Korn and Graubard confidence intervals for proportions, adjusted for degrees of freedom
Source:R/svyciprop_adjusted.R
svyciprop_adjusted.Rd
A version of survey::svyciprop( method = "beta" )
that adjusts for the degrees of freedom.
Arguments
- formula
see
survey::svyciprop()
.- design
see
survey::svyciprop()
.- level
see
survey::svyciprop()
.- adj
adjustment to the Korn and Graubard confidence intervals:
"none"
(default),"NCHS"
, or"NHIS"
.- ...
see
survey::svyciprop()
.
Details
adj
specifies the adjustment to the Korn and Graubard confidence intervals.
"none"
: No adjustment is performed. Produces standard Korn and Graubard confidence intervals, same assurvey::svyciprop( method = "beta" )
."NCHS"
: Adjustment that might be required by some (though not all) NCHS data systems. With this adjustment, the degrees of freedom is set todegf(design)
. Consult the documentation for the data system that you are analyzing to determine if this is the appropriate adjustment."NHIS"
: Adjustment that might be required by NHIS. With this adjustment, the degrees of freedom is set tonrow(design) - 1
. Consult the documentation for the data system that you are analyzing to determine if this is the appropriate adjustment.
To use these adjustments in surveytable
tabulations, call set_survey()
or set_opts()
with the
appropriate mode
or adj
argument.
Originally written by Makram Talih in 2019.
Examples
set_survey(namcs2019sv)
#> Survey info {NAMCS 2019 PUF}
#> ┌───────────┬──────────────┬────────────────────────────────────────────────┐
#> │ Variables │ Observations │ Design │
#> ├───────────┼──────────────┼────────────────────────────────────────────────┤
#> │ 33 │ 8,250 │ Stratified 1 - level Cluster Sampling design │
#> │ │ │ (with replacement) │
#> │ │ │ With (398) clusters. │
#> │ │ │ namcs2019sv = survey::svydesign(ids = ~CPSUM, │
#> │ │ │ strata = ~CSTRATM, weights = ~PATWT │
#> │ │ │ , data = namcs2019sv_df) │
#> └───────────┴──────────────┴────────────────────────────────────────────────┘
#>
set_opts(adj = "NCHS")
#> * Korn and Graubard confidence intervals for proportions with an adjustment that might be required by some (though not all) NCHS data systems.
tab("AGER")
#> Patient age recode {NAMCS 2019 PUF}
#> ┌─────────────┬───────┬─────────────┬────────────┬─────────────┬─────────────┬─────────┬─────┬──────┬──────┐
#> │ Level │ n │ Number │ SE │ LL │ UL │ Percent │ SE │ LL │ UL │
#> ├─────────────┼───────┼─────────────┼────────────┼─────────────┼─────────────┼─────────┼─────┼──────┼──────┤
#> │ Under 15 │ 887 │ 117,916,772 │ 14,097,315 │ 93,228,928 │ 149,142,177 │ 11.4 │ 1.3 │ 8.9 │ 14.2 │
#> │ years │ │ │ │ │ │ │ │ │ │
#> ├─────────────┼───────┼─────────────┼────────────┼─────────────┼─────────────┼─────────┼─────┼──────┼──────┤
#> │ 15-24 years │ 542 │ 64,855,698 │ 7,018,359 │ 52,386,950 │ 80,292,164 │ 6.3 │ 0.6 │ 5.1 │ 7.5 │
#> ├─────────────┼───────┼─────────────┼────────────┼─────────────┼─────────────┼─────────┼─────┼──────┼──────┤
#> │ 25-44 years │ 1,435 │ 170,270,604 │ 13,965,978 │ 144,924,545 │ 200,049,472 │ 16.4 │ 1.1 │ 14.3 │ 18.8 │
#> ├─────────────┼───────┼─────────────┼────────────┼─────────────┼─────────────┼─────────┼─────┼──────┼──────┤
#> │ 45-64 years │ 2,283 │ 309,505,956 │ 23,289,827 │ 266,994,092 │ 358,786,727 │ 29.9 │ 1.4 │ 27.2 │ 32.6 │
#> ├─────────────┼───────┼─────────────┼────────────┼─────────────┼─────────────┼─────────┼─────┼──────┼──────┤
#> │ 65-74 years │ 1,661 │ 206,865,982 │ 14,365,993 │ 180,480,708 │ 237,108,637 │ 20 │ 1.2 │ 17.6 │ 22.5 │
#> ├─────────────┼───────┼─────────────┼────────────┼─────────────┼─────────────┼─────────┼─────┼──────┼──────┤
#> │ 75 years │ 1,442 │ 167,069,344 │ 15,179,082 │ 139,746,193 │ 199,734,713 │ 16.1 │ 1.3 │ 13.7 │ 18.8 │
#> │ and over │ │ │ │ │ │ │ │ │ │
#> └─────────────┴───────┴─────────────┴────────────┴─────────────┴─────────────┴─────────┴─────┴──────┴──────┘
#> N = 8250.
#>
set_opts(adj = "none")
#> * Korn and Graubard confidence intervals for proportions.