HCE4: 'HCE1', 'HCE2', 'HCE3', 'HCE4' datasets for 1000 patients...
In hce: Design and Analysis of Hierarchical Composite Endpoints
HCE4 R Documentation
HCE1, HCE2, HCE3, HCE4 datasets for 1000 patients with different treatment effects.
Description
A simulated dataset containing the ordinal values and other attributes for 1000 patients.
HCE4
Usage
HCE4
Format
a data frame with 1000 rows and 6 variables:
- ID
subject ID, numbers from 1 to 1000
- TRTP
treatment values, A Active or P Placebo, character
- GROUP
type of the event, either Time-To-Event (TTE) or Continuous (C), character
- GROUPN
type of the event, for the ordering of outcomes in the GROUP variable, numeric
- AVALT
the timing of the time-to-event outcomes, numeric
- AVAL0
original values for each type of the event, time for TTE outcomes, numeric values for Continuous outcomes, numeric
- AVAL
AVAL = AVAL0 + GROUPN, ordinal analysis values for the HCE analysis. For the continuous outcome the values of AVAL0 are shifted to start always from 0. Numeric, but caution NOT to apply numeric operations; will give meaningless results
- PADY
primary analysis day, the length of fixed follow-up in days, numeric
hce documentation built on Oct. 16, 2024, 9:06 a.m.
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| HCE4 | R Documentation |
HCE1, HCE2, HCE3, HCE4 datasets for 1000 patients with different treatment effects.
Description
A simulated dataset containing the ordinal values and other attributes for 1000 patients. HCE4
Usage
HCE4
Format
a data frame with 1000 rows and 6 variables:
- ID
subject ID, numbers from 1 to 1000
- TRTP
treatment values, A Active or P Placebo, character
- GROUP
type of the event, either Time-To-Event (TTE) or Continuous (C), character
- GROUPN
type of the event, for the ordering of outcomes in the
GROUPvariable, numeric- AVALT
the timing of the time-to-event outcomes, numeric
- AVAL0
original values for each type of the event, time for TTE outcomes, numeric values for Continuous outcomes, numeric
- AVAL
AVAL = AVAL0 + GROUPN, ordinal analysis values for the HCE analysis. For the continuous outcome the values ofAVAL0are shifted to start always from 0. Numeric, but caution NOT to apply numeric operations; will give meaningless results- PADY
primary analysis day, the length of fixed follow-up in days, numeric
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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