-1383. |
|
Hoel, P. G., Jennrich. R. I. (1979). Optimal Designs for
Dose Response Experiments in Cancer Research. Biometrika, 66, 307-316. |
|
Khan, M. K., Khan, M. A. (1985). Selection of Optimal Dose.
Computers and Biomedical Research, 18, 193-203. |
|
Krewski, D , Kovar, J. (1982). Low-Dose Extrapolation Under
Single Parameter Dose Response Models. Communications in Statistics-Simulation
and Computation, 11, 27-46. |
|
Mugno, R., Zhu, W., Rosenberger, W. (2004). Adaptive Urn
Designs for Estimating Several Percentiles of a Dose-Response Curve. Statistics
in Medicine. 23, 2137-2150. |
|
Smith, D. M., Ridout, M. S. (2005). Algorithms for Finding
Locally and Bayesian Optimal Designs for Binary Dose-Response Models with
Control Mortality. Journal of Statistical Planning and Inference, 133, 463-478. |
|
Zhu, W., Wong, W. K. (2000). Multiple-Objective Designs in
a Dose Response Experiment. Journal of Biopharmaceutical Statistics, 10, 1-14. |
|
Zhu, W., Wong, W. K. (2000). Multiple-Objective Designs in
a Dose-Response Experiment. Journal of Biopharmaceutical Statistics, 10, 1-14. |
|
Zhu, W., Zeng, Q., Wong, W. K. (2000). Dual-Objective
Bayesian Optimal Designs for a Dose Ranging Study. Drug Information Journal,
34, 421-428. |
|
| (iii) Exponential and Related Models |
|
|
Atkinson, A. C., Chaloner, K., Herzberg, A. M , Juritz, J.
(1993). Optimum Experimental Designs for Properties of a Compartmental Model.
Biometrics, 49, 325-337. |
|
Biedermann, S., Dette, H. (2007). Optimal Discrimination
Designs for Exponential Regression Models. Journal of Statistical Planning and
Inference, 137, 2579-2592. |
|
Dette, H., Melas, V. B., Wong, W. K. (2006). Locally
D-Optimal Designs for Exponential Regression Models. Statistica Sinica, 16,
789-803. |
|
Fang, X., Hedayat, A. S. (2008). Locally D-optimal Designs
Based on a Class of Composed Models Resulted from Blending Emax and
One-Compartment Models. The Annals of Statistics, 36, 428-444. |
|
López-Fidalgo, J., Rodríguez-Díaz, J.M., Sánchez G.,
Santos-Martín M.T. (2005). Optimal Designs for Compartmental Models with
Correlated Observations. Journal of Applied Statistics, 32, 1075-1088. |
|
Sánchez-León G., López-Fidalgo J. (2003). Mathematical
Techniques for Solving Analytically Large Compartmental Systems. Health
Physics, 85, 184-193. |
|
Trandafir, C., Lopez-Fidalgo, J. (2004). Optimal Design for
Pharmacokinetics Models. Model Oriented Data Analysis and Experimental Design,
7, 173-181. |
|
| (iv) Bayesian Designs |
|
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Amzal, B., Bois, F. Y., Parent, E., Robert, C. P. (2006).
Bayesian-Optimal Design Via Interacting Particle Systems. Journal of the
American Statistician Association, 101, 773-785. |
|
Chaloner, K. (1984). Optimal Bayesian Experimental Designs
for Linear Models. Annals of Statistics, 12, 282-300. |
|
Dette, H., Neugebauer, H. M. (1996). Bayesian Optimal One
Point Designs for One Parameter Nonlinear Models. Journal of Statistical
Planning and Inference, 52, 17-31. |
|
Dette, H., Neugebauer, H.M. (1997). Bayesian D-Optimal
Designs for Exponential Regression Models. Journal of Statistical Planning and
Inference, 60, 331-349. |
|
Palmer, J. L., Muller, P. (1998). Bayesian Optimal Design
in Population Models for Haematologic Data. Statistics in Medicine, 17,
1613-1622. |
|
Verdinelli, I. (2000). A Note on Bayesian Design for the
Normal Linear Model with Unknown Error Variance. Biometrika, 87, 222-227. |
|
Verdinelli, I., Kadane, J. B. (1992). Bayesian Designs for
Maximizing Information and Outcome. Journal of the American Statistical
Association, 87, 510-515. |
|
Verdinelli, I., Polson, N., Singpurwalla, N. (1993).
