###### variance

- Multivariate analysis of variance. (indiana.edu)
- Y502) in applied statistics which covered ordinary least squares regression models and analysis of variance in factorial designs. (indiana.edu)
- In statistics, multivariate analysis of variance (MANOVA) is a procedure for comparing multivariate sample means. (wikipedia.org)
- MANOVA is a generalized form of univariate analysis of variance (ANOVA), although, unlike univariate ANOVA, it uses the covariance between outcome variables in testing the statistical significance of the mean differences. (wikipedia.org)
- Where sums of squares appear in univariate analysis of variance, in multivariate analysis of variance certain positive-definite matrices appear. (wikipedia.org)
- Multivariate Analysis of Variance (MANOVA): I. Theory" (PDF). (wikipedia.org)
- A commonly used multivariate version of the ANOVA F-statistic is Wilks' Lambda (Λ), which represents the ratio between the error variance (or covariance) and the effect variance (or covariance). (wikipedia.org)
- Multiple analysis of variance (MANOVA) or multiple analysis of covariance (MANCOVA). (wikipedia.org)
- A class for the multivariate analysis of variance. (psu.edu)
- In statistics, Wilks's lambda distribution (named for Samuel S. Wilks), is a probability distribution used in multivariate hypothesis testing, especially with regard to the likelihood-ratio test and multivariate analysis of variance (MANOVA). (wikipedia.org)
- Repeated measures analysis of variance (rANOVA) is a commonly used statistical approach to repeated measure designs. (wikipedia.org)
- This section contains an example with a one-way analysis of variance (ANOVA) with three groups and seven observations. (wikipedia.org)
- The growth curve model in statistics is a specific multivariate linear model, also known as GMANOVA (Generalized Multivariate ANalysis-Of-VAriance). (wikipedia.org)
- R.F. Potthoff and S.N. Roy, "A generalized multivariate analysis of variance model useful especially for growth curve problems," Biometrika, vol. 51, pp. 313-326, 1964 Wishart, John (1938). (wikipedia.org)

###### univariate

- The same data connections are used for model building and ongoing multivariate and univariate SPC analysis. (adeptscience.co.uk)
- The same Data Set and database connection is used for model building and ongoing univariate and multivariate SPC charting and analysis. (adeptscience.co.uk)
- The distribution arises in multivariate statistics in undertaking tests of the differences between the (multivariate) means of different populations, where tests for univariate problems would make use of a t-test. (wikipedia.org)
- Hypothesis tests with the general linear model can be made in two ways: multivariate or as several independent univariate tests. (wikipedia.org)
- In multivariate tests the columns of Y are tested together, whereas in univariate tests the columns of Y are tested independently, i.e., as multiple univariate tests with the same design matrix. (wikipedia.org)
- Univariate and multivariate general linear models: Theory and applications with SAS (with 1 CD-ROM for Windows and UNIX). (wikipedia.org)

###### MANOVA

- Discriminant function analysis ANCOVA MANOVA Statsoft Textbook, ANOVA/MANOVA. (wikipedia.org)
- If the errors do not follow a multivariate normal distribution, generalized linear models may be used to relax assumptions about Y and U. The general linear model incorporates a number of different statistical models: ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, t-test and F-test. (wikipedia.org)

###### Matrices

- Regularized canonical correlation analysis is a way of using ridge regression to solve the singularity problem in the cross-covariance matrices of canonical correlation analysis. (wikipedia.org)
- frac {\nu +p+1}{2}}}e^{-{\frac {1}{2}}\operatorname {tr} ({\mathbf {\Psi } }\mathbf {X} ^{-1})}} where X {\displaystyle \mathbf {X} } and Ψ {\displaystyle {\mathbf {\Psi } }} are p × p {\displaystyle p\times p} positive definite matrices, and Γp(·) is the multivariate gamma function. (wikipedia.org)
- Advanced multivariate statistics with matrices. (wikipedia.org)
- It collects the various partial derivatives of a single function with respect to many variables, and/or of a multivariate function with respect to a single variable, into vectors and matrices that can be treated as single entities. (wikipedia.org)

