Extract the end-of-follow-up outcome estimates

Available when SEQuential() was run with end_of_fup = TRUE. The estimate in each arm is the weighted average of the outcome measured at end_of_fup.time, weighted by the period-trial-specific weight at the time the measurement was taken.

Usage

end_of_fup(object)

Arguments

object

SEQoutput object

Value

A named list, one element per subgroup, each a list of two data.tables:

• estimates: the weighted proportion (binary) or mean (continuous) in each baseline treatment arm, with its bootstrap confidence interval, the trial-periods eligible in each arm, partitioned into those analysed, those censored for want of a measurement in the window - measured at some point but not within [k - window, k + window] - and those never measured at all, with the censoring also as a percentage of the eligible total. Subjects counts the distinct contributing subjects.

• comparison: the pairwise between-arm difference - in proportions for a binary outcome, in means for a continuous one - with its bootstrap standard error and confidence interval, paired by iteration so the interval accounts for the correlation between arms. For a binary outcome the ratio of proportions is also given, with a confidence interval computed on the log scale and a log(Ratio) SE for inverse-variance pooling. A ratio is not reported for a continuous outcome, where the outcome need not be bounded away from zero.