mannwhitney: Estimate the Mann-Whitney Statistic
In nt-williams/survrct: Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards and Odds Assumptions
Description
Usage
Arguments
Value
See Also
Examples
Description
Computes the Mann-Whitney estimand; the probability that a randomly drawn patient
from the treated arm has a better outcome than a randomly drawn patient from
the control arm, with ties broken at random
Usage
1
mannwhitney(metadata)
Arguments
metadata
An object of class "Ordinal" generated by a call to ordinalrct().
Value
A list of class mannwhit containing the computed estimates
including the efficient influence function, standard errors,
and confidence intervals.
See Also
ordinalrct for creating metadata.
Other ordinalrct functions:
cdf(),
log_or(),
pmf()
Examples
1
2
rct <- ordinalrct(state_ordinal ~ A + age, A ~ 1, data = c19.ordinal)
mannwhitney(rct)
nt-williams/survrct documentation built on July 29, 2021, 7:46 a.m.
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Description Usage Arguments Value See Also Examples
Description
Computes the Mann-Whitney estimand; the probability that a randomly drawn patient from the treated arm has a better outcome than a randomly drawn patient from the control arm, with ties broken at random
Usage
1 | mannwhitney(metadata)
|
Arguments
metadata |
An object of class "Ordinal" generated by a call to |
Value
A list of class mannwhit containing the computed estimates
including the efficient influence function, standard errors,
and confidence intervals.
See Also
ordinalrct for creating metadata.
Other ordinalrct functions:
cdf(),
log_or(),
pmf()
Examples
1 2 | rct <- ordinalrct(state_ordinal ~ A + age, A ~ 1, data = c19.ordinal)
mannwhitney(rct)
|
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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