Publikationen
2024
A p-step-ahead sequential adaptive algorithm for D-optimal nonlinear regression design
Statistical Papers 65 (2024) 2811-2843
(with F. Freise and N. Gaffke).
Optimal design in repeated testing for count data
arXiv:2405.18323 [stat.ME]
(with P. Parsamaram and H. Holling).
Poisson regression in one covariate on massive data
arXiv:2403.18432 [math.ST]
(with T. Reuter).
Experimental designs for accelerated degradation tests based on linear mixed effects models
Communications in Statistics - Theory and Methods 53 (2024) 2154-2177
(with H. Shat).
2023
D-optimal Subsampling Design for Massive Data Linear Regression
arXiv:2307.02236 [stat.ME]
(with T. Reuter).
Optimal time plan in accelerated degradation testing
Communications in Statistics - Theory and Methods 52 (2023) 8408-8424
(with H. Shat).
V-optimality of designs in random effects Poisson regression models
Metrika 86 (2023) 879-897
(with M. Niaparast and S. MehrMansour).
Optimal subsampling design for polynomial regression in one covariate
Statistical Papers 64 (2023) 1095-1117
(with T. Reuter).
D-optimal and nearly D-optimal exact designs for binary response on the ball
Statistical Papers 64 (2023) 1021-1040
(with M. Radloff).
Optimal design for estimating the mean ability over time in repeated item response testing
Journal of Statistical Planning and Inference 225 (2023) 266-282
(with F. Freise and H. Holling).
2022
Optimal designs for discrete choice models via graph Laplacians
arXiv:2208.08926 [math.ST]
(with F. Röttger and T. Kahle).
Optimal stress levels in accelerated degradation testing for various degradation models
In: J. Pilz, T. A. Oliveira, K. Moder, C. P. Kitsos (Eds.): Mindful Topics on Risk Analysis and Design of Experiments - Selected contributions from ICRA8, Vienna 2019. Springer, Cham (2022) 113-134
(with H. Shat).
2021
Equivariance and invariance for optimal designs in generalized linear models exemplified by a class of gamma models
Journal of Statistical Theory and Practice (2021) 15:93
(with O. Idais).
D-optimal designs for Poisson regression with synergetic interaction effect
TEST 30 (2021) 1004-1025
(with F. Freise, U. Graßhoff and F. Röttger).
Convergence of least squares estimators in the adaptive Wynn algorithm for a class of nonlinear regression models
Metrika 84 (2021) 851-874
(with F. Freise and N. Gaffke).
The semialgebraic geometry of saturated optimal designs for the Bradley-Terry model
Algebraic Statistics 12 (2021) 97-114
(with T. Kahle and F. Röttger).
The adaptive Wynn-algorithm in generalized linear models with univariate response
The Annals of Statistics 49 (2021) 702-722
(with F. Freise and N. Gaffke).
Optimal design for probit choice models with dependent utilities
Statistics 55 (2021) 173-194
(with U. Graßhoff, H. Großmann and H. Holling).
Analytic solutions for locally optimal designs for gamma models having linear predictors without intercept
Metrika 84 (2021) 1-26
(with O. Idais).
2020
D-optimal design for the Rasch counts model with multiple binary predictors
British Journal of Mathematical and Statistical Psychology 73 (2020) 541-555
(with U. Graßhoff and H. Holling).
Geometrie optimaler Versuchspläne
Mitteilungen der Deutschen Mathematiker-Vereinigung 28 (2020) 71-76
(with T. Kahle and F. Röttger).
Optimality regions for designs in multiple linear regression models with correlated random coefficients
Journal of Statistical Planning and Inference 209 (2020) 267-279
(with U. Graßhoff, H. Holling and F. Röttger).
Optimal design in hierarchical random effect models for individual prediction with application in precision medicine
Journal of Statistical Theory and Practice (2020) 14:24
(with M. Prus and N. Benda).
Optimal designs for Poisson count data with Gamma block effects
Journal of Statistical Planning and Inference 204 (2020) 128-140
(with M. Schmidt).
