Immediate Impact
57 standout
Citing Papers
Updated recommendations for the Cochrane rapid review methods guidance for rapid reviews of effectiveness
2024 Standout
Causal machine learning for predicting treatment outcomes
2024 Standout
Works of Ian Schmid being referenced
Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details
2018
Using data sources beyond PubMed has a modest impact on the results of systematic reviews of therapeutic interventions
2015
Author Peers
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Ian Schmid | 66 | 66 | 17 | 87 | 69 | 21 | 374 | |
| Caroline Kristunas | 60 | 75 | 3 | 89 | 58 | 21 | 395 | |
| Cory E. Goldstein | 64 | 134 | 5 | 162 | 130 | 19 | 446 | |
| Sarah Ronaldson | 27 | 109 | 140 | 134 | 29 | 416 | ||
| Simon Turner | 26 | 47 | 1 | 74 | 54 | 21 | 380 | |
| R Thiyagu | 24 | 83 | 2 | 32 | 79 | 17 | 353 | |
| Jim Nuovo | 26 | 116 | 1 | 108 | 62 | 14 | 341 | |
| Anna Kearney | 15 | 134 | 1 | 113 | 77 | 25 | 353 | |
| Neil Wright | 71 | 79 | 42 | 24 | 22 | 344 | ||
| Zelda Tomlin | 16 | 214 | 4 | 217 | 90 | 9 | 448 | |
| Lynne Hancock | 40 | 112 | 6 | 156 | 34 | 19 | 417 |
All Works
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