Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment

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Items 401–500 of 1,002

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21. Partially Identified Treatment Effects for Generalizability
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23. The role of mastery learning in an intelligent tutoring system: Principal stratification on a latent variable
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31. Causal inference for multiple treatments using fractional factorial designs
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32. Using latent outcome trajectory classes in causal inference
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33. Nonparametric binary instrumental variable analysis of competing risks data
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35. A Weighting Method for Assessing Between-Site Heterogeneity in Causal Mediation Mechanism
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36. Matching algorithms for causal inference with multiple treatments
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37. On the Role of Counterfactuals in Inferring Causal Effects
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40. Synthetic Controls with Staggered Adoption
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41. Randomization Tests for Peer Effects in Group Formation Experiments
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42. Estimation of causal effects of binary treatments in unconfounded studies with one continuous covariate
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43. Causation as a Generative Process. The Elaboration of an Idea for the Social Sciences and an Application to an Analysis of an Interdependent Dynamic Social System
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44. Information Spillovers: Another Look at Experimental Estimates of Legislator Responsiveness
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47. A method for assessing the impacts of an international agreement on regional progress towards Sustainable Development Goals
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48. Do body-worn cameras improve community perceptions of the police? Results from a controlled experimental evaluation
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49. Bias Mechanisms in Intention-to-Treat Analysis With Data Subject to Treatment Noncompliance and Missing Outcomes
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50. Granger-Sims causality
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51. Assessing Treatment Effect Heterogeneity in Clinical Trials with Blocked Binary Outcomes
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52. Causal Analysis in Population Studies
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54. How the EU Cohesion Policy targeted at R&D and innovation impacts the productivity, employment and exports of SMEs in Estonia
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55. Invariant Graph Learning for Causal Effect Estimation
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56. Replicated blood-based biomarkers for myalgic encephalomyelitis not explicable by inactivity
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57. The Use of Field Experiments to Study Mechanisms of Discrimination
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58. The Landscape of Causal Inference: Perspective From Citation Network Analysis
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59. Identifiability and estimation of causal mediation effects with missing data
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60. Bayesian Inference for Sequential Treatments Under Latent Sequential Ignorability
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61. Causally Interpretable Meta-analysis: Application in Adolescent HIV Prevention
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62. Rerandomization in Stratified Randomized Experiments
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63. Neural Networks for Propensity Score Estimation: Simulation Results and Recommendations
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65. Statistical Inference for Causal Effects
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68. Bayesian inference for causal mechanisms with application to a randomized study for postoperative pain control
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71. A Causal Inference Approach to Network Meta-Analysis
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72. A Semi-Parametric Approach to Model-Based Sensitivity Analysis in Observational Studies
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73. Evolutionary chemical binding similarity approach integrated with 3D-QSAR method for effective virtual screening
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74. From Controlled to Undisciplined Data: Estimating Causal Effects in the Era of Data Science Using a Potential Outcome Framework
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82. Composite indicator of German regional policy and its use for optimizing subsidies to regional labour markets
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83. Central limit theorems via Stein's method for randomized experiments under interference
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