- of a
covariate consisting of
yearly values of
annual mean
atmospheric pressure at sea level. The
results showed that
inclusion of the
covariate allowed...
-
linear regression) the
coefficient estimates do not need to be
unique if
covariates are collinear.
Though originally defined for
linear regression, l****o...
-
effect of a treatment, policy, or
other intervention by
accounting for the
covariates that
predict receiving the treatment. PSM
attempts to
reduce the bias...
- A time-varying
covariate (also
called time-dependent
covariate) is a term used in statistics,
particularly in
survival analysis. It
reflects the phenomenon...
- variable(s)
might describe treatment and the
continuous variable(s)
might be
covariates (CV)'s,
typically nuisance variables; or vice versa. Mathematically, ANCOVA...
- of the
covariates ("reverse" causation),
there are
omitted variables that
affect both the
dependent and
explanatory variables, or the
covariates are subject...
-
covariates include functional data.
Functional regression models can be
classified into four
types depending on
whether the
responses or
covariates are...
- 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...
-
covariate in as many parti****nts as necessary, the cost and
effort of
exposure ****essment is reduced. This
benefit is
pronounced when the
covariate of...
- discussion. It was
believed that it can
mitigate the
problem of
internal covariate shift,
where parameter initialization and
changes in the distribution...
