Behind SEQopts() | The options | General Options | Weighting Options | Plot Options (km.curves = TRUE) | Special Cases | Internal Options

Per-protocol, censoring, weights in pre-expanded data and no truncation, no excused conditions (i.e. static interventions) | Per-protocol, censoring, weights in post-expanded data and no truncation, no excused conditions (i.e. static interventions) | Per-protocol, censoring, weights in pre-expanded data and no truncation, excused conditions for initiators and non-initiators (i.e. dynamic interventions) | Per-protocol, censoring, weights in post-expanded data and no truncation, excused conditions for initiators and non-initiators (i.e. dynamic interventions) | Per-protocol, censoring, weights in post-expanded data and no truncation, excused conditions for initiators and non-initiators (i.e. dynamic interventions) and a competing event | Per-protocol, censoring, weights in post-expanded data and no truncation, excused conditions for initiators and non-initiators (i.e. dynamic interventions) and hazard ratio

ITT With 5 bootstrap samples | ITT with 5 bootstrap samples and losses-to-followup | ITT with 5 bootstrap samples and competing events | ITT hazard ratio with 5 bootstrap samples and competing events | ITT with 5 bootstrap samples and competing events in subgroups defined by sex

Setting up your Analysis | Step 1 - Defining your options | Step 2 - Running the Primary Function | Step 3 - Recovering your results

Dose-response With 5 bootstrap samples | Dose-response with 5 bootstrap samples and losses-to-followup | Dose-response with 5 bootstrap samples and competing events | Dose-response hazard ratio with 5 bootstrap samples and competing events | Dose-response with 5 bootstrap samples and competing events in subgroups defined by sex