Shannon Information and Bayesian Design for Prediction in Accelerated Life
Testing. In Reliability and Decision Making, 247-256. |
|
Zhu, W., Wong, W. K. (2001). Bayesian Optimal Designs for
Estimating a Set of Symmetrical Quantiles. Statistics in Medicine, 20, 123-137. |
|
| (v) Polynomial, Trigonometric and Fourier
regression models |
|
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Abt, M., Liski, E. P., Mandal, N. K., Sinha, B. K. (1997).
Optimal Designs in Growth Curve Models: Part I Correlated Model for Linear
Growth: Optimal Designs for Slope Parameter Estimation and Growth Prediction.
Journal of Statistical Planning and Inference, 64, 141-150. |
|
Atkinson, A. C., Cook, R. D. (1995). D-Optimum Designs for
Heteroscedastic Linear Models. Journal of the American Statistician
Association, 90, 204-212. |
|
Begg, C. C., Kalish, L. A. (1984). Treatment Allocation for
Nonlinear Models in Clinical Trials: The Logistic Model. Biometrics, 40,
409-420. |
|
Dette, H. (1992). Experimental Designs for a Class of
Weighted Polynomial Regression Models. Computational Statistics and Data
Analysis, 14, 359-373. |
|
Dette, H., Wong, W. K. (1996). Bayesian Optimal Designs for
Models with Partially Specified Heteroscedastic Structure. The Annals of
Statistics, 24, 2108-2127. |
|
Dette, H., Wong, W. K. (1996). Robust Optimal Extrapolation
Designs for Polynomial Models. Biometrika, 83, 667-680. |
|
Dette, H., Haller, G. (1998). Optimal Designs for the
Identification of the Order of a Fourier Regression. The Annals of Statistics,
26, 1496-1521. |
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Dette, H., Melas, V.B., Schpilev, P. (2007). Optimal
Designs for Estimating the Coefficients of the Lower Frequencies in
Trigonometric Regression Models. Annals of the Institute of Statistical
Mathematics, 59, 655-673. |
|
Fang, Z. (2002). D-Optimal Designs for Polynomial
Regression Models Through the Origin. Statistics and Probability Letters, 57,
343-351. |
|
Gaffke, N., Krafft, O. (1982). Exact D-Optimum Designs for
Quadratic Regression. Journal of the Royal Statistical Society, 44, 394-397. |
|
Schmelter, T., Benda, N., Schwabe, R. (2007). Some
Curiosities in Optimal Designs for Random Slopes. mODa 8 - Advances in
Model-Oriented Design and Analysis, 189-195. |
|
Wong, W. K. (1993). Minimal Number of Support Points for
Heteroscedastic Optimal Designs. Statistics and Probability Letters, 17,
405-409. |
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Wong, W. K. (1994). A Graphical Approach for Constructing
Constrained D and L-Optimal Designs Using Efficiency Plots. Journal of
Statistical Simulation and Computation, 53, 143-152. |
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Wong, W. K. (1996). On Choice of a Uniform Design in
Polynomial Regression Models. Sankhya, 58, 396-406. |
|
| (vi) Binary Experiments |
|
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Baek, I., Zhu, W., Wu, X., Wong, W.K. (2006). Bayesian
Optimal Designs for a Quantal Dose Response Study with Potentially Missing
Observations. Journal of Biopharmaceutical Statistics, 16, 679-693. |
|
Biedermann, S., Dette, H., Zhu, W. (2007). Compound Optimal
Designs for Percentile Estimation in Dose-Response Models with Restricted
Design Intervals. Journal of Statistical Planning and Inference, 137,
3838-3847. |
|
Chaloner, K., Larntz, K. (1989). Optimal Bayesian Design
Applied to Logistic Regression Experiments. Journal of Statistical Planning and
Inference, 21, 191-208. |
|
Demidenko, E. (2007). Sample Size and Optimal Design for
Logistic Regression with Binary Interaction. Statistics in Medicine, 27,36-46. |
|
Gaylor, D. W., Chen, J. J., Kodell, R. L. (1984).
