Triangulation
Cross-source consensus on Triangulation from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Comparisons
Evidence quality
Highlighted claims
- MR-PREG uses triangulation by integrating evidence from methods, data sources, and study designs with distinct sources of bias. — Cohort profile: the Mendelian randomisation in pregnancy (MR-PREG) collaboration – improving evidence for prevention and treatment of adverse pregnancy and perinatal outcomes
- Consistent findings across triangulated approaches strengthen causal interpretation because unrelated biases are unlikely to produce identical result patterns. — Cohort profile: the Mendelian randomisation in pregnancy (MR-PREG) collaboration – improving evidence for prevention and treatment of adverse pregnancy and perinatal outcomes
- The collaboration uses genetic and non-genetic methods including MR, colocalisation, multivariable regression, paternal negative controls, and within-family analyses. — Cohort profile: the Mendelian randomisation in pregnancy (MR-PREG) collaboration – improving evidence for prevention and treatment of adverse pregnancy and perinatal outcomes
- When triangulated findings disagree, prespecified expectations about bias can guide sensitivity analyses and complementary methods. — Cohort profile: the Mendelian randomisation in pregnancy (MR-PREG) collaboration – improving evidence for prevention and treatment of adverse pregnancy and perinatal outcomes