Nothing
## ----echo = FALSE, message = FALSE, include = FALSE---------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
out.width = "100%"
)
## ----message = FALSE----------------------------------------------------------
library(metalite)
library(r2rtf)
## ----echo = FALSE, out.width = "100%", fig.align = "center"-------------------
knitr::include_graphics("images/design-diagram.png")
## -----------------------------------------------------------------------------
meta_adam(
observation = r2rtf_adae,
population = r2rtf_adsl
)
## -----------------------------------------------------------------------------
plan <- plan(
analysis = "ae_summary", population = "apat",
observation = c("wk12", "wk24"), parameter = "any;rel;ser"
) |>
add_plan(
analysis = "ae_specific", population = "apat",
observation = c("wk12", "wk24"),
parameter = c("any", "aeosi", "rel", "ser")
)
plan
## -----------------------------------------------------------------------------
meta_adam(
population = r2rtf_adsl,
observation = r2rtf_adae
) |>
define_plan(plan)
## -----------------------------------------------------------------------------
meta_adam(
population = r2rtf_adsl,
observation = r2rtf_adae
) |>
define_plan(plan) |>
define_population(name = "apat")
## -----------------------------------------------------------------------------
meta_adam(
population = r2rtf_adsl,
observation = r2rtf_adae
) |>
define_plan(plan) |>
define_population(
name = "apat",
group = "TRT01A",
subset = SAFFL == "Y"
)
## -----------------------------------------------------------------------------
meta_adam(
population = r2rtf_adsl,
observation = r2rtf_adae
) |>
define_plan(plan = plan) |>
define_population(
name = "apat",
group = "TRT01A",
subset = SAFFL == "Y"
) |>
define_observation(
name = "wk12",
group = "TRTA",
subset = SAFFL == "Y",
label = "Weeks 0 to 12"
) |>
define_observation(
name = "wk24",
group = "TRTA",
subset = AOCC01FL == "Y", # just for demo, another flag shall be used.
label = "Weeks 0 to 24"
) |>
define_parameter(
name = "rel",
subset = AEREL %in% c("POSSIBLE", "PROBABLE")
) |>
define_parameter(
name = "aeosi",
subset = AEOSI == "Y",
label = "adverse events of special interest"
) |>
define_analysis(
name = "ae_summary",
title = "Summary of Adverse Events"
) |>
meta_build()
## ----eval = FALSE-------------------------------------------------------------
# ae_summary(
# meta,
# population,
# observation,
# parameter, ...
# )
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