###### methods

- The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. (springer.com)
- Factor analysis: Statistical methods and practical Issues. (indiana.edu)
- Multivariate analysis of covariance (MANCOVA) is an extension of analysis of covariance (ANCOVA) methods to cover cases where there is more than one dependent variable and where the control of concomitant continuous independent variables - covariates - is required. (wikipedia.org)
- Linear Statistical Models and Related Methods With Applications to Social Research John Fox A comprehensive, modern treatment of linear models and their variants and extensions, combining statistical theory with applied data analysis. (google.com)
- He is a co-author of Discrete Discriminant Analysis and intermediate Statistical Methods. (google.com)
- Methods of Multivariate Analysis was among those chosen. (ebooks.com)
- The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. (ebooks.com)
- Rencher takes a "methods" approach to his subject, with an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. (ebooks.com)
- Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians. (ebooks.com)
- In statistics, the multivariate normal distribution (of Gauss) is used in classical multivariate analysis, in which most methods for estimation and hypothesis-testing are motivated for the normal distribution. (wikipedia.org)
- Cluster Analysis of the Newcastle Electronic Corpus of Tyneside English : A Comparison of Methods. (wikipedia.org)

###### hypothesis

- Hotelling's t-squared statistic (t2) is a generalization of Student's t-statistic that is used in multivariate hypothesis testing. (wikipedia.org)

###### 1987

- An example is provided by the analysis of trend in sea-level by Woodworth (1987). (wikipedia.org)

###### Gaussian

- If the vector pd1 is Gaussian multivariate-distributed with zero mean and unit covariance matrix N(p01,pIp) and pMp is a p x p matrix with unit scale matrix and m degrees of freedom with a Wishart distribution W(pIp,m), then the Quadratic form m(1dT p M−1pd1) has a Hotelling T2(p,m) distribution with dimensionality parameter p and m degrees of freedom. (wikipedia.org)
- mathbf {X} )}} has a W − 1 ( A + Ψ , n + ν ) {\displaystyle {\mathcal {W}}^{-1}({\mathbf {A} }+{\mathbf {\Psi } },n+\nu )} distribution, where A = X X T {\displaystyle {\mathbf {A} }=\mathbf {X} \mathbf {X} ^{T}} . Because the prior and posterior distributions are the same family, we say the inverse Wishart distribution is conjugate to the multivariate Gaussian. (wikipedia.org)

###### Vectors

- The definition of elliptical distributions for real random-vectors has been extended to accommodate random vectors in Euclidean spaces over the field of complex numbers, so facilitating applications in time-series analysis. (wikipedia.org)

###### Wiley

- He is the author of Linear Models in Statistics and Multivariate Statistical Inference and Applications, both available from Wiley. (ebooks.com)

###### statistics

- This book presents topics in multivariate statistics in ten chapters. (springer.com)
- Because the book takes on a practical approach to multivariate statistics with numerous examples, graduate students will find an excellent source for hands-on practice. (springer.com)
- Multivariate analysis (MVA) is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical outcome variable at a time. (wikipedia.org)
- Objectives 1.To understand the logic behind multivariate statistics (MS) and to apply selected MS procedures to well-defined social sciences and educational research questions. (indiana.edu)
- Using multivariate statistics (4th ed. (indiana.edu)
- Applied multivariate statistics for the social sciences. (wikipedia.org)
- This is one of the best books on Multivariate Statistics thta I have ever read. (google.com)
- In statistics Hotelling's T-squared distribution (T2) is a multivariate distribution proportional to the F-distribution and arises importantly as the distribution of a set of statistics which are natural generalizations of the statistics underlying Student's t-distribution. (wikipedia.org)
- In Bayesian statistics it is used as the conjugate prior for the covariance matrix of a multivariate normal distribution. (wikipedia.org)
- In statistics, linear least squares problems correspond to a particularly important type of statistical model called linear regression which arises as a particular form of regression analysis. (wikipedia.org)
- In probability and statistics, an elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normal distribution. (wikipedia.org)
- In statistics, the normal distribution is used in classical multivariate analysis, while elliptical distributions are used in generalized multivariate analysis, for the study of symmetric distributions with tails that are heavy, like the multivariate t-distribution, or light (in comparison with the normal distribution). (wikipedia.org)
- Elliptical distributions are also used in robust statistics to evaluate proposed multivariate-statistical procedures. (wikipedia.org)
- Hidden Markov models Factor analysis Principal component analysis Partial least squares regression Latent semantic analysis and Probabilistic latent semantic analysis EM algorithms Bayesian statistics is often used for inferring latent variables. (wikipedia.org)
- A bibliography of 761 of de Leeuw's writings in the field of data analysis, statistics, and psychometrics from 1965-2017, with downloadable pdf's of 653 entries and web links to 100 more, is accessible from his homepage gifi.stat.ucla.edu. (wikipedia.org)

