ipi_data: IPI data

In metaconfoundr: Visualize 'Confounder' Control in Meta-Analyses

IPI data

Description

These data represent 14 analyses (retrospective cohorts and sibling-matched designs) to evaluate the association between short interpregnancy interval (<6 months versus 18-23 months) and risk of preterm birth (<37 weeks gestation) and the adequacy of confounder control (Petersen et al.). Adequacy of confounder control was determined overall for each study as well as by variable and construct (groupings of conceptually related variables).These studies are a subset of studies originally identified in a systematic review by Ahrens et al. to summarize associations between short interpregnancy interval and a variety of perinatal outcomes in high-resource settings.

Usage

ipi

ipi_wide

ipi_metaanalysis

Format

An object of class tbl_df (inherits from tbl, data.frame) with 407 rows and 5 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 37 rows and 14 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 11 rows and 9 columns.

Source

Ahrens et al. (2019)

References

Ahrens KA, Nelson H, Stidd RL, Moskosky S, Hutcheon JA. Short interpregnancy intervals and adverse perinatal outcomes in high-resource settings: An updated systematic review. Paediatr Perinat Epidemiol. 2019;33(1):O25-O47.

Petersen JM, Barrett M, Ahrens K, Murray EJ, Hogue C, Mumford S, Bryant Mantha A, Fox MP, Gadupudi S, Trinquart L. Confounder Matrix: A Tool to Assess Confounding Bias in Systematic Reviews of Observational Studies. 2020

metaconfoundr documentation built on Jan. 18, 2023, 1:10 a.m.