Department of Statistics, UCLA
Parent: UCLA
eScholarship stats: History by Item for December, 2024 through March, 2025
Item | Title | Total requests | 2025-03 | 2025-02 | 2025-01 | 2024-12 |
---|---|---|---|---|---|---|
2mk8r49v | Comparative Fit Indices in Structural Models | 451 | 136 | 114 | 86 | 115 |
583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 373 | 115 | 74 | 104 | 80 |
3sr461nd | Fixed and Random Effects in Panel Data Using Structural Equations Models | 337 | 79 | 84 | 83 | 91 |
87t603ns | On Statistical Criteria: Theory, History, and Applications | 323 | 102 | 69 | 91 | 61 |
7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 318 | 88 | 84 | 60 | 86 |
6gv9n38c | Causal Diagrams for Empirical Research | 280 | 78 | 82 | 65 | 55 |
53n4f34m | Bayesian networks | 277 | 68 | 90 | 67 | 52 |
0pg6471b | Making sense of sensitivity: extending omitted variable bias | 264 | 55 | 70 | 68 | 71 |
6cn677bx | Comparative Fit Indices in Structural Models | 234 | 67 | 55 | 56 | 56 |
27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 233 | 62 | 58 | 44 | 69 |
490131xj | The Causal Foundations of Structural Equation Modeling | 172 | 67 | 27 | 51 | 27 |
9q6553kr | Object Perception as Bayesian Inference | 172 | 44 | 48 | 43 | 37 |
24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 171 | 39 | 35 | 55 | 42 |
3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 164 | 50 | 47 | 33 | 34 |
6gr648np | Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data | 155 | 43 | 32 | 35 | 45 |
8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 153 | 37 | 36 | 31 | 49 |
2bz9c0zr | Comparing Robust Properties of A, D, E and G-Optimal Designs | 124 | 15 | 5 | 86 | 18 |
8940b4k8 | Approximating the Distribution of Pareto Sums | 115 | 32 | 33 | 27 | 23 |
84j7c2w5 | Regression with Missing X's: A Review | 107 | 31 | 34 | 28 | 14 |
45x689gq | Identifiability of Path-Specific Effects | 106 | 23 | 26 | 22 | 35 |
9050x4r4 | Reproducible Research. The Bottom Line | 104 | 17 | 41 | 33 | 13 |
3tv1b3bg | Transportability across studies: A formal approach | 98 | 20 | 29 | 32 | 17 |
49m7794d | A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model | 94 | 17 | 22 | 20 | 35 |
0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 91 | 32 | 25 | 20 | 14 |
99b2s80w | Heider vs Simmel: Emergent Features in Dynamic Structures | 89 | 29 | 22 | 18 | 20 |
3s62r0d6 | Simpson's Paradox: An Anatomy | 87 | 23 | 11 | 23 | 30 |
4bp1t13z | Designing Studies for Dose Response | 86 | 19 | 17 | 22 | 28 |
05n729v1 | Homogeneity Analysis in R: The Package homals | 85 | 25 | 18 | 27 | 15 |
6st1j18s | Growing impact of wildfire on western US water supply | 81 | 23 | 18 | 23 | 17 |
2nt2p3dt | Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species. | 80 | 20 | 24 | 16 | 20 |
7tn3p6jx | Causal Diagrams | 80 | 25 | 25 | 21 | 9 |
4cg0k6g0 | Determination of Sample Size for Multilevel Model Design | 79 | 36 | 13 | 22 | 8 |
5h9374jn | Tool for tracking all-cause mortality and estimating excess mortality to support the COVID-19 pandemic response: All-cause mortality calculator for COVID-19 response | 79 | 14 | 24 | 19 | 22 |
7wg0k7xq | Applications of Convex Analysis to Multidimensional Scaling | 79 | 20 | 17 | 22 | 20 |
8zt041cg | Cerebral amyloid-beta plaques link host genotypes to neurocognitive impairment among HIV-infected adults | 79 | 16 | 21 | 32 | 10 |
5pk7v8c5 | What are Textons? | 77 | 12 | 25 | 24 | 16 |
65z429wc | Assessment and Propagation of Model Uncertainty | 77 | 12 | 26 | 23 | 16 |
4nm8w17x | A Bootstrap Lasso + Partial Ridge Method to Construct Confidence Intervals for Parameters in High-dimensional Sparse Linear Models | 76 | 19 | 20 | 13 | 24 |
80s9k72v | An accurate and robust imputation method scImpute for single-cell RNA-seq data | 76 | 15 | 22 | 22 | 17 |
9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 75 | 18 | 13 | 22 | 22 |
0t96w00k | A new record minimum for Antarctic sea ice | 74 | 13 | 15 | 30 | 16 |
4bq0g49v | Insights from Earth system model initial-condition large ensembles and future prospects | 73 | 19 | 15 | 18 | 21 |
52b8201d | Decadal predictability of late winter precipitation in western Europe through an ocean–jet stream connection | 73 | 19 | 25 | 14 | 15 |
52t9g8rz | Global progress and backsliding on gasoline taxes and subsidies | 73 | 20 | 15 | 22 | 16 |
5qk1s0dv | Object Perception as Bayesian Inference | 72 | 19 | 18 | 20 | 15 |
8t51b39q | Emergent constraints on the large scale atmospheric circulation and regional hydroclimate: do they still work in CMIP6 and how much can they actually constrain the future? | 72 | 24 | 16 | 14 | 18 |
0zj8s368 | Statistical Assumptions as Empirical Commitments | 71 | 16 | 26 | 15 | 14 |
4q74x3fr | The Foundations of Causal Inference | 71 | 21 | 21 | 15 | 14 |
12m9z8c2 | The Racialization and Feminization of Poverty? | 70 | 18 | 16 | 19 | 17 |
6cs342k2 | Myth, Confusion, and Science in Causal Analysis | 70 | 14 | 12 | 30 | 14 |
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