###### generalization

- As such it can be regarded as a multivariate generalization of the beta distribution. (wikipedia.org)

###### Exploratory

- Moisl HL, Maguire W, Allen W. Phonetic variation in Tyneside : Exploratory multivariate analysis of the Newcastle Electronic Corpus of Tyneside English. (wikipedia.org)
- Exploratory Multivariate Analysis. (wikipedia.org)

###### Bayesian

- Bayesian multivariate linear regression Comparison of general and generalized linear models K. V. Mardia, J. T. Kent and J. M. Bibby (1979). (wikipedia.org)
- Bayesian Inference in Statistical Analysis. (wikipedia.org)

###### 1996

- M.A. level "likelihood" approach) Feinstein, A. R. (1996) Multivariable Analysis. (wikipedia.org)
- Advanced) Sharma, S. (1996) Applied Multivariate Techniques. (wikipedia.org)

###### textbook

- It can also be used as a textbook on various topics of multivariate statistical analysis. (springer.com)

###### multidimensional

- In Multidimensional Scaling, Volume 1, Cox and Cox write that "Albert Gifi is the nom de plume of members, past and present, of the Department of Data Theory at the University of Leiden who devised a system of nonlinear multivariate analysis that extends various techniques, such as principal components analysis and canonical correlation analysis. (wikipedia.org)

###### Discriminant

- Discriminant analysis. (indiana.edu)
- Organized into six chapters, this book begins with an overview of the three problems in multiple regression, principal components analysis, and multiple discriminant analysis. (elsevier.com)
- Discriminant function analysis Repeated measures design Canonical correlation analysis Warne, R. T. (2014). (wikipedia.org)
- Dr. Dillon is the co-author of Discrete Discriminant Analysis and is on the editorial boards of the Journal of Business Research and Journal of Marketing Research. (google.com)
- Discriminant Analysis: Description of Group Separation. (ebooks.com)

###### Wishart

- Chi-squared distribution F-distribution Gamma distribution Hotelling's T-squared distribution Student's t-distribution Wishart distribution Multivariate beta distribution Kanti Mardia, John T. Kent and John Bibby (1979). (wikipedia.org)
- Many writers have considered the growth curve analysis among them Wishart (1938), Box (1950) and Rao (1958). (wikipedia.org)

###### mathematical

- An aptitude for mathematical analysis and SAS programming is beneficial, though not required. (indiana.edu)
- Mathematical Tools for Applied Multivariate Analysis provides information pertinent to the aspects of transformational geometry, matrix algebra, and the calculus that are most relevant for the study of multivariate analysis. (elsevier.com)
- This book discusses the mathematical foundations of applied multivariate analysis. (elsevier.com)

###### factor analysis

- Overview: Factor analysis is used to uncover the latent structure (dimensions) of a set of variables. (wikipedia.org)
- Factor analysis originated a century ago[when? (wikipedia.org)
- For example, integration of drilling and seismic data Factor analysis is part of the general linear model (GLM) family of procedures and makes many of the same assumptions as multiple regression, but it uses multiple outcomes. (wikipedia.org)
- Introduction to factor analysis. (indiana.edu)
- The "Big Five personality traits" have been inferred using factor analysis. (wikipedia.org)

###### differences

- The multivariate aspect of the MANCOVA allows the characterisation of differences in group means in regards to a linear combination of multiple dependent variables, while simultaneously controlling for covariates. (wikipedia.org)
- This multivariate technique accounts for differences in the variances of component indexes as well as interdependence among the component indexes. (repec.org)