Optimal designs for two-level main effects models on a restricted design region
Journal of Statistical Planning and Inference 204 (2020) 45-54
(with F. Freise and H. Holling).
2019
Optimal designs for second-order interactions in paired comparison experiments with binary attributes
Journal of Statistical Theory and Practice (2019) 13:51
(with E. Nyarko).
Locally optimal designs for gamma models
Journal of Statistical Planning and Inference 203 (2019) 199-214
(with N. Gaffke and O. Idais).
Locally D-optimal designs for non-linear models on the k-dimensional ball
Journal of Statistical Planning and Inference 203 (2019) 106-116
(with M. Radloff).
Locally D-optimal designs for a wider class of non-linear models on the k-dimensional ball
with applications to logit and probit models
Statistical Papers 60 (2019) 515-527
(with M. Radloff).
Optimal designs for K-factor two-level models with first-order interactions on a symmetrically restricted design region
Statistical Papers 60 (2019) 495-513
(with F. Freise).
Optimal designs for the generalized partial credit model
British Journal of Mathematical and Statistical Psychology 72 (2019) 271-293
(with P.-C. Bürkner and H. Holling).
Quasi-Newton algorithm for optimal approximate linear regression design: optimization in matrix space
Journal of Statistical Planning and Inference 198 (2019) 62-78
(with N. Gaffke).
2017
D-optimal design for a model with interaction between a qualitative and a quantitative factor in the presence of random block effects
Journal of Statistical Theory and Practice 11 (2017) 759-770
(with J. Alonso Cabrera).
Adaptive designs for quantal dose-response experiments with false answers
Journal of Statistical Theory and Practice 11 (2017) 361-374
(with N. Benda, P.-C. Bürkner, F. Freise and H. Holling).
Optimal design for multiple regression with information driven by the linear predictor
Statistica Sinica 27 (2017) 1371-1384
(with D. Schmidt).
2016
Activation of mitochondrial complex II-dependent respiration is beneficial for a-synucleinopathies
Molecular Neurobiology 53 (2016) 4728-4744
(with Ch. Fröhlich, K. Zschiebsch, V. Gröger, K. Paarmann, J. Steffen, Ch. Thurm, E.-M. Schropp, Th. Brüning, F. Gellerich, M. Radloff, I. Lachmann, M. Krohn, S. Ibrahim and J. Pahnke).
Algebraic geometry of Poisson regression
Journal of Algebraic Statistics 7 (2016) 29-44
(with T. Kahle and K.-F. Oelbermann).
Optimal design for the Rasch Poisson-Gamma model
In: J. Kunert, C. H. Müller and A. C. Atkinson (Eds.): mODa 11 - Advances in Model-Oriented Design and Analysis. Springer (2016) 133-141
(with U. Graßhoff and H. Holling).
Interpolation and extrapolation in random coefficient regression models: Optimal design for prediction
In: J. Kunert, C. H. Müller and A. C. Atkinson (Eds.): mODa 11 - Advances in Model-Oriented Design and Analysis. Springer (2016) 209-216
(with M. Prus).
Invariance and equivariance in experimental design for nonlinear models
In: J. Kunert, C. H. Müller and A. C. Atkinson (Eds.): mODa 11 - Advances in Model-Oriented Design and Analysis. Springer (2016) 217-224
(with M. Radloff).
Statistical optimal design theory
In: W. J. van der Linden (Ed.): Handbook of Item Response Theory, Vol. 2: Statistical Tools. Chapman and Hall / CRC (2016) 313-340
(with H. Holling).
Optimal designs for the prediction of individual parameters in hierarchical models
Journal of the Royal Statistical Society, Ser. B 78 (2016) 175-191
(with M. Prus).
2015
Optimal design for multivariate observations in seemingly unrelated linear models
Journal of Multivariate Analysis 142 (2015) 48-56
(with M. Soumaya and N. Gaffke).
Optimal cutpoints for random observations
Statistics 49 (2015) 1366-1381
(with M. Schmidt).
Design for discrete choice experiments
In: A. Dean, M. Morris, J. Stufken and D. Bingham (Eds.): Handbook of Design and Analysis of Experiments. CRC Press, Boca Raton (2015) 787-831
(with H. Großmann).
