A novel framework for classification of selection processes in epidemiological research
Abstract Background Selection and selection bias are terms that lack consistent definitions and have varying meaning and usage across disciplines. There is also confusion in current definitions between underlying mechanisms that lead to selection and their consequences. Consequences of selection on...
Main Authors: | Jonas Björk, Anton Nilsson, Carl Bonander, Ulf Strömberg |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-06-01
|
Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12874-020-01015-w |
Similar Items
-
Can non-participants in a follow-up be used to draw conclusions about incidences and prevalences in the full population invited at baseline? An investigation based on the Swedish MDC cohort
by: Anton Nilsson, et al.
Published: (2023-10-01) -
A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E)
by: Julian P.T. Higgins, et al.
Published: (2024-04-01) -
Publication bias in animal research presented at the 2008 Society of Critical Care Medicine Conference
by: Una Conradi, et al.
Published: (2017-07-01) -
Analysis of indications for selectively missing results in comparative registry-based studies in medicine: a meta-research study
by: Paula Starke, et al.
Published: (2025-03-01) -
Evaluation and Assessment of the ABATE Framework to Enhance Implicit Bias Training for Virtual Interviews in Medical Schools
by: Veda Nagubandi, et al.
Published: (2024-06-01)