Introduction | Objectives | Reminder of Database Structure | Step 0: Load Packages | Build tables from source files | Collecting IDs | Data management | Drugs | Principle | Step 1: Load the tables | Step 2: Choose drugs of Interest | Step 3: Identify drug codes | Steps 4 and 5: add_drug() function | Step 6: Check your data management | Step 2 and 3 variant: ATC classes | Step 4 and 5 variant: Suspect, concomitant, interacting | Create multiple drug columns | Drug groups | Adverse drug reactions | Principles | Step 2: Choose events of interest | Step 3: Identify event codes | Steps 4 and 5: add_adr() function | Other variables | Indications | Age | Sex | Using case_when() | Seriousness, death | Disproportionality | Univariate analysis | Disproportionality metrics | Advanced modelling, multivariate analysis | Extract Odds-Ratio with compute_or_mod() | Conclusion

Introduction | Objectives | Prerequisite | Demo data: counts of drugs, adrs, case characteristics | Step 0: Load packages | Step 1: Load datasets and add drug and adr columns | desc_facvar() | Multi-level variables | Binary variables | Logical variables | Exporting raw values | Grouping several levels of a variable | Explicit categorical variables | Other arguments of desc_facvar() | Drug data: drug screening | Adr data: adr screening and evolution of adverse events | Adr screening | Outcome | Step 1: Data management of adr with add_drug and add_adr | Step 2: desc_outcome() function | Link data: time to onset, dechallenge, rechallenge | Step 1: Load the datasets | Step 2: Add drug and adr columns | Learn the content of link | Identify drugs and adverse events | Time to onset | Dechallenge | Rechallenge

Main (data management and disproportionality) script template | Paths | Demo | Link | Basic models | Basic descriptive

Purpose | Overview | Deploy tables | Folder and files | Table builders (tb_* functions) | Outputs | Loading tables into R | Working on a computer with low specifications | Subsetting tables | Handling interruptions and resuming table creation

Dictionary script template

Motivation | The whole game | Load tables | Identify drug and reaction of interest | Select the drug and reaction | Collect IDs of drug and reaction | Use vigi_routine() | Add your own case time to onset | Customize the graph | Exporting your results | Advanced options: suspect_only and d_code_2 | Example: Dual drug analysis

Introduction | Additive interactions | Multivariate analysis | Subgroup comparisons | Statistical interactions | Logistic regression model | Bayesian Information Component, compute_interaction()