On optimal designs for censored data
Metrika 78 (2015) 237-257, Erratum p 259
(with D. Schmidt).
On the impact of correlation on the optimality of product-type designs in SUR models
In: A. Steland, E. Rafajlowicz and K. Szajowski (Eds.): Stochastic Models, Statistics and Their Applications. Springer, New York (2015) 159-167
(with M. Soumaya).
Poisson model with three binary predictors: When are saturated designs optimal?
In: A. Steland, E. Rafajlowicz and K. Szajowski (Eds.): Stochastic Models, Statistics and Their Applications. Springer, New York (2015) 75-81
(with U. Graßhoff and H. Holling).
2014
Discussion of the paper: Methods for Planning Repeated Measures Accelerated Degradation Tests by B. P. Weaver and W. Q. Meeker
Applied Stochastic Models in Business and Industry 30 (2014) 658-671; pp 677-679
(with M. Prus and U. Graßhoff).
A catalogue of designs for partial profiles in paired comparison experiments with three groups of factors
Statistics 48 (2014) 1268-1281
(with H. Großmann and U. Graßhoff).
Algorithms for approximate linear regression design applied to a first order model with heteroscedasticity
Computational Statistics and Data Analysis 71 (2014) 1113-1123
(with N. Gaffke and U. Graßhoff).
2013
An introduction to optimal design. Some basic issues using examples from dyscalculia research
Zeitschrift für Psychologie 221 (2013) 124-144
(with H. Holling).
Optimal designs for the prediction of individual effects in random coefficient regression
In: D. Ucinski, A. C. Atkinson and M. Patan (Eds.): mODa 10 - Advances in Model-Oriented Design and Analysis. Springer, Cham (2013) 211-218
(with M. Prus).
Sample size calculation for diagnostic tests in generalized linear mixed models
In: D. Ucinski, A. C. Atkinson and M. Patan (Eds.): mODa 10 - Advances in Model-Oriented Design and Analysis. Springer, Cham (2013) 171-178
(with T. Mielke).
Optimal design for count data with binary predictors in item response theory
In: D. Ucinski, A. C. Atkinson and M. Patan (Eds.): mODa 10 - Advances in Model-Oriented Design and Analysis. Springer, Cham (2013) 117-124
(with U. Graßhoff and H. Holling).
Optimal design for quasi-likelihood estimation in Poisson regression with random coefficients
Journal of Statistical Planning and Inference 143 (2013) 296-306
(with M. Niaparast).
Optimal design for discrete choice experiments
Journal of Statistical Planning and Inference 143 (2013) 167-175
(with U. Graßhoff, H. Großmann and H. Holling).
2012
Optimal designs for the Rasch model
Psychometrika 77 (2012) 710-723
(with U. Graßhoff and H. Holling).
Discussion of the paper: Optimum design of experiments for statistical inference by S. G. Gilmour and L. A. Trinca
Applied Statistics 61 (2012) 345-369; p 385
(with H. Holling).
Designs for first-order interactions in paired comparison experiments with two-level factors.
Journal of Statistical Planning and Inference 142 (2012) 2395-2401
(with H. Großmann and S. G. Gilmour).
Optimal design for linear regression models in the presence of heteroscedasticity caused by random coefficients
Journal of Statistical Planning and Inference 142 (2012) 1108-1113
(with U. Graßhoff, A. Doebler and H. Holling).
2011
D-optimal design for a seemingly unrelated linear model
In: V. Melas, G. Nachtmann and D. Rasch (Eds.): Optimal Design of Experiments - Theory and Application. Proceedings of the International Conference in Honor of the late Jagdish Srivastava. Center of Experimental Design, University of Natural Resources and Life Sciences, Vienna (2011) 170-174
(with M. Soumaya).
Optimal designs for individual prediction in random coefficient regression models
In: V. Melas, G. Nachtmann and D. Rasch (Eds.): Optimal Design of Experiments - Theory and Application. Proceedings of the International Conference in Honor of the late Jagdish Srivastava. Center of Experimental Design, University of Natural Resources and Life Sciences, Vienna (2011) 122-129
(with M. Prus).