Experimental Designs of Bioassays Due for Screening and Low Dose Extrapolation.
Risk Analysis, 5, 9-16. |
|
Heise, M. A, Myers, R. H. (1996). Optimal Designs for
Bivariate Logistic Regression. Biometrics, 56, 613-624. |
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Kalish, L. A. (1990). Efficient Design for Estimation of
Median Lethal Dose and Quantal Dose-Response Curves. Biometrics, 46, 737-748. |
|
Karvanen, J. Vartiainen, J. J., Timofeev, A., Pekola, J.
(2007). Experimental Designs for Binary Data in Switching Measurements on
Superconducting Josephson Junctions. Applied Statistics, 56, 167-181. |
|
King, J., Wong, W. K. (2000). Minimax D-Optimal Designs for
the Logistic Model. Biometrics, 56, 1263-1267. |
|
Lopez-Fidalgo, J., Tommasi, C. (2003). Construction of MV-
and SMV-Optimum Designs for Binary Response Models. Journal of Computational
Statistics and Data Analysis, 44, 465-475. |
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Lopez-Fidalgo, J., Wong, W.K. (2000). A Comparative Study
of MV- and SMV Optimal Designs for Binary Response Models. Advances in
Stochastic Simulation Methods, Statistical Industry Technology, 135-151. |
|
Minkin, S. (1987). Optimal Designs for Binary Data. Journal
of the American Statistical Association, 82, 1098-1103. |
|
Sitter, R. (1992). Robust Designs for Binary Data.
Biometrics, 48, 1145-1155. |
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Tekle, F. B.,Tan, F.E. S., Berger, M. P. F. (2008). Highly
Efficient Designs for Logistic Models with Categorical Variables.
Communications in Statistics-Theory and Methods, Vol. 37, 746-759. |
|
Tommasi, C. H., Lopez-Fidalgo, J. (2004). Minimax Designs
for a Parameterization of Binary Response Models. Communications in Statistics:
Theory and Methods, 33, 2787-2798. |
|
Torsney, B., Lopez-Fidalgo, J. (2001). Minimax Designs for
Logistic Regression in a Compact Interval. In Advances in Model-Oriented Design
and Analysis, 243-250. |
|
Tsutakawa, R. K. (1972). Design of Experiment for Bioassay.
Journal of the American Statistical Association, 67, 584-590. |
|
Wu, C. F. J. (1988). Optimal Design for Percentile
Estimation of a Quantal Response Curve. In Optimal Design and Analysis of
Experiments, 213-223. |
|
Zocchi, S. S., Atkinson, A. C. (1999). Optimum Experimental
Designs for Multinomial Logistic Models. Biometrics, 55, 437-444. |
|
| (vii) Minimax or Maximin Designs |
|
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Berger, M. P. F., King, J., Wong, W. K. (2000). Minimax
Designs for Item Response Theory Models. Psychometrika, 65, 377-390. |
|
Brown, L. D., Wong, W.K. (2000). An Algorithmic
Construction of Optimal Minimax Designs for Heteroscedastic Linear Models.
Journal of Statistical Planning and Inference, 85, 103-114. |
|
Dette, H. and Biedermann, S. (2003). Robust and Efficient
Designs for the Michaelis-Menten Model. Journal of the American Statistical
Association, 98,679-686. |
|
Dette, H., Pepelyshev, Andrey. (2008). Efficient
Experimental Designs for Sigmoidal Growth Models. Statistical Planning and
Inference, 138, 2-17. |
|
Dette, H., Wong, W. K. (1999). E-Optimal Designs for the
Michaelis-Menten Models. Statistics and Probability Letters, 44, 405-408. |
|
Imhof, L., Wong, W. K. (2000). A Graphical Method for
Finding Maximin Designs. Biometrics, 56, 113-117. |
|
King, J., Wong, W. K. (1998). Optimal Minimax Designs for
Prediction in Heteroscedastic Models. Journal of Statistical Planning and
Inference, 69, 371-383. |
|
Ouwens, M. J. N. M, Tan, P .E. S., Berger, M. P. F. (2002).
