Addressing exaggeration of effects from single RCTs-Reference-Cited by-同舟云学术

Addressing exaggeration of effects from single RCTs

Published:2021-11-28 Issue:6 Volume:18 Page:16-21
ISSN:1740-9705
Container-title:Significance
language:en
Short-container-title:Significance

Author:

van Zwet Erik¹^ORCID,Schwab Simon²^ORCID,Greenland Sander³^ORCID

Affiliation:

1. Associate professor of medical statistics at the Leiden University Medical Center.

2. Postdoctoral researcher at the Center for Reproducible Science and the Department of Biostatistics at the University of Zurich.

3. Emeritus professor of epidemiology and statistics at University of California, Los Angeles.

Publisher

Wiley

Subject

Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1740-9713.01587

Reference7 articles.

1. Schwab S.(2020)Re-estimating 400 000 treatment effects from intervention studies in the Cochrane Database of Systematic Reviews [Data set]. Open Science Framework.doi.org/10.17605/OSF.IO/XJV9G.

2. Publication bias in meta-analyses from the Cochrane Database of Systematic Reviews;Kicinski M.;Statistics in Medicine,2015

3. vanZwet E. W. Schwab S.andSenn S. J.(2021) The statistical properties of RCTs and a proposal for shrinkage.Statistics in Medicine.doi.org/10.1002/sim.9173

4. The importance of beta, the Type II error and sample size in the design and interpretation of the randomized control trial: Survey of 71 “negative” trials;Freiman J. A.;New England Journal of Medicine,1978

5. Why most discovered true associations are inflated;Ioannidis J. P.;Epidemiology,2008

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forcing a Deterministic Frame on Probabilistic Phenomena: A Communication Blind Spot in Media Coverage of the “Replication Crisis”;Science Communication;2024-04-05

2. Finding the right power balance: Better study design and collaboration can reduce dependence on statistical power;PLOS Biology;2024-01-08

3. A New Look at P Values for Randomized Clinical Trials;NEJM Evidence;2024-01

4. Evaluating a shrinkage estimator for the treatment effect in clinical trials;Statistics in Medicine;2023-12-19

5. Interpreting Randomized Controlled Trials;Cancers;2023-09-22