BURROUGHS, LAURENCE, AMER, MAHETAB H, VASSEY, MATTHEW, KOCH, BRITTA, FIGUEREDO, GRAZZIELA P, MUKONOWESHURO, BLESSING, MIKULSKIS, PAULIUS, VASILEVICH, ALIAKSEI, VERMEULEN, STEVEN, DRYDEN, IAN L, WINKLER, DAVID A, GHAEMMAGHAMI, AMIR M, ROSE, FELICITY R A J, DE BOER, JAN and ALEXANDER, MORGAN R, 2021. Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip. Biomaterials. 271, 120740 KIM, KWANG-RAE, DRYDEN, IAN L., LE, HUILING and SEVERN, KATIE E., 2021. Smoothing splines on Riemannian manifolds, with applications to 3D shape space JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 83(1), 108-132 DRYDEN, IAN L., KUME, ALFRED, PAINE, PHILLIP J. and WOOD, ANDREW T. A., 2020. Regression Modeling for Size-and-Shape Data Based on a Gaussian Model for Landmarks JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. VARANO, VALERIO, PIRAS, PAOLO, GABRIELE, STEFANO, TERESI, LUCIANO, NARDINOCCHI, PAOLA, DRYDEN, IAN L., TORROMEO, CONCETTA, SCHIARITI, MICHELE and PUDDU, PAOLO E., 2020. Local and global energies for shape analysis in medical imaging INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING. 36(2), ACHEAMPONG, EDWARD, DRYDEN, IAN L., WATTIS, JONATHAN A. D., TWYCROSS, JAMIE, SCRIMSHAW, MARK D. and GOMES, RACHEL L., 2019. Modelling emerging pollutants in wastewater treatment: A Case study using the pharmaceutical 17 alpha-ethinylestradiol COMPUTERS & CHEMICAL ENGINEERING. 128, 477-487
DRYDEN, IAN L., KIM, KWANG-RAE, LAUGHTON, CHARLES A. and LE, HUILING, 2019. PRINCIPAL NESTED SHAPE SPACE ANALYSIS OF MOLECULAR DYNAMICS DATA ANNALS OF APPLIED STATISTICS. 13(4), 2213-2234 DRYDEN, IAN L., PRESTON, SIMON P. and SEVERN, KATIE E., 2019. Discussion: Object-Oriented Data Analysis, Power Metrics, and Graph Laplacians JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 114(527), 1097-1098 DRYDEN, IAN L., LE, HUILING and KIM, KWANG-RAE, 2019. Bayesian Linear Size-and-Shape Regression with Applications to Face Data SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY. 81(1), 83-103 DRYDEN, IAN, 2019. shapes: Statistical Shape Analysis Comprehensive R Archive Network.
IAN L. DRYDEN and DAVID J. HODGE, 2018. Journeys in big data statistics Statistics & Probability Letters. 136, 121--125 FRIDGEIRSDOTTIR, GUDRUN A., HARRIS, ROBERT J., DRYDEN, IAN L., FISCHER, PETER M. and ROBERTS, CLIVE J., 2018. Multiple Linear Regression Modeling To Predict the Stability of Polymer-Drug Solid Dispersions: Comparison of the Effects of Polymers and Manufacturing Methods on Solid Dispersion Stability MOLECULAR PHARMACEUTICS. 15(5), 1826-1841 VARANO, VALERIO, PIRAS, PAOLO, GABRIELE, STEFANO, TERESI, LUCIANO, NARDINOCCHI, PAOLA, DRYDEN, IAN L, TORROMEO, CONCETTA and PUDDU, PAOLO E, 2018. The decomposition of deformation: New metrics to enhance shape analysis in medical imaging. Medical image analysis. 