Weighted nearest neighbours-based control group selection method for observational studies.
Although in observational studies, propensity score matching is the most widely used balancing method, it has received much criticism. The main drawback of this method is that the individuals of the case and control groups are paired in the compressed one-dimensional space of propensity scores. In t...
Main Authors: | Szabolcs Szekér, Ágnes Vathy-Fogarassy |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0236531 |
Similar Items
-
Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection
by: Szabolcs Szekér, et al.
Published: (2021-12-01) -
Nearest neighbour group-based classification
by: Samsudin, Noor A., et al.
Published: (2010) -
Evaluation of the Complexity, Controllability and Observability of Heat Exchanger Networks Based on Structural Analysis of Network Representations
by: Daniel Leitold, et al.
Published: (2019-02-01) -
Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox [version 2; peer review: 2 approved]
by: Dániel Leitold, et al.
Published: (2019-09-01) -
An Occupancy Mapping Method Based on K-Nearest Neighbours
by: Yu Miao, et al.
Published: (2021-12-01)