The REPWEIGHTS statement names variables that provide replicate weights for BRR or jackknife variance estimation, which you
request with the VARMETHOD=BRR
or VARMETHOD=JACKKNIFE
option in the PROC SURVEYPHREG statement. If you do not provide replicate weights for these methods by using a REPWEIGHTS
statement, then PROC SURVEYPHREG constructs replicate weights for the analysis. See the sections Balanced Repeated Replication (BRR) Method and Jackknife Method for more information.
Each REPWEIGHTS variable should contain the weights for a single replicate, and the number of replicates equals the number
of REPWEIGHTS variables. The REPWEIGHTS variables must be numeric, and the variable values must be nonnegative numbers.
If you provide replicate weights with a REPWEIGHTS statement, you do not need to specify a CLUSTER
or STRATA
statement. If you use a REPWEIGHTS statement and do not specify the VARMETHOD=
option in the PROC SURVEYPHREG statement, the procedure uses VARMETHOD=JACKKNIFE by default.
If you specify a REPWEIGHTS statement but do not include a WEIGHT
statement, PROC SURVEYPHREG uses the average of each observationâ€™s replicate weights as the observationâ€™s weight.
You can specify the following options in the REPWEIGHTS statement after a slash (/):

DF=df

specifies the degrees of freedom for the analysis. The value of df must be a positive number. See the section Degrees of Freedom for details.
PROC SURVEYPHREG also use the DF= value in computing the denominator degrees of freedom for the F statistics in Wald type tests and confidence intervals.

JKCOEFS=jackknifecoefficientspecification

specifies jackknife coefficients for VARMETHOD=JACKKNIFE
. The default value for the jackknife coefficient is , where R is the total number of replicates. You can specify an alternative value with one of the following three forms:

JKCOEFS=value

specifies a single jackknife coefficient for all replicates. The coefficient value must be a nonnegative number.

JKCOEFS=(values)

specifies jackknife coefficients for VARMETHOD=JACKKNIFE
, where each coefficient corresponds to an individual replicate identified by a REPWEIGHTS variable. You can separate values with blanks or commas. The coefficient values must be nonnegative numbers. The number of values must equal the number of replicate weight variables named in the REPWEIGHTS statement. List these values in the same order
in which you list the corresponding replicate weight variables in the REPWEIGHTS statement.

JKCOEFS=SASdataset

names a SAS data set that contains the jackknife coefficients for VARMETHOD
=JACKKNIFE. You provide the jackknife coefficients in the JKCOEFS= data set variable JKCoefficient
. Each coefficient value must be a nonnegative number. The observations in the JKCOEFS= data set should correspond to the
replicates that are identified by the REPWEIGHTS variables. Arrange the coefficients or observations in the JKCOEFS= data
set in the same order in which you list the corresponding replicate weight variables in the REPWEIGHTS statement. The number
of observations in the JKCOEFS= data set must not be less than the number of REPWEIGHTS variables.
See the section Jackknife Method for details about jackknife coefficients.