46, 35-56 LEWIS, NICOLE H., HITCHCOCK, DAVID B., DRYDEN, IAN L. and ROSE, JOHN R., 2018. Peptide refinement by using a stochastic search JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS. 67(5), 1207-1236 VASILIU, DANIEL, DEY, TANUJIT and DRYDEN, IAN L., 2018. Penalized Euclidean distance regression STAT. 7(1), VARANO, VALERIO, PIRAS, PAOLO, TERESI, LUCIANO, GABRIELE, STEFANO, DRYDEN, IAN L., NARDINOCCHI, PAOLA, EVANGELISTA, ANTONIETTA, TORROMEO, CONCETTA and PUDDU, PAOLO EMILIO, 2018. A Threefold Deformation Decomposition in Shape Analysis for Medical Imaging: Spherical, Deviatoric and Non Affine Components VIPIMAGE 2017. 27, 1125-1134 DRYDEN, IAN L., 2017. shapes package: Version 1.2.0 R Foundation for Statistical Computing, Vienna. Available at: <https://cran.r-project.org/package=shapes> KENOBI, KIM, ATKINSON, JONATHAN A., WELLS, DARREN M., GAJU, OORBESSY, DE SILVA, JAYALATH G., FOULKES, M. JOHN, DRYDEN, IAN L., WOOD, ANDREW T. A. and BENNETT, MALCOLM J., 2017. Linear discriminant analysis reveals differences in root architecture in wheat seedlings related to nitrogen uptake efficiency JOURNAL OF EXPERIMENTAL BOTANY. 68(17), 4969-4981 TAN, FRANCISCA M., CABALLERO-GAUDES, CESAR, MULLINGER, KAREN J., CHO, SIU-YEUNG, ZHANG, YAPING, DRYDEN, IAN L., FRANCIS, SUSAN T. and GOWLAND, PENNY A., 2017. Decoding fMRI Events in Sensorimotor Motor Network Using Sparse Paradigm Free Mapping and Activation Likelihood Estimates HUMAN BRAIN MAPPING. 38(11), 5778-5794 VARANO, VALERIO, GABRIELE, STEFANO, TERESI, LUCIANO, DRYDEN, IAN L., PUDDU, PAOLO E., TORROMEO, CONCETTA and PIRAS, PAOLO, 2017. The TPS Direct Transport: A New Method for Transporting Deformations in the Size-and-Shape Space INTERNATIONAL JOURNAL OF COMPUTER VISION. 124(3), 384-408 DRYDEN, IAN, HILL, BLAKE, WANG, HAO and LAUGHTON, CHARLES, 2017. Covariance analysis for temporal data, with applications to DNA modelling STAT. 6(1), 218-230 CHENG, WEN, DRYDEN, IAN L. and HUANG, XIANZHENG, 2016. Bayesian Registration of Functions and Curves BAYESIAN ANALYSIS. 11(2), 447-475 ZHOU, DIWEI, DRYDEN, IAN L., KOLOYDENKO, ALEXEY A., AUDENAERT, KOENRAAD M. R. and BAI, LI, 2016. Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics JOURNAL OF APPLIED STATISTICS. 43(5), 943-978 BROWN, D. M., WILLIAMS, H., RYAN, K. J. P., WILSON, T. L., DANIEL, Z. C. T. R., MAREKO, M. H. D., EMES, R. D., HARRIS, D. W., JONES, S., WATTIS, J. A. D., DRYDEN, I. L., HODGMAN, T. C., BRAMELD, J. M. and PARR, T., 2016. Mitochondrial phosphoenolpyruvate carboxykinase (PEPCK-M) and serine biosynthetic pathway genes are co-ordinately increased during anabolic agent-induced skeletal muscle growth SCIENTIFIC REPORTS. 6, CHRISTOPHER J. BRIGNELL, IAN L. DRYDEN and WILLIAM J. BROWNE, 2016. Covariance Weighted Procrustes Analysis. In: PAVAN K. TURAGA and ANUJ SRIVASTAVA, eds., Riemannian Computing in Computer Vision Springer. 189-210 DRYDEN, IL and MARDIA, KV, 2016. Statistical Shape Analysis, with Applications in R 2nd ed.. Chichester : John Wiley & Sons.
