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Literature DB >> 28355503

From Trial to Target Populations - Calibrating Real-World Data.

Mehdi Najafzadeh¹, Sebastian Schneeweiss¹.

Abstract

Mesh：

Year: 2017 PMID： 28355503 DOI： 10.1056/NEJMp1614720

Source DB: PubMed Journal: N Engl J Med ISSN： 0028-4793 Impact factor: 91.245

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Cited

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13 in total

Review 1. Future cancer research priorities in the USA: a Lancet Oncology Commission.

Authors: Elizabeth M Jaffee; Chi Van Dang; David B Agus; Brian M Alexander; Kenneth C Anderson; Alan Ashworth; Anna D Barker; Roshan Bastani; Sangeeta Bhatia; Jeffrey A Bluestone; Otis Brawley; Atul J Butte; Daniel G Coit; Nancy E Davidson; Mark Davis; Ronald A DePinho; Robert B Diasio; Giulio Draetta; A Lindsay Frazier; Andrew Futreal; Sam S Gambhir; Patricia A Ganz; Levi Garraway; Stanton Gerson; Sumit Gupta; James Heath; Ruth I Hoffman; Cliff Hudis; Chanita Hughes-Halbert; Ramy Ibrahim; Hossein Jadvar; Brian Kavanagh; Rick Kittles; Quynh-Thu Le; Scott M Lippman; David Mankoff; Elaine R Mardis; Deborah K Mayer; Kelly McMasters; Neal J Meropol; Beverly Mitchell; Peter Naredi; Dean Ornish; Timothy M Pawlik; Jeffrey Peppercorn; Martin G Pomper; Derek Raghavan; Christine Ritchie; Sally W Schwarz; Richard Sullivan; Richard Wahl; Jedd D Wolchok; Sandra L Wong; Alfred Yung
Journal: Lancet Oncol Date: 2017-10-31 Impact factor: 41.316

9. 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.

Authors: Trang Quynh Nguyen; Benjamin Ackerman; Ian Schmid; Stephen R Cole; Elizabeth A Stuart
Journal: PLoS One Date: 2018-12-11 Impact factor: 3.240

10. The use of prognostic scores for causal inference with general treatment regimes.

Authors: Tri-Long Nguyen; Thomas P A Debray
Journal: Stat Med Date: 2019-01-16 Impact factor: 2.373

From Trial to Target Populations - Calibrating Real-World Data.

Review 1. Future cancer research priorities in the USA: a Lancet Oncology Commission.

2. Generalizability of randomized trial results to target populations: Design and analysis possibilities.

3. D-Dimer Enhances Risk-Targeted Thromboprophylaxis in Ambulatory Patients with Cancer.

4. Diagnostic Assessment of Assumptions for External Validity: An Example Using Data in Metastatic Colorectal Cancer.

5. Generalizing Intensive Blood Pressure Treatment to Adults With Diabetes Mellitus.

6. Doctor reported outcomes: Real-world data from a tertiary eye cancer center.

7. SGLT2 inhibitors as add on therapy in type 2 diabetes: a real world study.

8. Network analysis of surgical innovation: Measuring value and the virality of diffusion in robotic surgery.

9. 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.

10. The use of prognostic scores for causal inference with general treatment regimes.