An Introduction to Multivariate Statistical Analysis

Bootstrap methods: another look at the jackknife

Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602

STATISTICAL ANALYSIS OF COINTEGRATION VECTORS

Johansen, S. (1988) · Journal of Economic Dynamics and Control · doi:10.1016/0165-1889(88)90041-3 · Cited by 17,027

MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY

Johansen, S., & Juselius, K. (1990) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.1990.mp52002003.x · Cited by 14,051

Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis

Edwards, J. R., & Lambert, L. S. (2007) · Psychological Methods · doi:10.1037/1082-989x.12.1.1 · Cited by 4,711

Missing Value Estimation Methods for DNA Microarrays

Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., & Altman, R. B. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.6.520 · Cited by 4,230

Principal component analysis

Bro, R., & Smilde, A. K. (2014) · Anal. Methods · doi:10.1039/c3ay41907j · Cited by 3,038

A methodology for performing global uncertainty and sensitivity analysis in systems biology

Marino, S., Hogue, I. B., Ray, C. J., & Kirschner, D. E. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.04.011 · Cited by 2,999

Big data: A survey

Chen, M., Mao, S., & Liu, Y. (2014) · Mobile Networks and Applications · doi:10.1007/s11036-013-0489-0 · Cited by 2,913

Simplified neuron model as a principal component analyzer

Oja, E. (1982) · Journal of Mathematical Biology · doi:10.1007/bf00275687 · Cited by 2,309

The analysis of visual motion: a comparison of neuronal and psychophysical performance

Britten, K., Shadlen, M., Newsome, W., & Movshon, J. (1992) · The Journal of Neuroscience · doi:10.1523/jneurosci.12-12-04745.1992 · Cited by 1,958

Panel Data Models With Interactive Fixed Effects

(2009) · Econometrica · doi:10.3982/ecta6135 · Cited by 1,690

Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

Lahat, D., Adali, T., & Jutten, C. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2460697 · Cited by 1,296

Controlling for endogeneity with instrumental variables in strategic management research

Bascle, G. (2008) · Strategic Organization · doi:10.1177/1476127008094339 · Cited by 1,133

Conditions under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-Distributions

Huynh, H., & Feldt, L. S. (1970) · Journal of the American Statistical Association · doi:10.2307/2284340 · Cited by 945

Comparison of Stopping Rules in Forward “Stepwise” Regression

Bendel, R. B., & Afifi, A. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10479905 · Cited by 885

A computational analysis of the relationship between neuronal and behavioral responses to visual motion

Shadlen, M., Britten, K., Newsome, W., & Movshon, J. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-04-01486.1996 · Cited by 824

Econometric Models for Probabilistic Choice Among Products

McFadden, D. (1980) · The Journal of Business · doi:10.1086/296093 · Cited by 766

Comparison of Multivariate Matching Methods: Structures, Distances, and Algorithms

Gu, X. S., & Rosenbaum, P. R. (1993) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1993.10474623 · Cited by 702

CFHTLenS tomographic weak lensing cosmological parameter constraints: Mitigating the impact of intrinsic galaxy alignments

Heymans, C., Grocutt, E., Heavens, A., Kilbinger, M., Kitching, T. D., Simpson, F., Benjamin, J., Erben, T., Hildebrandt, H., Hoekstra, H., et al. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stt601 · Cited by 649

On choosing a test statistic in multivariate analysis of variance

Olson, C. L. (1976) · Psychological Bulletin · doi:10.1037/0033-2909.83.4.579 · Cited by 649

A representation of the hazard rate of elapsed time in macaque area LIP

Janssen, P., & Shadlen, M. N. (2005) · Nature Neuroscience · doi:10.1038/nn1386 · Cited by 601

Meta-analysis of screening and diagnostic tests.