I.L. DRYDEN, H. LE, S.P. PRESTON and A.T.A. WOOD, 2016. Nonparametric statistical methods on manifolds. In: DENKER, M. and WAYMIRE, E.C., eds., Rabi N. Bhattacharya: selected papers. Birkauser, Boston. 587-597
PARR, T., RYAN, K., WILLIAMS, H., HARRIS, D., BROWN, D., MAREKO, M., EMES, R., GILES, T., WATTIS, J., DRYDEN, I., LU, C., HODGMAN, C. and BRAMELD, J., 2015. Skeletal muscle hypertrophy in pigs is associated with an increased expression of serine biosynthetic pathway genes along with genes associated with an endoplasmic reticulum stress response PROCEEDINGS OF THE NUTRITION SOCIETY. 74(OCE5), E278-E278 NURZYNSKA, KATARZYNA, BOOTH, JONATHAN, ROBERT, CLIVE J., MCCABE, JAMES, DRYDEN, IAN and FISCHER, PETER M., 2015. Long-Term Amorphous Drug Stability Predictions Using Easily Calculated, Predicted, and Measured Parameters MOLECULAR PHARMACEUTICS. 12(9), 3389-3398 DU, JIEJUN, DRYDEN, IAN L. and HUANG, XIANZHENG, 2015. Size and Shape Analysis of Error-Prone Shape Data JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 110(509), 368-377 DRYDEN, IL and KENT, JT, eds., 2015. Geometry driven statistics Chichester : Wiley.
DRYDEN, I.L., LE, H., PRESTON, S.P. and WOOD, A.T.A., 2014. Mean shapes, projections and intrinsic limiting distributions. Journal of Statistical Planning and Inference. 145, 25--32 PIGOLI, DAVIDE, ASTON, JOHN A. D., DRYDEN, IAN L. and SECCHI, PIERCESARE, 2014. Distances and inference for covariance operators BIOMETRIKA. 101(2), 409-422 CHENG, WEN, DRYDEN, IAN L., HITCHCOCK, DAVID B. and LE, HUILING, 2014. Analysis of proteomics data: Bayesian alignment of functions ELECTRONIC JOURNAL OF STATISTICS. 8, 1734-1741 CHENG, WEN, DRYDEN, IAN L., HITCHCOCK, DAVID B. and LE, HUILING, 2014. Analysis of AneuRisk65 data: Internal carotid artery shape analysis ELECTRONIC JOURNAL OF STATISTICS. 8, 1905-1913 DRYDEN, IAN L., 2014. Shape and object data analysis BIOMETRICAL JOURNAL. 56(5), 758-760 DRYDEN, IAN L., LE, HUILING, PRESTON, SIMON P. and WOOD, ANDREW T. A., 2014. Mean shapes, projections and intrinsic limiting distributions JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 145, 25-32 CHENG, WEN, DRYDEN, IAN L., HITCHCOCK, DAVID B. and LE, HUILING, 2014. Analysis of spike train data: Classification and Bayesian alignment ELECTRONIC JOURNAL OF STATISTICS. 8, 1786-1792 PETRIDOU, N., GAUDES, C. C., DRYDEN, I. L., FRANCIS, S. T. and GOWLAND, P. A., 2013. Periods of rest in fMRI contain individual spontaneous events which are related to slowly fluctuating spontaneous activity Human Brain Mapping. 34, 1319--1329 ZHOU, D., DRYDEN, I. L., KOLOYDENKO, A. A. and BAI, L., 2013. Procrustes Analysis for Diffusion Tensor Image Processing International Journal of Computer Theory and Engineering. 5, 108-113,
BHATTACHARYA, R.N., BUIBAS, M., DRYDEN, I.L. and ELLINGSON, L.A., GROISSER, D., HENDRIKS, H., HUCKEMANN, S., LE, H., LIU, X., MARRON, J.S., OSBORNE, D.E., PATRANGENARU, V., SCHWARTZMAN, A., THOMPSON, H.W., AND WOOD, A.T.A., 2013. Extrinsic data analysis on sample spaces with a manifold stratificatio In: Advances in Mathematics, Invited Contributions at the Seventh Congress of Romanian Mathematicians, Brasov, 2011. 227–240
