Confounding and Missing Data

Other

Highlighted claims

• The protocol will not automatically use multiple imputation for missing data. — Which factors mediate the effect of childhood socioeconomic disadvantage on mental health in young adulthood? A protocol for a target trial emulation using linked administrative data from New South Wales, Australia
• DAGs will be used to identify confounders for exposure-outcome, exposure-mediator, and mediator-outcome relationships. — Which factors mediate the effect of childhood socioeconomic disadvantage on mental health in young adulthood? A protocol for a target trial emulation using linked administrative data from New South Wales, Australia
• The confounding strategy focuses on baseline confounders that precede or coincide with birth and avoids adjusting for mediators. — Which factors mediate the effect of childhood socioeconomic disadvantage on mental health in young adulthood? A protocol for a target trial emulation using linked administrative data from New South Wales, Australia
• Missingness-directed DAGs will characterize missingness mechanisms and assess whether estimands can be recovered from observed data. — Which factors mediate the effect of childhood socioeconomic disadvantage on mental health in young adulthood? A protocol for a target trial emulation using linked administrative data from New South Wales, Australia
• The protocol will assess unmeasured confounding using E-values, quantitative bias analysis, negative control outcomes, and sensitivity analyses. — Which factors mediate the effect of childhood socioeconomic disadvantage on mental health in young adulthood? A protocol for a target trial emulation using linked administrative data from New South Wales, Australia