Department of Statistics & Data Science, UCLA
Parent: UCLA
eScholarship stats: Breakdown by Item for July through October, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 795 | 395 | 400 | 49.7% |
| 6gv9n38c | Causal Diagrams for Empirical Research | 645 | 312 | 333 | 48.4% |
| 0v46r5w8 | The Causal Mediation Formula – A practitioner guide to the assessment of causal pathways | 640 | 63 | 577 | 9.8% |
| 4q74x3fr | The Foundations of Causal Inference | 603 | 51 | 552 | 8.5% |
| 5f3177k0 | SOCRE: Statistics Online Computational Resource for Education | 567 | 23 | 544 | 4.1% |
| 2mk8r49v | Comparative Fit Indices in Structural Models | 533 | 400 | 133 | 75.0% |
| 0pg6471b | Making sense of sensitivity: extending omitted variable bias | 525 | 275 | 250 | 52.4% |
| 7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 518 | 112 | 406 | 21.6% |
| 0mg8m7g6 | Data Moves | 509 | 127 | 382 | 25.0% |
| 80d1k93n | Decoding heterogeneous single-cell perturbation responses | 506 | 309 | 197 | 61.1% |
| 6vh9k0cf | Probabilistic Evaluation of Counterfactual Queries | 453 | 189 | 264 | 41.7% |
| 45x689gq | Identifiability of Path-Specific Effects | 416 | 109 | 307 | 26.2% |
| 1kc66353 | Complete Identification Methods for the Causal Hierarchy | 402 | 59 | 343 | 14.7% |
| 6gr648np | Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data | 401 | 108 | 293 | 26.9% |
| 65z429wc | Assessment and Propagation of Model Uncertainty | 395 | 133 | 262 | 33.7% |
| 45h3t3t2 | Bias in Factor Score Regression and a Simple Solution | 393 | 27 | 366 | 6.9% |
| 6cn677bx | Comparative Fit Indices in Structural Models | 386 | 85 | 301 | 22.0% |
| 83p9h12v | Multidimensional Scaling | 364 | 26 | 338 | 7.1% |
| 36w8n7pg | Causal inference in statistics: An overview | 341 | 127 | 214 | 37.2% |
| 3sr461nd | Fixed and Random Effects in Panel Data Using Structural Equations Models | 337 | 40 | 297 | 11.9% |
| 1pw2x4j7 | Legalized Abortion and the Homicide of Young Children: An Empirical Investigation | 330 | 35 | 295 | 10.6% |
| 7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 330 | 48 | 282 | 14.5% |
| 490131xj | The Causal Foundations of Structural Equation Modeling | 328 | 247 | 81 | 75.3% |
| 583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 327 | 93 | 234 | 28.4% |
| 3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 323 | 208 | 115 | 64.4% |
| 90g3t07c | Structural variants in genes associated with human Williams-Beuren syndrome underlie stereotypical hypersociability in domestic dogs | 322 | 79 | 243 | 24.5% |
| 8940b4k8 | Approximating the Distribution of Pareto Sums | 319 | 84 | 235 | 26.3% |
| 9598x714 | Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models | 308 | 43 | 265 | 14.0% |
| 6db1b6df | Cerebral amyloid-beta plaques link host genotypes to neurocognitive impairment among HIV-infected adults | 307 | 275 | 32 | 89.6% |
| 3tv1b3bg | Transportability across studies: A formal approach | 297 | 74 | 223 | 24.9% |
| 17r754xz | A General identification condition for causal effects | 296 | 48 | 248 | 16.2% |
| 87t603ns | On Statistical Criteria: Theory, History, and Applications | 294 | 46 | 248 | 15.6% |
| 84j7c2w5 | Regression with Missing X's: A Review | 284 | 136 | 148 | 47.9% |
| 8n57f107 | Image Parsing: Unifying Segmentation, Detection, and Recognition | 282 | 47 | 235 | 16.7% |
| 2m50f2fb | Dynamic Textures | 276 | 48 | 228 | 17.4% |
| 9jg8x22k | The mathematics of causal inference | 275 | 212 | 63 | 77.1% |
| 5wk4j60p | An Introduction to Causal Inference | 274 | 56 | 218 | 20.4% |
| 6nv2744w | On the Consistency Rule in Causal Inference: An Axiom, Definition, Assumption, or a Theorem? | 271 | 162 | 109 | 59.8% |
| 9q6553kr | Object Perception as Bayesian Inference | 270 | 219 | 51 | 81.1% |
| 2hw5r3tm | Why There Is No Statistical Test for Confounding, Why Many Think There Is, and Why They Are Almost Right | 265 | 51 | 214 | 19.2% |
| 1g84199d | Probabilistic Models of Cognition: Conceptual Foundations | 264 | 72 | 192 | 27.3% |
| 3s62r0d6 | Simpson's Paradox: An Anatomy | 260 | 138 | 122 | 53.1% |
| 53n4f34m | Bayesian networks | 260 | 31 | 229 | 11.9% |
| 9z64v481 | Multidimensional Scaling Using Majorization: SMACOF in R | 259 | 39 | 220 | 15.1% |
| 3xn518nr | Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA | 258 | 156 | 102 | 60.5% |
| 3f22z738 | On Pearson-Verification and the Chi-square Test | 256 | 27 | 229 | 10.5% |
| 80s9k72v | An accurate and robust imputation method scImpute for single-cell RNA-seq data | 256 | 42 | 214 | 16.4% |
| 40p8s1nw | Latent Variable Modeling in Heterogeneous Populations | 254 | 207 | 47 | 81.5% |
| 4sk26297 | Show Me the Missing Data | 253 | 147 | 106 | 58.1% |
| 9030v001 | Multilevel varying coefficient spatiotemporal model | 253 | 199 | 54 | 78.7% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.