Maximin D-Optimal Designs for Longitudinal Mixed Effects Models. Biometrics 58,
735-741. |
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Ouwens, M. J. N. M., Tan, P. E. S., Berger, M P.F. (2005).
A Maximin Criterion for the Logistic Random Intercept Model with Covariates.
Journal of Statistical Planning and Inference, 136, 962-981. |
|
Wong, W. K. (1992). A Unified Approach to the Construction
of Mini-Max Designs. Biometrika, 79, 611-620. |
|
Wong, W. K. and Cook, R. D. (1993). Heteroscedastic
G-Optimal Designs. Journal of Royal Statistical Society, 55, 871-880. |
|
Wong, W. K. (1994). Multifactor G-Optimal Designs with
Heteroscedastic Errors. Journal of Statistical Planning and Inference, 40,
127-133. |
|
| (viii) Discrimination Designs |
|
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Atkinson, A. C., Fedorov, V. V. (1975). The Design of
Experiments for Discriminating Between Two Rival Models. Biometrika, 62, 57-70. |
|
Atkinson, A. C., Fedorov, V. V. (1975). Optimal Design:
Experiments for Discriminating Between Several Models. Biometrika, 62, 289-303. |
|
Dette, H., Melas, V. B., Wong, W. K. (2005). Optimal
Designs for Goodness of Fit of the Michaelis-Menten Enzyme Kinetic Function.
Journal of American Statistical Association, 100, 1370-1381. |
|
López-Fidalgo, J., Tommasi, C., Trandafir, P. C. (2007). An
Optimal Experimental Design Criterion for Discriminating Between Non-Normal
Models. Journal of the Royal Statistical Society, 69, 231-242. |
|
Lopez-Fidalgo, J., Tommasi, C., Trandafir, P. C. (2008).
Optimal Designs for Discriminating between Some Extensions of the
Michaelis-Menten Model. Journal of Statistical Planning and Inference. In
Press. |
|
| (ix) Multi-objective Designs |
|
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Berger, M P.F., Tan, P. E. S. (2004) Robust Designs for
Linear Mixed Effects Models. Journal of the Royal Statistical Society, 53,
569-581. |
|
Box, G. E. P., Draper, N.R. (1975). Robust Designs.
Biometrika, 62, 347-352. |
|
Clyde, M., Chaloner, K. (1996). The Equivalence of
Constrained and Weighted Designs in Multiple Objective Design Problems. Journal
of the American Statistical Association, 91, 1236-1244. |
|
Cook, R. D., Nachtsheim, C. J. (1982). Model Robust,
Linear-Optimal Designs. Technometrics, 24, 49-54. |
|
Cook, R. D., Wong, W. K. (1994). On the Equivalence of
Constrained and Compound Optimal Designs. Journal of the American Statistician
Association, 89, 687-692. |
|
Dette, H., Wong, W.K., Zhu, W. (2005). On the Equivalence
of Optimality Design Criteria for the Placebo-Treatment Problem. Statistics and
Probability Letters, 74, 337-346. |
|
Garcia, I., Sarabia, L., Ortiz, M. C., Aldama, M. J.