Discussion of the paper: The usefulness of Bayesian optimal designs for discrete choice experiments by R. Kessels et al.
Applied Stochastic Models in Business and Industry 27 (2011) 173-188; pp 189-192
(with H. Holling).
2010
Self-avoiding generating sequences for Fourier lattice designs
In: M. A. G. Viana and H. P. Wynn (Eds.): Algebraic Methods in Statistics and Probability II. Contemporary Mathematics 516. AMS, Providence (2010) 37-47
(with R. A. Bates, H. Maruri-Aguilar, E. Riccomagno and H. P. Wynn).
Some considerations on the Fisher information in nonlinear mixed effects models
In: A. Giovagnoli, A. C. Atkinson, B. Torsney and C. May (Eds.): mODa 9 - Advances in Model-Oriented Design and Analysis. Physica, Heidelberg (2010) 129-136
(with T. Mielke).
Optimal designs for linear logistic test models
In: A. Giovagnoli, A. C. Atkinson, B. Torsney and C. May (Eds.): mODa 9 - Advances in Model-Oriented Design and Analysis. Physica, Heidelberg (2010) 97-104
(with U. Graßhoff and H. Holling).
2009
Some new designs for first-order interactions in 2K paired comparison experiments
In: S. M. Ermakov, V. B. Melas and A. N. Pepelyshev (Eds.): Proceedings of the 6th St. Petersburg Workshop on Simulation. St. Petersburg (2009) 394-399
(with H. Großmann and S. G. Gilmour).
On optimal design for a heteroscedastic model arising from random coefficients
In: S. M. Ermakov, V. B. Melas and A. N. Pepelyshev (Eds.): Proceedings of the 6th St. Petersburg Workshop on Simulation. St. Petersburg (2009) 387-392
(with U. Graßhoff and H. Holling).
Approximate and exact optimal designs for paired comparisons of partial profiles when there are two groups of factors
Journal of Statistical Planning and Inference 139 (2009) 1171-1179
(with H. Großmann and U. Graßhoff).
2008
On optimal designs in random intercept models
In: A. Pázman, J.Volaufová and V. Witkovský (Eds.), PROBASTAT2006. Proceedings of the Fifth International Conference on Mathematical Statistics, Smolenice 2006. Tatra Mountains Mathematical Publications 39 (2008) 145-153
(with T. Schmelter).
Optimal designs for the Bradley-Terry paired comparison model
Statistical Methods and Applications 17 (2008) 275-289
(with U. Graßhoff).
2007
The relationship between optimal designs for microarray and paired comparison experiments
Otto-von-Guericke-Universität Magdeburg, Fakultät für Mathematik, Preprint Nr. 23/2007
(with H. Großmann).
Efficient design in conjoint analysis and alike
In: J. Kunert and C. Weihs (Eds.): European Network for Business and Industrial Statistics. Seventh Annual ENBIS Conference, Dortmund 2007, Proceedings. Conference CD (2007) 5 pp.
Design optimality in multi-factor generalized linear models in the presence of an unrestricted quantitative factor
Journal of Statistical Planning and Inference 137 (2007) 3882-3893
(with U. Graßhoff, H. Großmann and H. Holling).
Some curiosities in optimal designs for random slopes
In: J. Lopez-Fidalgo, J. M. Rodriguez-Diaz and B. Torsney (Eds.): mODa 8 - Advances in Model-Oriented Design and Analysis. Physica, Heidelberg (2007) 189-195
(with T. Schmelter and N. Benda).
A comparison of efficient designs for choices between two options
In: J. Lopez-Fidalgo, J. M. Rodriguez-Diaz and B. Torsney (Eds.): mODa 8 - Advances in Model-Oriented Design and Analysis. Physica, Heidelberg (2007) 83-90
(with H. Großmann, H. Holling and U. Graßhoff).
2006
Optimal designs for asymmetric linear paired comparisons with a profile strength constraint
Metrika 64 (2006) 109-119
(with H. Großmann, H. Holling and U. Graßhoff).
