View source: R/df_parse_outcomes.R
df_parse_outcomes | R Documentation |
Parse a string of dose-finding trial outcomes to the binary
vector notation required by Stan for model invocation. The outcome string
describes the doses given and outcomes observed. The format of the string is
the pure phase I analogue to that described in Brock et al. (2017).
The letters T and N are used to represents patients that experienced
(T)oxicity and (N)o toxicity. These letters are concatenated after numerical
dose-levels to convey the outcomes of cohorts of patients.
For instance, 2NNT
represents a cohort of three patients that were
treated at dose-level 2, one of whom experienced toxicity, and two that did
not. The results of cohorts are separated by spaces. Thus, 2NNT 1NN
extends our previous example, where the next cohort of two were treated at
dose-level 1 and neither experienced toxicity. See examples.
df_parse_outcomes(outcome_string, as.list = TRUE)
outcome_string |
character string, conveying doses given and outcomes observed. |
as.list |
TRUE (the default) to return a |
If as.list == TRUE
, a list with elements tox
,
doses
and num_patients
. These elements are congruent with those
of the same name in crm_params
, for example.
If as.list == FALSE
, a data.frame with columns tox
and
doses
.
Brock, K., Billingham, L., Copland, M., Siddique, S., Sirovica, M., & Yap, C. (2017). Implementing the EffTox dose-finding design in the Matchpoint trial. BMC Medical Research Methodology, 17(1), 112. https://doi.org/10.1186/s12874-017-0381-x
x = df_parse_outcomes('1NNN 2NTN 3TTT')
x$num_patients # 9
x$doses # c(1, 1, 1, 2, 2, 2, 3, 3, 3)
x$tox # c(0, 0, 0, 0, 1, 0, 1, 1, 1)
sum(x$tox) # 4
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