Developing non-response weights to account for attrition-related bias in a longitudinal pregnancy cohort.
Objective The prospective cohort study design is ideal for examining diseases of public health importance. A main source of potential bias for longitudinal studies is attrition. In this study, we compare the performance of two models developed to predict sources of attrition and develop weights to a...
Main Authors: | Tona Pitt, Kamala Adhikari, Shainur Premji, Sheila McDonald |
---|---|
Format: | Article |
Language: | English |
Published: |
Swansea University
2022-08-01
|
Series: | International Journal of Population Data Science |
Subjects: | |
Online Access: | https://ijpds.org/article/view/1925 |
Similar Items
-
Developing non-response weights to account for attrition-related bias in a longitudinal pregnancy cohort
by: Tona M. Pitt, et al.
Published: (2023-12-01) -
Why do participants drop-out: findings from a prospective pediatric cohort for fever surveillance established at Vellore, southern India
by: Kulandaipalayam Natarajan Sindhu, et al.
Published: (2019-12-01) -
Design of high bulk moduli high entropy alloys using machine learning
by: Kandavalli, Manjunadh, et al.
Published: (2024) -
Cardiorespiratory Fitness Is Associated With Drop Out From Sport in Norwegian Adolescents. A Longitudinal Study
by: Ivar Fossland Moa, et al.
Published: (2020-12-01) -
A New Model for the Predicting the Risk of Preeclampsia in Twin Pregnancy
by: Qing Han, et al.
Published: (2022-04-01)