Longitudinal Methods Versus Multiple Imputation to Infer Missing Maternal Data in Registry‐Based Pregnancy Studies

The longitudinal method outperformed MI in inferring missing data on maternal characteristics in a medical birth registry.

Authors

Institutions

Publication Details

Journal
Paediatric and Perinatal Epidemiology
Published
2025-06-27
DOI
https://doi.org/10.1111/ppe.70011
Citations
3
Primary Topic
Assisted Reproductive Technology and Twin Pregnancy
Type
article
Field-Weighted Citation Impact
10.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal Methods Versus Multiple Imputation to Infer Missing Maternal Data in Registry‐Based Pregnancy Studies

Marleen M. H. J. van Gelder, Takamasa Sakai, Hedvig Nordeng
3 citations
Paediatric and Perinatal Epidemiology
Assisted Reproductive Technology and Twin Pregnancy
10.48
article

Longitudinal Methods Versus Multiple Imputation to Infer Missing Maternal Data in Registry‐Based Pregnancy Studies

Marleen M. H. J. van Gelder, Takamasa Sakai, Hedvig Nordeng
article en
3 citations

Abstract

The longitudinal method outperformed MI in inferring missing data on maternal characteristics in a medical birth registry.

Paediatric and Perinatal EpidemiologyVol. 40(2)
Norwegian Institute of Public Health (NO), University of Oslo (NO), Meijo University (JP)
Great Britain Sasakawa Foundation, Norges Forskningsråd
Good health and well-being
Openalex Percentile: Top 2%
Assisted Reproductive Technology and Twin Pregnancy
10.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.