Halton and Hammersley sequences in multivariate nonparametric regression
Statistics and Probability Letters 76 (2006) 803-812
(with E. Rafajlowicz).
2005
A note on designs for estimating population parameters
Biometrical Letters - Listy Biometryczne 42 (2005) 25-41
(with M. Entholzner, N. Benda and T. Schmelter).
Utility balance and design optimality in logistic models with one unrestricted quantitative factor
In: S. M. Ermakov, V. B. Melas and A. N. Pepelyshev (Eds.): Proceedings of the 5th St. Petersburg Workshop on Simulation. St. Petersburg (2005) 605-610
(with U. Graßhoff, H. Großmann and H. Holling).
On the empirical relevance of optimal designs for the measurement of preferences
In: M. Berger and W.-K. Wong (Eds.): Applied Optimal Designs. Wiley, New York (2005) 45-65
(with H. Großmann, H. Holling, M. Brocke and U. Graßhoff).
2004
Optimal designs for main effects in linear paired comparison models
Journal of Statistical Planning and Inference 126 (2004) 361-376
(with U. Graßhoff, H. Großmann and H. Holling).
2003
Optimal 2K paired comparison designs for partial profiles
In: F. Stulajter and G. Wimmer (Eds.), PROBASTAT2002. Proceedings of the Fourth International Conference on Mathematical Statistics, Smolenice 2002. Tatra Mountains Mathematical Publications 26 (2003) 79-86
(with U. Graßhoff, H. Großmann and H. Holling).
Efficient product designs for quadratic models on the hypercube
Sankhya 65 (2003) 649-659
(with W. K. Wong).
On the analysis of paired observations
Statistics and Probability Letters 65 (2003) 7-12
(with U. Graßhoff).
Optimal paired comparison designs for first-order interactions
Statistics 37 (2003) 373-386
(with U. Graßhoff, H. Großmann and H. Holling).
Experimental design for (semi-)local regression
Communications in Statistics - Theory and Methods 32 (2003) 1035-1055
(with E. Rafajlowicz).
A law of the iterated logarithm for stochastic approximation procedures in d-dimensional Euclidean space
Stochastic Processes and Their Applications 105 (2003) 299-313
(with V. Koval).
Equidistributed designs in nonparametric regression
Statistica Sinica 13 (2003) 129-142
(with E. Rafajlowicz).
2002
Versuchsplanung
Essay in: Lexikon der Mathematik, Band 5: Sed bis Zyl. Editor: G. Walz. Spektrum, Heidelberg (2002) 332-337.
Advances in optimum experimental design for conjoint analysis and discrete choice models
In: P. H. Franses and A. L. Montgomery (Eds.), Advances in Econometrics, Vol. 16. Econometric Models in Marketing. JAI Press, Amsterdam (2002) 93-117
(with H. Großmann and H. Holling).
2001
Efficient paired comparison designs for utility elicitation
In: A. C. Atkinson, P. Hackl, W. G. Müller (Eds.), mODa6 - Advances in Model-Oriented Design and Analysis. Physica, Heidelberg (2001) 111-118
(with H. Großmann, U. Graßhoff and H. Holling).
A note on optimal bounded designs
In: A. Atkinson, B. Bogacka and A. Zhigljavsky (Eds.), Optimum Design 2000. Kluwer, Dordrecht (2001) 131-140
(with M. Sahm).
Efficient designs for paired comparisons with a polynomial factor
In: A. Atkinson, B. Bogacka and A. Zhigljavsky (Eds.), Optimum Design 2000. Kluwer, Dordrecht (2001) 45-56
(with H. Großmann, H. Holling and U. Graßhoff).
An alternative definition of the influence function
Statistics and Probability Letters 51 (2001) 143-153
(with R. Schlittgen).
2000
On randomizing estimators in linear regression models
In: N. Balakrishnan, V. B. Melas and S. M. Ermakov (Eds.), Advances in Stochastic Simulation Methods. Birkhäuser, Boston (2000) 305-314
(with S. M. Ermakov).
Optimal designs for a one-way layout with covariates
Journal of Statistical Planning and Inference 85 (2000) 49-59.
