All Stories

  1. Consistency of Linguistic and Cognitive Processing Measures to Discriminate Children with and without Developmental Language Disorder (DLD): Comparing Likelihood Ratios (LHs) and Elastic Net Regression Computational Models
  2. Detection of Cognitive Diagnostic Model Misspecification using New Lancaster-Chesher Information Matrix Tests
  3. Assessment of Misspecification in CDMs Using a Generalized Information Matrix Test
  4. MAP Estimation Using a Possibly Misspecified Parameter Redundant Model
  5. Regularized Robust Confidence Interval Estimation in Cognitive Diagnostic Models
  6. Simulation Studies of Item Bias Estimation Accuracy
  7. Making causal inferences about treatment effect sizes from observational datasets
  8. Consequences of Model Misspecification for Maximum Likelihood Estimation with Missing Data
  9. Statistical modeling methods: challenges and strategies
  10. Adaptive Learning Algorithm Convergence in Passive and Reactive Environments
  11. Generalized Information Matrix Tests for Detecting Model Misspecification
  12. Response to letter regarding “A systematic approach to subgroup analyses in a smoking cessation trial”
  13. A systematic approach to subgroup analyses in a smoking cessation trial
  14. Statistical Pattern Recognition
  15. Modeling human coding of free response data
  16. Comparing clinical predictors of deep venous thrombosis versus pulmonary embolus after severe injury
  17. New Directions in Information Matrix Testing: Eigenspectrum Tests
  18. Effective Software Fault Localization Using an RBF Neural Network
  19. Early Blood Product and Crystalloid Volume Resuscitation: Risk Association With Multiple Organ Dysfunction After Severe Blunt Traumatic Injury
  20. Measuring the Intensity of Resident Supervision in the Department of Veterans Affairs: The Resident Supervision Index
  21. Studying the Effects of ACGME Duty Hours Limits on Resident Satisfaction: Results From VA Learnersʼ Perceptions Survey
  22. Measuring Progressive Independence With the Resident Supervision Index: Empirical Approach
  23. Measuring Progressive Independence With the Resident Supervision Index: Theoretical Approach
  24. Measuring Use and Cost of Care for Patients With Mood Disorders
  25. Using an RBF Neural Network to Locate Program Bugs
  26. Assessing the preventive effects of cognitive therapy following relief of depression: A methodological innovation
  27. A Data Accounting System for Clinical Investigators
  28. Higher Level Language Processes in the Brain
  29. Blind adaptive CDMA processing for smart antennas using the block shanno constant modulus algorithm
  30. Discrepancy Risk Model Selection Test theory for comparing possibly misspecified or nonnested models
  31. Some cautionary remarks on the “localist model” concept
  32. Multiuser interference suppression using block Shanno constant modulus algorithm
  33. Statistical Tests for Comparing Possibly Misspecified and Nonnested Models
  34. Use of a neural network to predict stone growth after shock wave lithotripsy
  35. Causal network analysis validation using synthetic recall protocols
  36. Model-based learning problem taxonomies
  37. Predictors of General Quality of Life in Patients With Benign Prostate Hyperplasia or Prostate Cancer
  38. Predictors of General Quality of Life in Patients With Benign Prostate Hyperplasia or Prostate Cancer
  39. Making Correct Statistical Inferences Using a Wrong Probability Model
  40. Strong and weak formal specifications
  41. A parallel distributed processing model of story comprehension and recall
  42. Stability and Optimization Analyses of the Generalized Brain-State-in-a-Box Neural Network Model
  43. Are connectionist models just statistical pattern classifiers?
  44. A unified framework for connectionist systems
  45. Statistical rationality
  46. A developmental neural model of visual word perception
  47. The “Brain-State-in-a-Box” neural model is a gradient descent algorithm
  48. Concepts In Distributed Systems