Hasselblad, V., & Hedges, L. V. (1995) · Psychological Bulletin · doi:10.1037/0033-2909.117.1.167 · Cited by 579

Matrix Completion Methods for Causal Panel Data Models

Athey, S., Bayati, M., Doudchenko, N., Imbens, G., & Khosravi, K. (2018) · doi:10.3386/w25132 · Cited by 497

The metabolic topography of parkinsonism

Eidelberg, D., Moeller, J. R., Dhawan, V., Spetsieris, P., Takikawa, S., Ishikawa, T., Chaly, T., Robeson, W., Margouleff, D., Przedborski, S., et al. (1994) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1994.99 · Cited by 455

Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review

Congedo, M., Barachant, A., & Bhatia, R. (2017) · Brain-Computer Interfaces · doi:10.1080/2326263x.2017.1297192 · Cited by 456

A comparison of phenotypic variation and covariation patterns and the role of phylogeny, ecology, and ontogeny during cranial evolution of new world monkeys

Marroig, G., & Cheverud, J. M. (2001) · Evolution · doi:10.1111/j.0014-3820.2001.tb00770.x · Cited by 425

Prevalence of neural collapse during the terminal phase of deep learning training

Papyan, V., Han, X. Y., & Donoho, D. L. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015509117 · Cited by 403

Unified univariate and multivariate random field theory

Worsley, K. J., Taylor, J. E., Tomaiuolo, F., & Lerch, J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.026 · Cited by 370

A comparison of methods for defining sociometric status among children.

Terry, R., & Coie, J. D. (1991) · Developmental Psychology · doi:10.1037/0012-1649.27.5.867 · Cited by 281

Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging

Wang, L., Swank, J. S., Glick, I. E., Gado, M. H., Miller, M. I., Morris, J. C., & Csernansky, J. G. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00361-6 · Cited by 263

Goodness of prediction fit

AITCHISON, J. (1975) · Biometrika · doi:10.1093/biomet/62.3.547 · Cited by 256

Personality change in women from college to midlife.

Helson, R., & Moane, G. (1987) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.53.1.176 · Cited by 239

Learning and comparing functional connectomes across subjects

Varoquaux, G., & Craddock, R. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.007 · Cited by 233

Fruit and vegetable intake and risk of breast cancer by hormone receptor status

Jung, S., Spiegelman, D., Baglietto, L., Bernstein, L., Boggs, D. A., van den Brandt, P. A., Buring, J. E., Cerhan, J. R., Gaudet, M. M., Giles, G. G., et al. (2013) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djs635 · Cited by 183

Non-Optimality of Preliminary-Test Estimators for the Mean of a Multivariate Normal Distribution

Sclove, S. L., Morris, C., & Radhakrishnan, R. (1972) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177692380 · Cited by 180

Influence of imputation and EM methods on factor analysis when item nonresponse in questionnaire data is nonignorable

Bernaards, C. A., & Sijtsma, K. (2000) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3503_03 · Cited by 177

Approximate Power for Repeated-Measures ANOVA Lacking Sphericity

Muller, K. E., & Barton, C. N. (1989) · Journal of the American Statistical Association · doi:10.2307/2289941 · Cited by 177

Network Position and Cognition in a Computer Software Firm

Walker, G. (1985) · Administrative Science Quarterly · doi:10.2307/2392814 · Cited by 129

Finite samples and uncertainty estimates for skill measures for seasonal prediction.

Kumar, A. (2009) · Monthly Weather Review · doi:10.1175/2009mwr2814.1 · Cited by 119

Integrating Probability and Nonprobability Samples for Survey Inference

Wiśniowski, A., Sakshaug, J. W., Perez Ruiz, D. A., & Blom, A. G. (2020) · Journal of Survey Statistics and Methodology · doi:10.1093/jssam/smz051 · Cited by 102

Practical methods for computing power in testing the multivariate general linear hypothesis

Muller, K. E., & Peterson, B. L. (1984) · Computational Statistics & Data Analysis · doi:10.1016/0167-9473(84)90002-1 · Cited by 95

Regression Estimation after Correcting for Attenuation

Fuller, W. A., & Hidiroglou, M. A. (1978) · Journal of the American Statistical Association · doi:10.1080/01621459.1978.10480011 · Cited by 90

Closed Testing Procedures for Group Sequential Clinical Trials with Multiple Endpoints

Tang, D., & Geller, N. L. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.01188.x · Cited by 81

Co-expression networks: graph properties and topological comparisons

Xulvi-Brunet, R., & Li, H. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp632 · Cited by 77

Public Perceptions On Water Reuse Options: The Case Of Sulaibiya Wastewater Treatment Plant In Kuwait

Alhumoud, J. M., & Madzikanda, D. (2010) · International Business & Economics Research Journal (IBER) · doi:10.19030/iber.v9i1.515 · Cited by 71

A comparison of equid herpesvirus-1 (EHV-1) vascular lesions in the early versus late pregnant equine uterus