1999
Efficiency bounds for product designs in linear models
Annals of the Institute of Statistical Mathematics 51 (1999) 723-730
(with W. K. Wong).
Some remarks on repeated significance tests for linear contrasts
Journal of Statistical Planning and Inference 82 (1999) 25-34
(with A. Gut).
1998
The use of lattices in the design of high-dimensional experiments
In: N. Flournoy, W. F. Rosenberger and W. K. Wong (Eds.), New Developments and Applications in Experimental Design. IMS Lecture Notes - Monograph Series 34. Institute of Mathematical Statistics, Hayward (1998) 26-35
(with R. A. Bates, E. Riccomagno and H. P. Wynn).
Optimal designs for hierarchical interaction structures
Journal of Statistical Planning and Inference 70 (1998) 181-190.
Lattices and dual lattices in optimal experimental design for Fourier models
Computational Statistics and Data Analysis 28 (1998) 283-296
(with R. A. Bates, E. Riccomagno and H. P. Wynn).
Exact bounds for the rate of convergence in general stochastic approximation procedures
Stochastic Analysis and Its Applications 16 (1998) 501-515
(with V. Koval).
Discussion of the paper: Teaching Experimental Design by A. N. Donev
In: A. C. Atkinson, L. Pronzato and H. P. Wynn (Eds.), MODA5 - Advances in Model-Oriented Data Analysis and Experimental Design. Physica, Heidelberg (1998) 273-281; pp 285-287.
Designing experiments for adaptively fitted models
In: A. C. Atkinson, L. Pronzato and H. P. Wynn (Eds.), MODA5 - Advances in Model-Oriented Data Analysis and Experimental Design. Physica, Heidelberg (1998) 165-175
(with N. Benda).
On the performance of the ordinary least squares method under an error component model
Metrika 47 (1998) 215-226
(with P. Mukhopadhyay).
Limit theorems for solutions of stochastic difference equations in Banach spaces with applications
Random Operators and Stochastic Equations 6 (1998) 149-158
(with V. Koval).
Uncertain resources and designing for additional information
In: S. P. Mukherjee, S. K. Basu and B. K. Sinha (Eds.), Frontiers in Probability and Statistics. Narosa, New Delhi (1998) 301-311.
1997
Lattice-based optimum design for Fourier regression
The Annals of Statistics 25 (1997) 2313-2327
(with E. Riccomagno and H. P. Wynn).
Maximin efficient designs - another view at D-optimality
Statistics and Probability Letters 35 (1997) 109-114.
A limit theorem for the maximum of dependent Gaussian random variables in a Banach space
Ukrainskii Matematicheskii Zhurnal 49 (1997) 1129-1133
(in Russian; English translation: Limit theorem for the maximum of dependent Gaussian random elements in a Banach space. Ukrainian Mathematical Journal 49 (1997) 1005-1008; with V. Koval).
A relationship between efficiencies of marginal designs and the product design
Metrika 45 (1997) 253-257
(with W. K. Wong).
1996
Some properties of multiple decisions following a sequential test
Sequential Analysis 15 (1996) 299-310
(with A. Gut).
On optimal allocations for estimating the surface of a random field
Metrika 44 (1996) 239-258
(with Th. Müller-Gronbach).
Optimal design of experiments for multivariate response in two-factor linear models
In: A. K. Gupta and V. L. Girko (Eds.), Multidimensional Statistical Analysis and Theory of Random Matrices. Proceedings of the Sixth Eugene Lukacs Symposium, Bowling Green, OH. VSP, Utrecht (1996) 235-242.
The reduction of design problems for multivariate experiments to univariate possibilities and their limitations
In: E. Brunner and M. Denker (Eds.), Research Developments in Probability and Statistics. Festschrift in Honor of Madan L. Puri on the Occasion of his 65th Birthday. VSP, Utrecht (1996) 193-204
(with V. G. Kurotschka).
On a stochastic approximation procedure based on averaging
Metrika 44 (1996) 165-180
(with H. Walk).
