getDirect: Obtain the Horvitz-Thompson direct estimates and standard...

In SUMMER: Small-Area-Estimation Unit/Area Models and Methods for Estimation in R

Obtain the Horvitz-Thompson direct estimates and standard errors using delta method for a single survey.

Description

Obtain the Horvitz-Thompson direct estimates and standard errors using delta method for a single survey.

Usage

getDirect(
  births,
  years,
  regionVar = "region",
  timeVar = "time",
  clusterVar = "~v001+v002",
  ageVar = "age",
  weightsVar = "v005",
  Ntrials = NULL,
  geo.recode = NULL,
  national.only = FALSE,
  CI = 0.95
)

Arguments

births	A matrix child-month data from getBirths
years	String vector of the year intervals used
regionVar	Variable name for region in the input births data.
timeVar	Variable name for the time period indicator in the input births data.
clusterVar	Variable name for cluster, typically '~v001 + v002'
ageVar	Variable name for age group. This variable need to be in the form of "a-b" where a and b are both ages in months. For example, "1-11" means age between 1 and 11 months, including both end points. An exception is age less than one month can be represented by "0" or "0-0".
weightsVar	Variable name for sampling weights, typically 'v005'
Ntrials	Variable for the total number of person-months if the input data (births) is in the compact form.
geo.recode	The recode matrix to be used if region name is not consistent across different surveys. See ChangeRegion.
national.only	Logical indicator to obtain only the national estimates
CI	the desired confidence interval to calculate

Value

a matrix of period-region summary of the Horvitz-Thompson direct estimates by region and time period specified in the argument, the standard errors using delta method for a single survey, the 95% confidence interval, and the logit of the estimates.

Author(s)

Zehang Richard Li, Bryan Martin, Laina Mercer

References

Li, Z., Hsiao, Y., Godwin, J., Martin, B. D., Wakefield, J., Clark, S. J., & with support from the United Nations Inter-agency Group for Child Mortality Estimation and its technical advisory group. (2019). Changes in the spatial distribution of the under-five mortality rate: Small-area analysis of 122 DHS surveys in 262 subregions of 35 countries in Africa. PloS one, 14(1), e0210645.

Mercer, L. D., Wakefield, J., Pantazis, A., Lutambi, A. M., Masanja, H., & Clark, S. (2015). Space-time smoothing of complex survey data: small area estimation for child mortality. The annals of applied statistics, 9(4), 1889.

See Also

getDirectList

Examples

## Not run: 
data(DemoData)
years <- c("85-89", "90-94", "95-99", "00-04", "05-09", "10-14")
mean <- getDirect(births = DemoData[[1]],  years = years, 
regionVar = "region", timeVar = "time", clusterVar = "~clustid+id", 
ageVar = "age", weightsVar = "weights", geo.recode = NULL)

## End(Not run)

SUMMER documentation built on May 29, 2024, 7:31 a.m.