Stats & Data Science Views frequently publishes layman’s abstracts on the latest research published in Statistics in Medicine. These layman’s abstracts, written by the authors of articles published in the journal, aim to make the latest research in statistics more accessible to a wider audience. Read this collection of abstracts published in 2021.
, , , , . Simulation model of disease incidence driven by diagnostic activity. Statistics in Medicine. 2021; 40: 1172-1188. https://doi.org/10.1002/sim.8833
Layman’s Abstract
Open Access
, , , , . Spatial process decomposition for quantitative imaging biomarkers using multiple images of varying shapes. Statistics in Medicine. 2021; 40: 1243– 1261. https://doi.org/10.1002/sim.8838
Layman’s Abstract
. Modeling the mean time to interval cancer after negative results of periodic cancer screening. Statistics in Medicine. 2021; 40: 1429–1439. https://doi.org/10.1002/sim.8849
Layman’s Abstract
, , , , , . On the properties of the toxicity index and its statistical efficiency. Statistics in Medicine. 2021; 40: 1535–1552. https://doi.org/10.1002/sim.8858
Layman’s Abstract
Open Access
Layman’s Abstract
Layman’s Abstract
Free Access
, , . How vague is vague? How informative is informative? Reference analysis for Bayesian meta-analysis. Statistics in Medicine. 2021; 1–17. https://doi.org/10.1002/sim.9076
Layman’s Abstract
Open Access