Model robust experimental design in the presence of interactions: The orthogonal case
In: A. Pázman and V. Witkovský (Eds.), PROBASTAT'94. Proceedings of the Second International Conference on Mathematical Statistics, Smolenice 1994. Tatra Mountains Mathematical Publications 7 (1996) 97-104.
E-optimum designs in linear models with both qualitative and quantitative factors of influence
In: S. M. Ermakov and V. B. Melas (Eds.), Mathematical Methods in Stochastic Simulation and Experimental Design. Proceedings of the 2nd St. Petersburg Workshop on Simulation, St. Petersburg 1996. Publishing House of Saint Petersburg University, Saint Petersburg (1996) 256-260.
Optimum Designs for Multi-factor Models
Lecture Notes in Statistics 113. New York, Springer (1996).
On the law of the iterated logarithm for rapidly increasing subsequences
Mathematische Nachrichten 178 (1996) 309-320
(with A. Gut).
Optimal designs for additive linear models
Statistics 27 (1996) 267-278.
Discussion of the papers on: Statistical aspects of design by A. C. Atkinson and R. A. Bates et al.
Journal of the Royal Statistical Society, Series B 58 (1996) 59-94; p 105.
1995
Model robust experimental design in the presence of interactions
Metrika 42 (1995) 252-253.
Experimental design for linear models with higher order interaction terms
In: V. Mammitzsch and H. Schneeweiß (Eds.), Symposia Gaussiana. Proceedings of the 2nd Gauss Symposium, München 1993. Conference B: Statistical Sciences. DeGruyter, Berlin (1995) 281-288.
Designing experiments for additive nonlinear models
In: C. P. Kitsos and W. G. Müller (Eds.), MODA4 - Advances in Model-Oriented Data Analysis. Physica, Heidelberg (1995) 77-85.
Adaptation in the design of experiments for linear models
In: N. Flournoy and W. F. Rosenberger (Eds.), Adaptive Designs. IMS Lecture Notes - Monograph Series 25. Institute of Mathematical Statistics, Hayward (1995) 276-288.
Experimental design for additive linear models
American Statistical Association. 1994 Proceedings of the Section on Physical and Engineering Sciences. American Statistical Association, Alexandria (1995) 280-284.
D-optimal designs of experiments with non-interacting factors
Journal of Statistical Planning and Inference 44 (1995) 371-384
(with W. Wierich).
Discussion of the paper: Constraint optimization of experimental design by D. Cook and V. Fedorov
Statistics 26 (1995) 129-178; pp 172-173.
1994
Efficient tests based on adaptively allocated observations
In: R. Dutter and W. Grossmann (Eds.), COMPSTAT 1994, 11th Symposium on Computational Statistics, Wien 1994. Short Communications in Computational Statistics. VIS, Wien (1994) 190-191.
On Bather's stochastic approximation algorithm
Kybernetika 30 (1994) 301-306.
1993
Some two-stage procedures for treating the Behrens-Fisher problem
In: W. G. Müller, H. P. Wynn and A. A. Zhigljavsky (Eds.), Model-Oriented Data Analysis. Physica, Heidelberg (1993) 81-89.
Stability results for smoothed stochastic approximation procedures
Zeitschrift für angewandte Mathematik und Mechanik 73 (1993) 639-643.
1992
Optimum designs for partly interacting qualitative and quantitative factors
In: A. Pázman and J. Volaufová (Eds.), PROBASTAT'91. Proceedings of the International Conference on Probability and Mathematical Statistics, Bratislava 1991. Slovak Academy of Sciences, Bratislava (1992) 102-108
(with V. Kurotschka and W. Wierich).
Recursive estimation and difference equations
Teorija Verojatnostej i ee Primenenija 37 (1992) 399-402
(in Russian; English translation: Theory of Probability and Its Applications 37 (1992) 359-362).
On randomized designs for regression
In: V. Fedorov, W. G. Müller and I. N. Vuchkov (Eds.), Model-Oriented Data Analysis. A Survey of Recent Methods. Physica, Heidelberg (1992) 53-66.
1991
Adaptive design in the one-way layout
Journal of Statistical Planning and Inference 28 (1991) 319-338.
