Dealing with small sample bias in post-crisis samples
Sign Up to like & getrecommendations! Published in 2017 at "Economic Modelling"
DOI: 10.1016/j.econmod.2017.04.004
Abstract: In this paper, we demonstrate that using finite sample correction bootstrapping techniques is advisable in samples that cover less than two complete business cycles, even when high-frequency data seemingly provide a sufficient number of observations… read more here.
Keywords: post crisis; crisis; sample bias; bias ... See more keywords
Finite-Sample Bias of the Linear Excess Relative Risk in Cohort Studies of Computed Tomography-Related Radiation Exposure and Cancer
Sign Up to like & getrecommendations! Published in 2024 at "Radiation Research"
DOI: 10.1667/rade-23-00187.1
Abstract: The linear excess relative risk (ERR) is the most commonly reported measure of association in radiation epidemiological studies, when individual dose estimates are available. While the asymptotic properties of the ERR estimator are well understood,… read more here.
Keywords: cohort; radiation; risk; exposure ... See more keywords
The Effect of Sample Bias and Experimental Artefacts on the Statistical Phylogenetic Analysis of Picornaviruses
Sign Up to like & getrecommendations! Published in 2019 at "Viruses"
DOI: 10.3390/v11111032
Abstract: Statistical phylogenetic methods are a powerful tool for inferring the evolutionary history of viruses through time and space. The selection of mathematical models and analysis parameters has a major impact on the outcome, and has… read more here.
Keywords: effect sample; analysis; effect; sample bias ... See more keywords