(2005). Usefulness of D-Optimal Designs and Multicriteria Optimization in
Laborious Analytical Procedures: Application To the Extraction of Quinolones
From Eggs. Journal of Chromatography, 1095, 190-198. |
|
Huang, Y. C., Wong, W. K. (1998). Multiple-Objective
Optimal Designs. Journal of Biopharmaceutical Statistics, 8, 635-643. |
|
Huang, Y. C., Wong, W. K. (2005). Robustness Properties of
Multiple-Objective Optimal Designs. Drug Information Journal, 39, 223-232. |
|
Lauter, E. (1974). Experimental Planning in a Class of
Models. Mathematische Operationsforschung und Statistik, 5, 697-708. |
|
Lee, C.M. S. (1988). Constrained Optimal Designs. Journal
of Statistical Planning and Inference, 18, 377-389. |
|
Moerbeek, M., Wong, W. K. (2002). Multiple-Objective
Optimal Designs for the Hierarchical Linear Model. Journal of Official
Statistics, 18: 291-303. |
|
Song, D., Wong, W. K. (1998). On the Construction of
Grm-Optimal Designs. Statistical Sinica, 9, 263-272. |
|
Zeng, Q., Zhu, W., Wong, W. K. (2000). Dual-Objective
Bayesian Optimal Designs for a Dose-Ranging Study. Drug Information Journal,
34, 421-428. |
|
Zhu, W., Ahn, H., Wong, W. K. (1998). Multiple-Objective
Optimal Designs for the Logit Model. Communications in Statistics: Theory and
Methods, 27, 1581-1592. |
|
| (x) Nonlinear Models |
|
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Burridge, J., Sebastiani, P. (1994). D-Optimal Designs for
Generalized Linear Models with Variance Proportional to the Square of the Mean.
Biometrika, 81, 295-304. |
|
Burridge, J., Sebastiani, P. (1992). Optimal Designs for
Generalized Linear Models. Statistical Methods and Applications, 1, 183-202. |
|
Christos, H., Larntz, K. (1992). Optimal Design in
Nonlinear Multi-Response Estimation: Poisson Model for Filter Feeding.
Biometrics, 48, 1235-1248. |
|
Cobby, J. M., Chapman, P. F., Pike, D. J. (1986). Design of
Experiments for Estimating Inverse Quadratic Polynomial Responses. Biometrics,
42, 659-664. |
|
Conlisk, J., Watts, H. (1979). A Model for Optimizing
Experimental Designs for Estimating Response Surfaces. Journal of Econometrics,
11, 27-42. |
|
Dette, H., Wong, W. K. (1999). Optimal Designs When the
Variance is a Function of Its Mean. Biometrics, 55, 925-929. |
|
Dunn, G. (1988). Optimal Designs for Drug, Neurotransmitter
and Hormone Receptor Assays. Statistics in Medicine, 7, 805-815. |
|
Haines, L. (1992). Optimal Design for Inverse Quadratic
Polynomials. South African Statistical Journal, 26, 25-41. |
|
Hatzis, C., Larntz, K. (1992). Optimal Design in Nonlinear
Multi-Response Estimation: Poisson Model for Filter Feeding. Biometrics, 48,
1235-1248. |
|
Hedayat, A. S., Zhong, J., Nie, L. (2003). Optimal and
Efficient Designs for 2 Parameter Nonlinear Models. Journal of Statistical
Planning and Inference, 124, 205-217. |
|
Lopez-Fidalgo, J., Wong, W. K. (2002). Optimal Designs for
the Michaelis-Menten Model. Journal of Theoretical Biology, 215, 1-11. |
|
Murphy, E. F., Gilmour, S. G., James, M., Crabbe, C.
(2003). Efficient and Accurate Experimental Design for Enzyme Kinetics:
Bayesian Studies Reveal a Systematic Approach. Journal of Biochemical and
Biophysical Methods, 55, 155-178. |
|
Wang, Y., Myers, R. H., Smith, E. P., Ye, K. (2006).