GAUDES, CESAR CABALLERO, PETRIDOU, NATALIA, FRANCIS, SUSAN T., DRYDEN, IAN L. and GOWLAND, PENNY A., 2013. Paradigm free mapping with sparse regression automatically detects single-trial functional magnetic resonance imaging blood oxygenation level dependent responses HUMAN BRAIN MAPPING. 34(3), 501-518 PETRIDOU, NATALIA, GAUDES, CESAR CABALLERO, DRYDEN, IAN L., FRANCIS, SUSAN T. and GOWLAND, PENNY A., 2013. Periods of rest in fMRI contain individual spontaneous events which are related to slowly fluctuating spontaneous activity HUMAN BRAIN MAPPING. 34(6), 1319-1329 JUNG, S., DRYDEN, I.L. and MARRON, J.S., 2012. Analysis of principal nested spheres Biometrika. 99(3), 551-568 GUTA, M., KYPRAIOS, T. and DRYDEN, I., 2012. Rank-based model selection for multiple ions quantum tomography New Journal of Physics. 14, 105002 SU, J., DRYDEN, I. L., KLASSEN, E., LE, H. and SRIVASTAVA, A., 2012. Fitting optimal curves to timeindexed,noisy observations of stochastic processes on nonlinear manifolds Journal of Image and Vision Computing. 30, 428–442 CHERNYAVSKY, I.L., LEACH, L., DRYDEN, I.L. and JENSEN, O.E., 2011. Transport in the placenta: homogenizing haemodynamics in a disordered medium Philosophical Transactions of the Royal Society. A, Mathematical, Physical, and Engineering Sciences. 369(1954), 4162-4182 GAUDES, C.C., PETRIDOU, N., DRYDEN, I.L., BAI, L., FRANCIS, S.T. and GOWLAND, P.A., 2011. Detection and characterization of single-trial fMRI bold responses: paradigm free mapping Human Brain Mapping. 32(9), 1400-1418 HIGGINS, H. M., DRYDEN, I. L. and GREEN, M. J., 2011. A Bayesian approach demonstrating that incorporation of practitioners' clinical beliefs into research design is crucial for effective knowledge transfer UDDER HEALTH AND COMMUNICATION. 133-140
CAO, YU, ZHANG, ZHIQI, CZOGIEL, IRINA, DRYDEN, IAN and WANG, SONG, 2011. 2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision 2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR).
KENOBI, K., DRYDEN, I.L. and LE, H., 2010. Shape curves and geodesic modellng Biometrika. 97(3), 567-584 HOLMAN, T J, WILSON, M H, KENOBI, K, DRYDEN, I L, HODGMAN, T C, WOOD, A T and HOLDSWORTH, M J, 2010. Statistical evaluation of transcriptomic data generated using the Affymetrix one-cycle, two-cycle and IVT-Express RNA labelling protocols with the Arabidopsis ATH1 microarray. Plant methods. 6, 9 MADOUASSE, A., HUXLEY, J.N., BROWNE, W.J., BRADLEY, A.J., DRYDEN, I.L. and GREEN, M.J., 2010. Use of individual cow milk recording data at the start of lactation to predict the calving to conception interval Journal of Dairy Science. 93(10), 4677-4690 AMARAL, GJA, DRYDEN, IL, PATRANGENARU, V and WOOD, ATA, 2010. Bootstrap Confidence Regions For The Planar Mean Shape Journal Of Statistical Planning And Inference. 140(11), 3026-3034 BRIGNELL, C.J., DRYDEN, I.L., GATTONE, S.A., PARK, B., LEASK, S., BROWNE, W.J. and FLYNN, S., 2010. Surface shape analysis with an application to brain surface asymmetry in schizophrenia Biostatistics. 11(4), 609-630 BROWNE, W.J., DRYDEN, I.L., HANDLEY, K., MIAN, S. and SCHADENDORF, D., 2010. Mixed effect modelling of proteomic mass spectrometry data by using Gaussian mixtures Journal of the Royal Statistical Society: Series C (Applied Statistics). 59(4), 617-633 MALLET, X. D. G., DRYDEN, I. L., VORDER BRUEGGE, R. and EVISON, M., 2010. An exploration of sample representativeness in anthropometric facial comparison Journal of Forensic Sciences. 55, 1025-1031,
