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Function to return diagnostic tables from a SEQuential object

Source: R/class_methods.R
diagnostics.Rd

Function to return diagnostic tables from a SEQuential object

Usage

diagnostics(object)

Arguments

object

SEQoutput object

Value

A named list of diagnostic tables, each broken down by baseline treatment arm. The "unique" and "non-unique" variants count different things:

  • outcome.unique / outcome.nonunique: distinct subjects who had the outcome vs. the total number of outcome events. These coincide for a one-time (terminal) outcome, since each subject contributes at most one event row. Both are NA for a continuous end-of-follow-up outcome, which has no events to count.

  • eof.unique / eof.nonunique: present only when end_of_fup = TRUE, accounting for every trial-period at the end-of-follow-up time across four mutually exclusive categories - measured At k, measured In window, Excluded (outside window) and Excluded (no measurement) - against the Eligible total. The non-unique (trial-period) counts partition Eligible, and At k plus In window equals the trial-periods contributing to the estimate. The unique (subject) counts need not sum to Eligible, since one subject can fall into different categories for different trials. For a continuous outcome eof.summary additionally reports the N, mean and SD of the raw analysed measurements per arm, standing in for the suppressed outcome count tables.

  • followup.unique / followup.nonunique: distinct subjects contributing follow-up vs. the total number of person-time intervals (expanded rows). The non-unique count is much larger because each subject contributes one row per follow-up period; it is the denominator that, with outcome.nonunique, gives the per-arm event rate.