1990
Adaptive designs for linear problems
In: W. Kasprzak and A. Weron (Eds.), Stochastic Methods in Experimental Sciences. VNU Science Press, Singapore (1990) 407-420.
Local optimality and global superiority of adaptive designs in linear models
Computational Statistics and Data Analysis 10 (1990) 325-330.
1987
On adaptive chemical balance weighing designs
Journal of Statistical Planning and Inference 17 (1987) 209-216.
On an adaptive design in regression
Statistics 18 (1987) 521-525.
1986
Strong representation of an adaptive stochastic approximation procedure
Stochastic Processes and Their Applications 23 (1986) 115-130.
Medicine / Biometry
Schwabe, R:
Design für Referenz- und Verlaufskurven - oder: Statistisches Design in der Perimetrie: Ein Beispiel aus der medizinischen Diagnostik
In: J. Kaufmann and S. Dahms (Eds.), Statistische Methoden in der empirischen Forschung. Kurzfassungen von Vorträgen der Wintersemester 2005/2006 und 2006/2007. Berlin, Bayer Schering Pharma AG (2007) 213-219.
Kircher TT, Seiferth NY, Plewnia C, Baar S, Schwabe R:
Self-face recognition in schizophrenia
Schizophrenia Research 94 (2007) 264-272.
Gelisken F, Voelker M, Schwabe R, Besch D, Aisenbrey S, Szurman P, Grisanti S, Herzau V, Bartz-Schmidt KU:
Full macular translocation versus photodynamic therapy with verteporfin in the treatment of neovascular age-related macular degeneration: 1-year results of a prospective, controlled, randomised pilot-trial (FMT-PDT)
Graefe's Archive for Clinical and Experimental Ophthalmology 245 (2007) 1085-1095.
Blum A, Luedtke H, Ellwanger U, Schwabe R, Rassner G, Garbe C:
Digital image analysis for diagnosis of cutaneous melanoma. Development of a highly effective computer algorithm based on analysis of 837 melanocytic lesions
British Journal of Dermatology 151 (2004) 1029-1038.
Mildenberger I, Schwabe R, Schiefer U:
Sehschärfenprüfung bei Kindern im Vorschulalter: Ein Vergleich zwischen Sheridan-Gardiner-Test und Räder-Test
[Visual acuity testing in pre-school children: a comparison between the Sheridan-Gardiner test and the Räder (broken wheel) test]
Klinische Monatsblätter für Augenheilkunde 221 (2004) 577-582.
Weinrebe W, Gräf-Gruß R, Schwabe R, Stippler D, Füsgen I:
The two-factor method - a new approach to categorizing the clinical stages of malnutrition in geriatric patients
Journal of the American Geriatrics Society 12 (2002) 2105-2107.
Lorch L, Dietrich TJ, Schwabe R, Schiefer U:
Vergleich der lokalen Lichtunterschiedsempfindlichkeits-(LUE)-Messwerte zwischen dem Oculus-Twinfield-Perimeter und dem Humphrey Field Analyzer (HFA I) Typ 630. Eine alterskorrelierte perimetrische Normwertstudie
[Comparison of local differential luminance sensitivity (dls) between Oculus Twinfield Perimeter and Humphrey Field Analyzer 630 (HFA I) in normal volunteers of varying ages]
Klinische Monatsblätter für Augenheilkunde 218 (2001) 782-794.
Schwabe R, Vonthein R, Ata N, Paetzold J, Dietrich TJ, Schiefer U:
Modeling the hill of vision
In: Wall M, Mills RP (Eds.), Perimetry Update 2000/2001. Kugler, The Hague (2001) 71-79.
Schwabe R, Benda N:
Adaptive Planung und Analyse in "Forced-Choice"-Experimenten
Informatik, Biometrie und Epidemiologie in Medizin und Biologie 32 (2001) 287-288.
Dietrich TJ, Flad MC, Stumpp F, Schuster A, Neumann D, Becker ST, Schwabe R, Schiefer U:
Assessment of functional damage in glaucoma by fundus oriented perimetry using different perimetric scores
Investigative Ophthalmology & Visual Science 41 (2000) 85.