###### multilevel analysis

- De Leeuw is coauthor of Introducing Multilevel Modeling (1998) and co-editor of the "Handbook of Multilevel Analysis" (2009). (wikipedia.org)
- Introducing Multilevel Modeling Handbook of Multilevel Analysis De Leeuw's Rpub Page De Leeuw's Research Gate Page homals on CRAN. (wikipedia.org)

###### 1997

- Schafer, J. L. (1997) Analysis of Incomplete Multivariate Data. (wikipedia.org)
- and Editor-in-Chief for the Journal of Multivariate Analysis (1997-2015). (wikipedia.org)

###### canonical correlat

- Canonical correlation analysis: Uses and interpretation. (indiana.edu)

###### Observations

- Classification Analysis: Allocation of Observations to Groups. (ebooks.com)

###### chapters

- Other chapters consider the topics of eigenstructures and linear transformations that are important to the understanding of multivariate techniques. (elsevier.com)

###### Vector

- Representing a major improvement upon the standard "black box" approach to analyzing economic model structure, it introduces the powerful concept of parameter sensitivity analysis within a linear systems root/vector framework. (google.com)

###### cluster analysis

- Cluster analysis. (indiana.edu)

###### latent

- Dr. Wallentin's program of research is on the theory and applications of latent variable modeling and other types of multivariate statistical analysis, particularly their applications in the social and behavioral sciences. (springer.com)

###### Data Analysis

- Hair, J. F. Jr. (1995) Multivariate Data Analysis with Readings, 4th ed. (wikipedia.org)
- Yet again Origin and OriginPro upholds its foremost status as the best purposeful and all-embracing data analysis and graphing software on the market. (adeptscience.co.uk)
- Although other software packages exist, few are as straightforward to use, flexible, and high-quality when it comes to performing challenging data analysis or creating publication superior graphs. (adeptscience.co.uk)

###### examples

- To illustrate multivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. (ebooks.com)

###### theory

- This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. (springer.com)

###### Regression Analysis

- See Outline of regression analysis for an outline of the topic. (wikipedia.org)

###### researchers

- Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. (ebooks.com)
- Longitudinal analysis-Repeated measure designs allow researchers to monitor how participants change over time, both long- and short-term situations. (wikipedia.org)

###### evaluate

- 2.To be able to objectively evaluate manuscripts in which selected MS analyses were employed. (indiana.edu)

###### extension

- A Multivariate Analysis and Extension of the Human Development Index ," Working Papers 2004-01, Utah State University, Department of Economics. (repec.org)

###### Journal

- The Journal of Multivariate Analysis is a monthly peer-reviewed scientific journal that covers applications and research in the field of multivariate statistical analysis. (wikipedia.org)

###### measurements

- The errors are usually assumed to be uncorrelated across measurements, and follow a multivariate normal distribution. (wikipedia.org)
- Linear and Nonlinear Models for the Analysis of Repeated Measurements. (wikipedia.org)

###### general

- The general linear model or multivariate regression model is a statistical linear model. (wikipedia.org)
- An application of the general linear model appears in the analysis of multiple brain scans in scientific experiments where Y contains data from brain scanners, X contains experimental design variables and confounds. (wikipedia.org)

###### measures

- A multivariate technique called principal component analysis is used to combine measures of human development. (repec.org)

###### principal

- Could Principal Component analysis help here or just using a Pareto Plot? (eng-tips.com)
- Principal Component Analysis. (ebooks.com)

###### thesis

- In 1973 he received his PhD cum laude with a thesis entitled "Canonical Analysis of Categorical Data" advised by John P. van de Geer. (wikipedia.org)

###### Techniques

- Fully integrated model building combines Quality Analyst's exceptional database connectivity capabilities with Pirouette's comprehensive multivariate modeling techniques. (adeptscience.co.uk)

###### normal

- The Multivariate Normal Distribution. (ebooks.com)

###### tests

- This analysis tests two models: model I excludes variables based on worker perceptions that were suspected to be endogenous with job satisfaction ( HHA feels valued by organization, Aide feels involved in challenging work, Aide feels trusted with patient care decisions, Aide feels confident in ability to do job, Time for ADLs, Satisfaction with hours, Aide feels respected by supervisor, Aide feels respected by patients ), while model II includes these variables. (hhs.gov)
- As a multivariate procedure, it is used when there are two or more dependent variables, and is typically followed by significance tests involving individual dependent variables separately. (wikipedia.org)

