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This skill provides comprehensive guidance and implementation patterns for conducting Individual Participant Data (IPD) meta-analyses within the R environment. It covers critical methodologies including one-stage mixed-effects models and two-stage approaches, handling complex data structures like survival and binary outcomes, and integrating IPD with aggregate data. It is particularly useful for clinical researchers and biostatisticians needing to account for treatment-covariate interactions, manage missing multi-study data, or perform network meta-analyses while adhering to PRISMA-IPD standards.
