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Validate summary-level study data

Source: R/validate.R
validate_summary_data.Rd

Checks that data meets the structural requirements for use in meta_did(). Called automatically inside meta_did(); also useful for diagnosing problems before fitting.

Usage

validate_summary_data(data)

Arguments

data

A data frame with one row per study. Must contain study_id and design columns. Valid designs:

  • "did": DiD studies with separate pre/post summaries for both groups.

  • "did_change": DiD studies reporting only change means and SDs.

  • "rct": RCT studies with post-treatment summaries only.

  • "pp": Pre-post studies with no control group.

The rho column (pre-post correlation) is optional for "did" and "pp" designs; missing values trigger hierarchical imputation when hierarchical_rho = TRUE.

Value

data invisibly if valid; otherwise stops with an informative error.