###### model

- Real-time multivariate SPC is provided by NWA Focus EMI using the same Data Sets and model definitions created for off-line SPC charting and analysis. (adeptscience.co.uk)
- Pirouette is only required to build the multivariate model. (adeptscience.co.uk)

###### results

- 3.To carry out MS analyses of data by SAS software and to interpret the analysis results in written reports. (indiana.edu)
- The results showed that inclusion of the covariate allowed improved estimates of the trend against time to be obtained, compared to analyses which omitted the covariate. (wikipedia.org)
- The gametic disequilibria between all possible pairs of loci were examined for a set of eight codominant loci in each of fifty Yanomama villages, using a multivariate correlation analysis which reduces the results to a single measure of departure from multiple-locus-gametic equilibrium. (genetics.org)

###### uses

- Uses for multivariate analysis include: design for capability (also known as capability-based design) inverse design, where any variable can be treated as an independent variable Analysis of Alternatives (AoA), the selection of concepts to fulfil a customer need analysis of concepts with respect to changing scenarios identification of critical design-drivers and correlations across hierarchical levels. (wikipedia.org)
- method uses a multivariate test statistic for the summary table. (ethz.ch)

###### Definitions

- Multivariate models are incorporated into the Quality Analyst Data Set definitions. (adeptscience.co.uk)

###### variables

- In design and analysis, the technique is used to perform trade studies across multiple dimensions while taking into account the effects of all variables on the responses of interest. (wikipedia.org)

###### Behavioral Research

- Multivariate Behavioral Research, 43, 210-236. (wikipedia.org)
- Multivariate Behavioral Research. (wikipedia.org)

###### Univariate

- Univariate and bivariate analysis were conducted to study the association between explanatory and outcome variable. (hindawi.com)
- for example, the fundamental theorem of algebra and Euclid's algorithm for polynomials are fundamental properties of univariate polynomials that cannot be generalized to multivariate polynomials. (wikipedia.org)
- In time series analysis, the term is applied with a whole time series as the object referred to: thus a univariate time series refers to the set of values over time of a single quantity. (wikipedia.org)
- Thus there is a minor conflict of terminology since the values within a univariate time series may be treated using certain types of multivariate statistical analyses and may be represented using multivariate distributions. (wikipedia.org)

###### polynomial

- For representing a multivariate polynomial that takes only non-negative values over the reals as a sum of squares of rational functions, see Hilbert's seventeenth problem. (wikipedia.org)

###### Advances

- McLachlan is currently serving on the editorial boards of the journals: Advances in Data Analysis and Classification, BMC Bioinformatics, Cancer Informatics, Journal of Classification, Statistics and Computing, Statistical Modelling, Statistics Surveys, and WIREs Data Mining and Knowledge Discovery. (wikipedia.org)

###### statistical

- In the Institute of Computer Science PAS, she had been leader of the Statistical Data Analysis division for many years. (wikipedia.org)
- In addition, during that year, he was elected to the Society of Multivariate Experimental Psychology and became a faculty associate at the Statistical and Applied Mathematical Sciences Institute, leading a group for multilevel latent variable models. (wikipedia.org)
- International Standard Book Number ISBN 978-0-471-00626-8 Discriminant Analysis and Statistical Pattern Recognition, G.J. McLachlan (1992). (wikipedia.org)

###### practice

- Classic parametric methods, like Pearson correlation coefficient, or least squares method produce comparable results only for comparable distribution types (in practice multivariate normal distribution is being assumed). (wikipedia.org)

###### Variance

- Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows. (wikipedia.org)

###### spectral

- The system includes a processor module responsive to the output signal which performs spectral analysis of the output signal and generates a control signal. (google.com.au)
- It also avoids the modest separation efficiency and poor mass spectral sensitivity associated with intact protein analysis. (wikipedia.org)

###### Statistics

- Einführung in die induktive und multivariate Statistik (Introduction to Deductive and Multivariate Statistics), lecture, Leibniz Universität Hannover, winter semester 2013/14. (uni-hannover.de)
- For the reasons mentioned above, Elżbieta Pleszczyńska is a strong advocate of explorative data analysis and non-parametric statistics, like Spearman's rho, Kendall's tau, or grade data analysis. (wikipedia.org)
- In the field of multivariate statistics, kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. (wikipedia.org)

