All Stories

  1. Making causal inferences about treatment effect sizes from observational datasets
  2. Consequences of Model Misspecification for Maximum Likelihood Estimation with Missing Data
  3. Statistical modeling methods: challenges and strategies
  4. Adaptive Learning Algorithm Convergence in Passive and Reactive Environments
  5. Generalized Information Matrix Tests for Detecting Model Misspecification
  6. Response to letter regarding “A systematic approach to subgroup analyses in a smoking cessation trial”
  7. A systematic approach to subgroup analyses in a smoking cessation trial
  8. Statistical Pattern Recognition
  9. Modeling human coding of free response data
  10. Comparing clinical predictors of deep venous thrombosis versus pulmonary embolus after severe injury
  11. New Directions in Information Matrix Testing: Eigenspectrum Tests
  12. Effective Software Fault Localization Using an RBF Neural Network
  13. Early Blood Product and Crystalloid Volume Resuscitation: Risk Association With Multiple Organ Dysfunction After Severe Blunt Traumatic Injury
  14. Measuring the Intensity of Resident Supervision in the Department of Veterans Affairs: The Resident Supervision Index
  15. Studying the Effects of ACGME Duty Hours Limits on Resident Satisfaction: Results From VA Learnersʼ Perceptions Survey
  16. Measuring Progressive Independence With the Resident Supervision Index: Empirical Approach
  17. Measuring Progressive Independence With the Resident Supervision Index: Theoretical Approach
  18. Measuring Use and Cost of Care for Patients With Mood Disorders
  19. Using an RBF Neural Network to Locate Program Bugs
  20. Assessing the preventive effects of cognitive therapy following relief of depression: A methodological innovation
  21. A Data Accounting System for Clinical Investigators
  22. Higher Level Language Processes in the Brain
  23. Blind adaptive CDMA processing for smart antennas using the block shanno constant modulus algorithm
  24. Discrepancy Risk Model Selection Test theory for comparing possibly misspecified or nonnested models
  25. Some cautionary remarks on the “localist model” concept
  26. Multiuser interference suppression using block Shanno constant modulus algorithm
  27. Statistical Tests for Comparing Possibly Misspecified and Nonnested Models
  28. Use of a neural network to predict stone growth after shock wave lithotripsy
  29. Causal network analysis validation using synthetic recall protocols
  30. Model-based learning problem taxonomies
  31. Predictors of General Quality of Life in Patients With Benign Prostate Hyperplasia or Prostate Cancer
  32. Predictors of General Quality of Life in Patients With Benign Prostate Hyperplasia or Prostate Cancer
  33. Making Correct Statistical Inferences Using a Wrong Probability Model
  34. Strong and weak formal specifications
  35. A parallel distributed processing model of story comprehension and recall
  36. Stability and Optimization Analyses of the Generalized Brain-State-in-a-Box Neural Network Model
  37. Are connectionist models just statistical pattern classifiers?
  38. A unified framework for connectionist systems
  39. Statistical rationality
  40. A developmental neural model of visual word perception
  41. The “Brain-State-in-a-Box” neural model is a gradient descent algorithm
  42. Concepts In Distributed Systems