Citation Impact

Citing Papers

Building Predictive Models in R Using the caret Package
2008 Standout
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
2019 Standout
Reporting practices in confirmatory factor analysis: An overview and some recommendations.
2009 Standout
Matching Methods for Causal Inference: A Review and a Look Forward
2010 Standout
Sphingolipids and their metabolism in physiology and disease
2017 Standout
Estimating the proportion of studies missing for meta-analysis due to publication bias
2008
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
2016 Standout
Test of linear trend in eigenvalues of a covariance matrix with application to data analysis
1996
An Empirical Evaluation of Alternative Methods of Estimation for Confirmatory Factor Analysis With Ordinal Data.
2004 Standout
A robust P‐value for treatment effect in meta‐analysis with publication bias
2008
ENVIRONMENTAL NICHE EQUIVALENCY VERSUS CONSERVATISM: QUANTITATIVE APPROACHES TO NICHE EVOLUTION
2008 Standout
Can test statistics in covariance structure analysis be trusted?
1992
A 19-Gene expression signature as a predictor of survival in colorectal cancer
2016
Good practices for quantitative bias analysis
2014
Principles and practice in reporting structural equation analyses.
2002 Standout
Meta-analytic structural equation modeling: A two-stage approach.
2005 Standout
Evaluating diagnostic tests: The area under the ROC curve and the balance of errors
2010
Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares
2015 Standout
Using Self-Report Assessment Methods to Explore Facets of Mindfulness
2006 Standout
When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.
2012 Standout
A working guide to boosted regression trees
2008 Standout
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
2009 Standout
Measurement invariance conventions and reporting: The state of the art and future directions for psychological research
2016 Standout
Interpersonal forgiving in close relationships.
1997 Standout
Stan: A Probabilistic Programming Language
2017 Standout
Panethnic Differences in Blood Pressure in Europe: A Systematic Review and Meta-Analysis
2016 Standout
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
2015 Standout
Cognitive Internet of Things: A New Paradigm Beyond Connection
2014 Standout
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing
2015 Standout
Multiple imputation of discrete and continuous data by fully conditional specification
2007 Standout
A Scaled Difference Chi-Square Test Statistic for Moment Structure Analysis
2001 Standout
Statistical methods for dealing with publication bias in meta‐analysis
2014
Algorithms for Nonnegative Matrix Factorization with the β-Divergence
2011
Dispersal, disturbance and the contrasting biogeographies of New Zealand’s diadromous and non‐diadromous fish species
2008
ada: AnRPackage for Stochastic Boosting
2006
Evaluating the use of exploratory factor analysis in psychological research.
1999 Standout
Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
2011
Structural Equation Modelling: Guidelines for Determining Model Fit
2008 Standout
Dissemination and publication of research findings: an updated review of related biases
2010 Standout
Heterogeneity and Causality
2005
A Re-Evaluation of Random-Effects Meta-Analysis
2008 Standout
Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations
2009 Standout
Design Sensitivity and Efficiency in Observational Studies
2010
Split Samples and Design Sensitivity in Observational Studies
2009
Structural equations modeling: Fit Indices, sample size, and advanced topics
2009 Standout
A Parametric Copula-Based Framework for Hypothesis Testing Using Heterogeneous Data
2011
A Perturbative Approach to Novelty Detection in Autoregressive Models
2011
Academic self-efficacy and first year college student performance and adjustment.
2001 Standout
The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.
1996 Standout
Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees
2006
Instrumental Variables: An Econometrician's Perspective
2014 StandoutNobel
WHAT MATTERS FOR PREDICTING THE OCCURRENCES OF TREES: TECHNIQUES, DATA, OR SPECIES' CHARACTERISTICS?
2007
Structural equation modelling: Adjudging model fit
2006 Standout
Applications of structural equation modeling in marketing and consumer research: A review
1996 Standout
Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification.
1998 Standout
Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures
2003 Standout
Consistent Partial Least Squares Path Modeling1
2015 Standout
Sensitivity Analysis in Observational Research: Introducing the E-Value
2017 Standout
Information theoretic novelty detection
2009
Comparative Politics and the Synthetic Control Method
2014 Standout
Fit Indices Versus Test Statistics
2005
Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants
2010
Factor analysis in the development and refinement of clinical assessment instruments.
1995 Standout
Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization
2011
Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning
2015
Missing-Data Methods for Generalized Linear Models
2005
Object Detection With Deep Learning: A Review
2019 Standout
Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities
2010
Assessment of Mindfulness by Self-Report
2004 Standout
Multiple-Bias Modelling for Analysis of Observational Data
2005
Addressing unmeasured confounding in comparative observational research
2018 StandoutNobel
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
2009 Standout
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
2016 Standout
Nonnegative Matrix Factorization: A Comprehensive Review
2012 Standout
A review of novelty detection
2014 Standout
The Model-Size Effect on Traditional and Modified Tests of Covariance Structures
2007
Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
1999 Standout
Principal component analysis
2014 Standout

Works of Shinto Eguchi being referenced

Confidence Intervals and P‐Values for Meta‐Analysis with Publication Bias
2006
A boosting method for maximizing the partial area under the ROC curve
2010
Robust QTL analysis by minimum β-divergence method
2010
Robust extraction of local structures by the minimum -divergence method
2009
A class of logistic-type discriminant functions
2002
Entropy and Divergence Associated with Power Function and the Statistical Application
2010
Robust Blind Source Separation by Beta Divergence
2002
Boosting Learning Algorithm for Pattern Recognition and Beyond
2011
Second Order Efficiency of Minimum Contrast Estimators in a Curved Exponential Family
1983
Robust parameter estimation with a small bias against heavy contamination
2008
A class of tests for a general covariance structure
1990
An introduction to the predictive technique AdaBoost with a comparison to generalized additive models
2005
Robust Prewhitening for ICA by Minimizing β-Divergence and Its Application to FastICA
2007
Local Model Uncertainty and Incomplete-Data Bias (With Discussion)
2005
Interpreting Kullback–Leibler divergence with the Neyman–Pearson lemma
2006
Information Geometry of U-Boost and Bregman Divergence
2004
Likelihood for Statistically Equivalent Models
2010
Local Sensitivity Approximations for Selectivity Bias
2001
Exploring Latent Structure of Mixture ICA Models by the Minimum β-Divergence Method
2005
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