All Stories

  1. The Elusiveness of the Win Ratio Parameter in the Presence of Missing Data
  2. The Finkelstein–Schoenfeld Test: A Note on Some Overlooked Issues Concerning Power
  3. Propensity score‐incorporated adaptive design approaches when incorporating real‐world data
  4. A Non-parametric Test Based on Local Pairwise Comparisons of Patients for Single and Composite Endpoints
  5. Principled leveraging of external data in the evaluation of diagnostic devices via the propensity score‐integrated composite likelihood approach
  6. Propensity score‐based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation
  7. Some Thoughts on the Use of Predictive Probability in Clinical Trials
  8. Clinical Studies Leveraging Real-World Data Using Propensity Score-based Methods
  9. Propensity score-integrated approach to survival analysis: leveraging external evidence in single-arm studies
  10. Estimands in observational studies: Some considerations beyond ICH E9 ( R1 )
  11. Propensity score-integrated power prior approach for augmenting the control arm of a randomized controlled trial by incorporating multiple external data sources
  12. Leveraging real‐world evidence for determining performance goals for medical device studies
  13. Augmenting Both Arms of a Randomized Controlled Trial Using External Data: An Application of the Propensity Score-Integrated Approaches
  14. Leverage multiple real-world data sources in single-arm medical device clinical studies
  15. Evaluation of diagnostic tests for low prevalence diseases: a statistical approach for leveraging real-world data to accelerate the study
  16. Mitigating Study Power Loss Caused by Clinical Trial Disruptions Due to the COVID-19 Pandemic: Leveraging External Data via Propensity Score-Integrated Approaches
  17. Novel statistical approaches and applications in leveraging real-world data in regulatory clinical studies
  18. Use of Weighted Performance Goals in Prospective Single-Arm Clinical Studies Designed to Assess the Safety and Effectiveness of Medical Devices
  19. Propensity score-integrated composite likelihood approach for augmenting the control arm of a randomized controlled trial by incorporating real-world data
  20. Subgroups in Design and Analysis of Clinical Trials, General Considerations
  21. Propensity score-integrated composite likelihood approach for incorporating real-world evidence in single-arm clinical studies
  22. Homogeneity assessment for pivotal medical device clinical studies
  23. Propensity score-integrated power prior approach for incorporating real-world evidence in single-arm clinical studies
  24. A Note on Good Practice of Objective Propensity Score Design for Premarket Nonrandomized Medical Device Studies with an Example
  25. Medical Devices
  26. Wilcoxon's signed-rank statistic: what null hypothesis and why it matters
  27. Statistical and Regulatory Issues in Nonrandomized Medical Device Clinical Studies
  28. The covariance structure and likelihood function for multivariate dyadic data
  29. Medical Devices
  30. A widely applicable extension of the random effects two-way layout: Its definition and statistical analysis based on group invariance
  31. The Resolution of Some Paradoxes Related to Reliability and Validity
  32. The fundamental theorem of least squares: its relevance to experimental design and Bayesian inference
  33. Modeling through group invariance: an interesting example with potential applications
  34. Likelihood-based quadratic analyses for diallel cross and other experiments involving data collected on ordered pairs of sampling units
  35. TOWARD A COHERENT VIEW OF RELIABILITY IN TEST THEORY
  36. Bayesian Inference for Nested Designs Based on Jeffreys's Prior
  37. Bayesian Inference for Nested Designs Based on Jeffreys's Prior
  38. A unifying expression for the maximal reliability of a linear composite
  39. Toward a Coherent View of Reliability in Test Theory
  40. Teacher's Corner: Toward a Coherent View of Reliability in Test Theory
  41. Reliability of measurement in psychology: From Spearman-Brown to maximal reliability.
  42. Reliability of measurement in psychology: From Spearman-Brown to maximal reliability.