Description Usage Arguments Examples
This function allows you simulate the follow-up of a complex longitudinal dataset under different intervention regimes.
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ii |
A numeric sequence (e.g., 1:5000) indicating monte carlo resample size. |
mc_data |
The original re-sampled baseline data. |
length |
A numeric length of follow-up to be simulated. |
randomization |
A numeric randomization. "NULL" indicates natural course, "1" indicates set randomization to treatment, "0" indicates set randomization to placebo. Defaults to "NULL". |
exposure |
A numeric exposure. "NULL" indicates natural course, "1" indicates set to exposed, "0" indicates set to unexposed. |
censoring |
A numeric censoring. "NULL" indicates no censoring, and "natural" indicates censoring as in empirical data. Defaults to "NULL". |
1 | pgf()
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