###### Proteomics

- Shotgun proteomics can be used for functional classification or comparative analysis of these protein products. (wikipedia.org)

###### types

- Objects of any of these types involving more than one variable may be called multivariate. (wikipedia.org)

###### control

- Regression analyses, which control in various ways for precipitation, technological change, soils, and location-specific unobserved factors, all show a similar nonlinear relationship between temperature and yields. (pnas.org)
- As reported in Journal of the National Cancer Institute , Mehta and colleagues found that subjects in the highest (5th) quintile of plasma MIC-1 as measured by enzyme-linked immunosorbent assay had significantly increased risk of colorectal cancer (relative risk [RR] = 1.93, P = .004 for trend) compared with the lowest quintile on multivariate analysis in a nested case-control study. (ascopost.com)

###### study

- We report here the analysis of the GC-MS and 1H-NMR metabolomes of serum samples from a randomized cross-over study in 11 healthy volunteers having consumed isocaloric amounts of milk, cheese, and a soy drink as non-dairy alternative. (mdpi.com)
- A multivariate analysis of the untargeted serum metabolomes, combined with a targeted analysis of candidate FIBs previously reported in urine samples from the same study, identified galactitol, galactonate, and galactono-1,5-lactone (milk), 3-phenyllactic acid (cheese), and pinitol (soy drink) as candidate FIBs for these products. (mdpi.com)
- Low baseline plasma HGF levels among 310 patients with advanced clear-cell RCC correlated with overall survival (OS) in the patients treated with interferon-α (IFN-α) with or without bevacizumab-and plasma HGF levels remained prognostic at 4 weeks in multivariate analyses, reported the lead study author of the first study (abstract 4522 ), Daniel J. George, MD, of the Duke Cancer Institute in Durham, North Carolina. (cancernetwork.com)

###### Studies

- Finally, an analysis of the postprandial behavior of candidate FIBs, in particular the dairy fatty acids pentadecanoic acid and heptadecanoic acid, revealed specific kinetic patterns of relevance to their detection in future validation studies. (mdpi.com)

###### Results

- Other cryptographic results of Courtois include algebraic attacks on stream ciphers, attacks on the KeeLoq and Hitag 2 systems used for remote keyless automobile entry systems, and an analysis of cryptographic weaknesses in public transit smart cards including the London Underground Oyster card and the Dutch OV-chipkaart. (wikipedia.org)

###### signal

- Let X 1 {\displaystyle \mathbf {X} _{1}} of size ( n , t 1 ) {\displaystyle (n,t_{1})} and X 2 {\displaystyle \mathbf {X} _{2}} of size ( n , t 2 ) {\displaystyle (n,t_{2})} be two windows of a multivariate signal, where n {\displaystyle n} is the number of signals and t 1 {\displaystyle t_{1}} and t 2 {\displaystyle t_{2}} are the respective number of samples. (wikipedia.org)

###### Principal

- If there is only one window, R 2 {\displaystyle \mathbf {R} _{2}} can be considered as the identity matrix and then CSP corresponds to Principal component analysis. (wikipedia.org)

###### Time Series A

- Her habilitation thesis, titled "Trend Estimation Problems in Time Series Analysis", was accepted in 1973. (wikipedia.org)

###### various

- This analysis allows researchers to profile various biological systems. (wikipedia.org)

###### complex

- The analyses show the flexibility and capacity of asreml for complex modelling. (springer.com)

###### report

- Another report on RCC biomarker development (abstract 4523 ) involved an analysis of the correlation of PBRM1 and BAP1 mutations with angiogenesis expression signatures in patients on first-line tyrosine kinase inhibitor (TKI) therapy, by Martin H. Voss, MD, and colleagues at Memorial Sloan Kettering Cancer Center in New York. (cancernetwork.com)

###### According

- According to R. Blutner and E. Hochnadel, "socionics is not so much a theory of personalities per se, but much more a theory of type relations providing an analysis of the relationships that arise as a consequence of the interaction of people with different personalities. (wikipedia.org)