Prepare monitored study data for monitoring and analysis
Source:R/prepare_monitored_study_data.R
prepare_monitored_study_data.RdPrepare monitored study data for monitoring and analysis
Usage
prepare_monitored_study_data(
data,
study_time,
id_variable,
covariates_variables,
enrollment_time_variable,
treatment_variable,
outcome_variables,
outcome_time_variables,
observe_missing_times,
outcomes_sequential = TRUE,
time_to_event = FALSE
)Arguments
- data
A
data.framecontaining the baseline covariates, treatment assignment, randomization time, observed outcomes, and times of outcome assessments.- study_time
A
numericscalar indicating the time from study initiation to the export of the data (or latest observed event, such as randomization of participants or outcome ascertainment).- id_variable
A
characterscalar containing the column name of the study participant identifier.- covariates_variables
A
charactervector containing the column names of the covariates and outcomes observed prior to randomization.- enrollment_time_variable
A
characterscalar containing the column name of the enrollment/randomization time variable.- treatment_variable
A
characterscalar containing the column name of the binary treatment assignment variable.- outcome_variables
A
charactervector containing the column names of the outcomes observed after randomization.- outcome_time_variables
A
charactervector containing the column names of the observation times of outcomes observed after randomization.- observe_missing_times
A
numericvector containing the- outcomes_sequential
A
logicalscalar: are outcomes sequential in nature (e.g. a sequence of study visits) or not (e.g. times from randomization to different events)?- time_to_event
A
logicalscalar: are outcomes times from randomization to events (TRUE) or a continuous, binary, or ordinal outcome (FALSE)?