D-Optimal Designs for Poisson Regression Models. Journal of Statistical
Planning and Inference, 136, 2831-2845. |
|
| (xi) Sequential Designs and Algorithms |
|
|
Atkinson, A. C. (1982). Optimum Biased Coin Designs for
Sequential Clinical Trials with Prognostic Factors. Biometrika, 69, 61-67. |
|
Atwood, C L. (1976). Sequences Converging to D-Optimal
Designs of Experiments. Annals of Statistics, 1, 342-352. |
|
Begg, C. C., Iglewicz, B. (1980). A Treatment Allocation
Procedure for Sequential Trials. Biometrics, 36, 81-90. |
|
Berger, M. P. F. (1994). D-Optimal Sequential Sampling
Designs for Item Response Theory Models. Journal of Educational Statistics, 19,
43-56. |
|
Huang, Y. C., Wong, W. K. (1998). Sequential Construction
of Multiple-Objective Designs. Biometrics, 54, 1388-1397. |
|
Wynn, H. P. (1972). Results in the Theory and Construction
of D-Optimum Experimental Designs. Journal of Royal Statistical Society, 34,
133-147. |
|
| (xii) Biomedical Applications of Optimal Designs |
|
|
Fedorov, V., Leonov, S. (2004). Optimal Designs for
Regression Models with Forced Measurements at Baseline. Moda 7 - Advances in
Model-Oriented Design and Analysis, 61-70. |
|
Hedayat, A. S., Jacroux, M., Majumdar, D. (1988). Optimal
Designs for Comparing Test Treatments with Controls. Statistical Science, 3,
462-491. |
|
Kitsos, C. P., Titterington, D. M., Torsney, B. (1988). An
Optimal Design Problem in Rhythmometry. Biometrics, 44, 657-671. |
|
Landaw, E. (1980). Optimal Experimental Design for Biologic
Compartmental Systems. Department of Biomathematics, UCLA. |
|
Lopez-Fidalgo, J., Rodríguez, S. G., Varela, G. (2005).
Optimal Experimental Designs for Prediction of Morbidity After Lung Resection.
Quantitative Methods for Cancer and Human Risk Assessment, Wiley. |
|
Morrison, D. F. (1970). The Optimal Spacing of Repeated
Measurements. Biometrics, 26, 281-290. |
|
Olsson, I. M., Gottfries, J., Wold, S. (2004). D-Optimal
Onion Designs in Statistical Molecular Design. Chemometrics and Intelligent
Laboratory Systems, 73, 37-46. |
|
Rodríguez , L., Lopez-Fidalgo, J. (2005). Optimal Designs
for the Arrhenius Equation. Journal of Chemometrics and Intelligent Laboratory
Systems, 77, 131-138. |
|
Saidel, G. M., Lutchen, K. R. (1982). Sensitivity Analysis
and Experimental Design Techniques: Application To Nonlinear, Dynamic Lung
Models. Computers and Biomedical Research, 15, 434-454. |
|
Winkens, B., Schouten, H. J. A., Van Breukelen, G. J. P ,
Berger, M. P. F. (2006). Optimal Number of Repeated Measures and Group Sizes in
Clinical Trials with Linearly Divergent Treatment Effects. Contemporary
Clinical Trials, 27, 57-69. |
|
Winkens, B., Schouten, H. J. A., Van Breukelen, G.J.,
Berger, M. P. F. (2005). Optimal Time-Points in Clinical Trials with Linearly
Divergent Treatment Effects. Statistics in Medicine, 24, 3743-3756. |
|
Wit, E., Nobil, A., Khanin, R. (2005). Near-Optimal Designs
for Dual Channel Microarray Studies. Applied Statistics, 54, 817-830. |
|
Zhu, W., Wong, W. K. (1999). Optimum Treatment Allocation
in Comparative Biomedical Studies. Statistics in Medicine, 19, 639-648. |
|
| (xiii) Non-Biomedical Applications of Optimal
Designs
|
|
|
Grobmann, H., Holling, H., Schwabe, R. (2002). Advances in
Optimum Experimental Design for Conjoint Analysis and Discrete Choice Models.
Econometric Models in Marketing, 16, 91-115. |
|
Gunduz, N., Torsney, B. (2006). Some Advances in Optimal
Designs in Contingent Valuation Studies. Journal of Statistical Planning and
Inference, 136, 1153-1165. |
|
Nyquist, H. (1992). Optimal Designs of Discrete Response
Experiments in Contingent Valuation Studies. The Review of Economics and
Statistics, 74, 559-563. |
|
Papakyriazis, P. A. (1978). Optimal Experimental Design in
Econometrics: The Time Series Problem. Journal of Econometrics, 7, 351-372. |
|
Versyck, K. J., Bernaerts, K., Geeraerd, A , Impe, J. F. V.
(1999). Introducing Optimal Experimental Design in Predictive Modeling: A
Motivating Example. International Journal of Food Microbiology, 51, 39-51. |
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