- of a
covariate consisting of
yearly values of
annual mean
atmospheric pressure at sea level. The
results showed that
inclusion of the
covariate allowed...
- A time-varying
covariate (also
called time-dependent
covariate) is a term used in statistics,
particularly in
survival analysis. It
reflects the phenomenon...
- discussion. It was
believed that it can
mitigate the
problem of
internal covariate shift,
where parameter initialization and
changes in the distribution...
- variable(s)
might describe treatment and the
continuous variable(s)
might be
covariates or
nuisance variables; or vice versa. Mathematically,
ANCOVA decomposes...
-
linear regression) the
coefficient estimates do not need to be
unique if
covariates are collinear.
Though originally defined for
linear regression, l****o...
- more
covariates that may be ****ociated with that
quantity of time. In a
proportional hazards model, the
unique effect of a unit
increase in a
covariate is...
- and
where the
control of
concomitant continuous independent variables –
covariates – is required. The most
prominent benefit of the
MANCOVA design over the...
- of the
covariates ("reverse" causation),
there are
omitted variables that
affect both the
dependent and
explanatory variables, or the
covariates are subject...
- that the
effect of a
covariate is to
multiply the
hazard by some constant, an AFT
model ****umes that the
effect of a
covariate is to
accelerate or decelerate...
-
effect of a treatment, policy, or
other intervention by
accounting for the
covariates that
predict receiving the treatment. PSM
attempts to
reduce the bias...