Smith, K. C., Mumford, J. A., & Lakhani, K. (1996) · Journal of Comparative Pathology · doi:10.1016/s0021-9975(96)80045-4 · Cited by 68

Partial Least Square (PLS) Analysis: Most Favorite Tool in Chemometrics to Build a Calibration Model

Kumar, K. (2021) · Resonance · doi:10.1007/s12045-021-1140-1 · Cited by 62

A Stochastic Differential Equation Model of Diurnal Cortisol Patterns

Brown, E. N., Meehan, P. M., & Dempster, A. P. (2001) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2001.280.3.e450 · Cited by 61

Modulation of Caspase Activity Regulates Skeletal Muscle Regeneration and Function in Response to Vasopressin and Tumor Necrosis Factor

Moresi, V., Garcia-Alvarez, G., Pristerà, A., Rizzuto, E., Albertini, M. C., Rocchi, M., Marazzi, G., Sassoon, D., Adamo, S., & Coletti, D. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005570 · Cited by 60

Prescript-assist™ probiotic-prebiotic treatment for irritable bowel syndrome: A methodologically oriented, 2-week, randomized, placebo-controlled, double-blind clinical study

Bittner, A. C., Croffut, R. M., & Stranahan, M. C. (2005) · Clinical Therapeutics · doi:10.1016/j.clinthera.2005.06.005 · Cited by 55

Accuracy, precision and user-acceptability of self blood glucose monitoring machines

Chan, J. C. N., Wong, R. Y. M., Cheung, C.-K., Lam, P., Chow, C.-C., Yeung, V. T. F., Kan, E. C. Y., Loo, K.-M., Mong, M. Y. L., & Cockram, C. S. (1997) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(97)00036-3 · Cited by 52

Law of log determinant of sample covariance matrix and optimal estimation of differential entropy for high-dimensional Gaussian distributions

Cai, T. T., Liang, T., & Zhou, H. H. (2015) · Journal of Multivariate Analysis · doi:10.1016/j.jmva.2015.02.003 · Cited by 52

Chemometric analysis and volatile compounds of traditional balsamic vinegars from Modena

Del Signore, A. (2001) · Journal of Food Engineering · doi:10.1016/s0260-8774(00)00195-3 · Cited by 43

Touchable area: An empirical study on design approach considering perception size and touch input behavior

Jung, E. S., & Im, Y. (2015) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2015.05.008 · Cited by 36

The relationship between craving, anxiety, and other symptoms in opioid withdrawal

Swift, R. M., & Stout, R. L. (1992) · Journal of Substance Abuse · doi:10.1016/0899-3289(92)90024-r · Cited by 35

Statistics for the Luria-Delbrück distribution.

Hamon, A., & Ycart, B. (2012) · Electronic Journal of Statistics · doi:10.1214/12-ejs711 · Cited by 31

Modelling of facial growth in Czech children based on longitudinal data: Age progression from 12 to 15 years using 3D surface models

Koudelová, J., Dupej, J., Brůžek, J., Sedlak, P., & Velemínská, J. (2015) · Forensic Science International · doi:10.1016/j.forsciint.2014.12.005 · Cited by 28

Investigation of Icon Design and Touchable Area for Effective Smart Phone Controls

Im, Y., Kim, T., & Jung, E. S. (2015) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.20593 · Cited by 26

Prescript-assist™ probiotic-prebiotic treatment for irritable bowel syndrome: An open-label, partially controlled, 1-year extension of a previously published controlled clinical trial

Bittner, A. C., Croffut, R. M., Stranahan, M. C., & Yokelson, T. N. (2007) · Clinical Therapeutics · doi:10.1016/j.clinthera.2007.06.010 · Cited by 25

Integrating many co-splicing networks to reconstruct splicing regulatory modules

Dai, C., Li, W., Liu, J., & Zhou, X. J. (2012) · BMC Systems Biology · doi:10.1186/1752-0509-6-s1-s17 · Cited by 20

A power approximation for the Kenward and Roger Wald test in the linear mixed model

Kreidler, S. M., Ringham, B. M., Muller, K. E., & Glueck, D. H. (2021) · PLOS ONE · doi:10.1371/journal.pone.0254811 · Cited by 9

A note on the exact computation of the Student Snedecor and sample correlation coefficient distribution functions

Barabesi, L., & Greco, L. (2002) · Journal of the Royal Statistical Society: Series D (The Statistician) · doi:10.1111/1467-9884.00302 · Cited by 7