EVISON M. P., DRYDEN I. L., FIELLER N. R. J., MALLETT X. G. D., MORECROFT L., SCHOFIELD D. and VORDERBRUEGGE R. W., 2010. Key parameters of face shape variation in 3D in a large sample Journal of Forensic Sciences. 55, 159-162,
SRIVASTAVA, ANUJ, DAMON, JAMES N., DRYDEN, IAN L. and JERMYN, IAN H., 2010. Introduction to the Special Section on Shape Analysis and Its Applications in Image Understanding IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 32(4), 577-578 MORECROFT, LUCY, FIELLER, NICK R. J., DRYDEN, IAN L. and EVISON, MARTIN PAUL, 2010. Shape Variation in Anthropometric Landmarks in 3D COMPUTER-AIDED FORENSIC FACIAL COMPARISON. 35-52 EVISON, MARTIN PAUL, MORECROFT, LUCY, FIELLER, NICK R. J. and DRYDEN, IAN L., 2010. A Large Database Sample of 3D Facial Images and Measurements COMPUTER-AIDED FORENSIC FACIAL COMPARISON. 53-69
SRIVASTAVA A, DAMON JN, DRYDEN IL and JERMYN IH, 2010. Guest editors' introduction to the special section on Shape Analysis and Its Applications in Image Understanding. IEEE transactions on pattern analysis and machine intelligence. 32(4), 577-8
DUDUIALA, C.-I., WATTIS, J.A.D., DRYDEN, I.L. and LAUGHTON, C.A., 2009. Nonlinear breathing modes at a defect site in DNA (15 pages) Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. VOL 80(NUMB 6), 061906
DRYDEN, I.L., BAI, L., BRIGNELL, C.J. and SHEN, L., 2009. Factored principal components analysis, with applications to face recognition Statistics and Computing. 19(3), 229-238 DRYDEN, I.L., KOLOYDENKO, A. and ZHOU, D., 2009. Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging Annals of Applied Statistics. 3(3), 1102-1123 DUDUIALA, CIPRIAN-IONUT, WATTIS, JONATHAN A. D., DRYDEN, IAN L. and LAUGHTON, CHARLES A., 2009. Nonlinear breathing modes at a defect site in DNA PHYSICAL REVIEW E. 80(6), BALL, F.G., DRYDEN, I.L. and GOLALIZADEH, M., 2008. Brownian motion and Ornstein-Uhlenbeck processes in planar shape space Methodology and Computing in Applied Probability. 10, 1-22 DRYDEN, I.L., KUME, A., LE, H. and WOOD, A.T.A., 2008. A multi-dimensional scaling approach to shape analysis Biometrika. 95(4), 779-798 CZOGIEL, I., DRYDEN, I.L. and BRIGNELL, C.J., 2008. Bayesian alignment of continuous molecular shapes using random fields In: The Art and Science of Statistical Bioinformatics, Leeds, University of Leeds Press.. 85--88
ZHOU, DIWEI, DRYDEN, IAN L., KOLOYDENKO, ALEXEY and LI, BAI, 2008. A Bayesian method with reparameterization for diffusion tensor imaging - art. no. 69142J MEDICAL IMAGING 2008: IMAGE PROCESSING, PTS 1-3. 6914, J9142-J9142 DRYDEN, IAN L., OXBORROW, NEIL and DICKSON, ROBERT, 2008. Familial relationships of normal spine shape STATISTICS IN MEDICINE. 27(11), 1993-2003 ALSHABANI, A.K.S., DRYDEN, I.L., LITTON, C.D. and RICHARDSON, J., 2007. Bayesian analysis of human movement curves. Journal of the Royal Statistical Society, Series C: Applied Statistics. 56(4), 415-428 ALSHABANI, A.K.S., DRYDEN, I.L. and LITTON, C.D., 2007. Partial size-and-shape distributions Journal of Multivariate Analysis. 98(10), 1988-2001 KUME, A., DRYDEN, I.L. and LE, H., 2007. Shape-space smoothing splines for planar landmark data Biometrika. 