msmdata: NICE TA174 dataset in multi-state format.
In survHE: Survival Analysis in Health Economic Evaluation
msmdata R Documentation
NICE TA174 dataset in multi-state format.
Description
These are the same data contained in NICE TA174, as
made publicly available as part of the supplementary
material for Williams et al (2017). Medical Decision
Making, 37;427-439. However, the data have been
restructured (by using the function make_data_multi_state())
to be used for multi-state analysis
Usage
msmdata
Format
A tibble with 1868 rows and 16 variables:
- id
A numeric patient identifier
- from
An indicator of the starting state.
1=Pre-progression; 2=Progression; 3=Death
- to
An indicator for the arriving state
- trans
A code for the actual transition considered.
1=Pre-progression -> Progression; 2=Pre-progression ->
Death; 3=Progression -> Death
- Tstart
The time of entry into the observation
- Tstop
The time of exit from observation
- time
The observed time until even (progression or
death), or censoring occurs
- status
The event indicator; takes value 1 if the
underlying event (which varies depending on which
transition is being considered) happens and 0 otherwise
- treat
The treatment indicator. 1=rituximab
in combination with fludarabine andcyclophosphamide
(RFC); 0=fludarabine and cyclo-phosphamide alone (FC)
- patid
The original numeric patient identifier
- prog
The original indicator to describe whether
the patient has experience a progression
- death
The original indicator to describe whether
the patient has experience death
- prog_t
The original observed time at progression,
or the time at which the patient has been censored;
measured in months
- death_t
The original observed time at death, or
the time at which the patient has been censored;
measured in months
- prog_ty
The original observed time at progression,
or the time at which the patient has been censored;
measured in years
- death_ty
The original observed time at death, or
the time at which the patient has been censored;
measured in years
survHE documentation built on Oct. 4, 2024, 5:10 p.m.
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| msmdata | R Documentation |
NICE TA174 dataset in multi-state format.
Description
These are the same data contained in NICE TA174, as
made publicly available as part of the supplementary
material for Williams et al (2017). Medical Decision
Making, 37;427-439. However, the data have been
restructured (by using the function make_data_multi_state())
to be used for multi-state analysis
Usage
msmdata
Format
A tibble with 1868 rows and 16 variables:
- id
A numeric patient identifier
- from
An indicator of the starting state. 1=Pre-progression; 2=Progression; 3=Death
- to
An indicator for the arriving state
- trans
A code for the actual transition considered. 1=Pre-progression -> Progression; 2=Pre-progression -> Death; 3=Progression -> Death
- Tstart
The time of entry into the observation
- Tstop
The time of exit from observation
- time
The observed time until even (progression or death), or censoring occurs
- status
The event indicator; takes value 1 if the underlying event (which varies depending on which transition is being considered) happens and 0 otherwise
- treat
The treatment indicator. 1=rituximab in combination with fludarabine andcyclophosphamide (RFC); 0=fludarabine and cyclo-phosphamide alone (FC)
- patid
The original numeric patient identifier
- prog
The original indicator to describe whether the patient has experience a progression
- death
The original indicator to describe whether the patient has experience death
- prog_t
The original observed time at progression, or the time at which the patient has been censored; measured in months
- death_t
The original observed time at death, or the time at which the patient has been censored; measured in months
- prog_ty
The original observed time at progression, or the time at which the patient has been censored; measured in years
- death_ty
The original observed time at death, or the time at which the patient has been censored; measured in years
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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