TRACE: Meta-analysis of learning and memory in PTSD

Step 1: Prepare data

Merge datasets

• Merge data S1, S2, S3 in one file: prepare_merge.rmd

• input: search 1 'TRACE data_collection_search1.xlsx', search 2 'TRACE data_collection_search2.xlsx', search 3 'TRACE_data_collection_search3.xlsx'

• output:TRACEmerged.RDS

Recode data

• recode variables in prepare_recode.rmd and add method codes
• output in TRACErecoded.RDS

Process QA data

• process QA data with prepare_QA.rmd

Calculate effect sizes

• prepare data for analysis in prepare_effect_size_QA.rmd
• output in TRACEprepared.RData

Step 2: Study descriptives

• Overview numbers for screening steps (for flowchart) via Flowchart.rmd
• Characteristics of the included studies via Descriptives.rmd (uses data.explore.rds, created in DataDrivenAnalysis.rmd script)

Step 3: Meta-regression Valence x Phase

• check potential comparisons meta_regression_check_comparisons.rmd | 11/2/23 niet alle code hierin werkt? oude variable niet meer aangepast?

• meta-regression Valence x Phase: meta_regression.rmd. This script uses meta_regression_influentials.r to calculate potential influential case and outliers

Step 4: MetaForest and MetaCART

• meta_forest_meta_cart.rmd
• used data saved in data.explore.rds, this data is also used for descriptives table