94(3), 513-528 AMARAL, G.J.A., DRYDEN, I.L. and WOOD, A.T.A., 2007. Pivotal bootstrap methods for k-sample problems in directional statistics and shape analysis Journal of the American Statistical Association. 102(478), 695-707 DRYDEN, IAN, 2007. Stereology for statisticians JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY. 170, 252-252 AMARAL, G. J. A., DRYDEN, I. L. and WOOD, ANDREW T. A., 2007. Pivotal bootstrap methods for k-sample problems in directional statistics and shape analysis JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 102(478), 695-707 BALL, F., DRYDEN, I.L. and GOLALIZADEH, M., 2006. Discussion to the paper by Beskos, Papaspiliopoulos, Roberts and Fearnhead. Journal of the Royal Statistical Society, Series B (Methodological). 68, 367--368
HODGMAN, T.C, UGARTECHEA-CHIRINO, Y., TANSLEY, G. and DRYDEN, I., 2006. The implications for bioinformatics of integration across physical scales Journal of Integrative Bioinformatics. 3(2),
ARATO, N. MIKLOS, DRYDEN, IAN L. and TAYLOR, CHARLES C., 2006. Hierarchical Bayesian modelling of spatial age-dependent mortality COMPUTATIONAL STATISTICS & DATA ANALYSIS. 51(2), 1347-1363 DRYDEN, IAN L., FARNOOSH, RAHMAN and TAYLOR, CHARLES C., 2006. Image segmentation using Voronoi polygons and MCMC, with application to muscle fibre images JOURNAL OF APPLIED STATISTICS. 33(6), 609-622 BRIGNELL, C.J., BROWNE, W.J. and DRYDEN, I., 2005. Covariance weighted Procrustes Analysis. In: Proceedings in Quantitative Biology, Shape Analysis, and Wavelets, LASR2005. 107-110
MIAN, S, UGUREL, S, PARKINSON, E, SCHLENZKA, I, DRYDEN, I, LANCASHIRE, L, BALL, G, CREASER, C, REES, R and SCHADENDORF, D, 2005. Serum proteomic fingerprinting discriminates between clinical stages and predicts disease progression in melanoma patients JOURNAL OF CLINICAL ONCOLOGY. 23(22), 5088-5093 DRYDEN, IL, SCARR, MR and TAYLOR, CC, 2003. Bayesian texture segmentation of weed and crop images using reversible jump Markov chain Monte Carlo methods JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS. 52, 31-50 KUME, A., DRYDEN, I.L., LE, H. and WOOD, A.T., 2002. Fitting cubic splines to data in shape spaces of planar configuration In: Statistics of Large Datasets. 119-122
LEASK, S.J., PARK, S.B.G., DRYDEN, I.L., GATTONE, S.A. and FLYNN, S.W., 2002. Surface shape analysis from MR images Schizophrenia Research. 53(3 - Supplement 1), 98
KUME, A., DRYDEN, I.L., LE, H. and WOOD, A.T., 2002. Fitting cubic splines to data in shape spaces of planar configuration In: Statistics of Large Datasets. 119-122
TAYLOR, CC, DRYDEN, IL and FARNOOSH, R, 2001. The K-function for nearly regular point processes BIOMETRICS. 57(1), 224-231 FREE, SL, O'HIGGINS, P, MAUDGIL, DD, DRYDEN, IL, LEMIEUX, L, FISH, DR and SHORVON, SD, 2001. Landmark-based morphometrics of the normal adult brain using MRI NEUROIMAGE. 13(5), 801-813
DRYDEN, IL and WALKER, G, 1999. Highly resistant regression and object matching BIOMETRICS. 55(3), 820-825 DRYDEN, IL and MARDIA, KV, 1998. Statistical shape analysis Chichester : John Wiley & Sons.
DRYDEN, IL and MARDIA, KV, 1992. SIZE AND SHAPE-ANALYSIS OF LANDMARK DATA BIOMETRIKA. 79(1), 57-68
O'HIGGINS, P. and DRYDEN, I. L., 1992. Studies of craniofacial development and evolution Archaeology in Oceania. 27(3), 105-112