Dickinson_design: Raw county-level variables for study 1 in Dickinson et al...
In cvcrand: Efficient Design and Analysis of Cluster Randomized Trials
Dickinson_design R Documentation
Raw county-level variables for study 1 in Dickinson et al (2015)
Description
Two approaches (interventions) were compared for increasing the "up-to-date" immunization rate
in 19- to 35-month-old children. 16 counties in Colorado 1:1 were randomized 1:1 to either a
population-based approach or a practice-based approach. Ahead of randomization, several
county-level variables were collected, and a subset of them are used for covariate constrained
randomization. The continuous variable of average income is categorized into tertiles to illustrate the
use of cvcrand on multi-category variables. And the percentage in CIIS variable is truncated at 100
Format
A data frame with 16 rows and 11 variables:
- county
the identification for the county
- location
urban or rural
- inciis
percentage of children aged 19-35 months in the Colorado Immunization Information System (CIIS)
- numberofchildrenages1935months
number of children aged 19-35 months
- uptodateonimmunizations
percentage of children already up-to-date on their immunization
- africanamerican
percentage of population that is African American
- hispanic
percentage of population that is Hispanic
- income
average income
- incomecat
average income categorized into tertiles
- pediatricpracticetofamilymedicin
pediatric practice-to-family medicine practice ratio
- communityhealthcenters
number of community health centers
Source
https://www.jabfm.org/content/28/5/663/tab-figures-data
References
Dickinson, L. M., B. Beaty, C. Fox, W. Pace, W. P. Dickinson, C. Emsermann,
and A. Kempe (2015): Pragmatic cluster randomized trials using covariate
constrained randomization: A method for practice-based research networks (PBRNs).
The Journal of the American Board of Family Medicine 28(5): 663-672
cvcrand documentation built on Sept. 17, 2023, 9:06 a.m.
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| Dickinson_design | R Documentation |
Raw county-level variables for study 1 in Dickinson et al (2015)
Description
Two approaches (interventions) were compared for increasing the "up-to-date" immunization rate in 19- to 35-month-old children. 16 counties in Colorado 1:1 were randomized 1:1 to either a population-based approach or a practice-based approach. Ahead of randomization, several county-level variables were collected, and a subset of them are used for covariate constrained randomization. The continuous variable of average income is categorized into tertiles to illustrate the use of cvcrand on multi-category variables. And the percentage in CIIS variable is truncated at 100
Format
A data frame with 16 rows and 11 variables:
- county
the identification for the county
- location
urban or rural
- inciis
percentage of children aged 19-35 months in the Colorado Immunization Information System (CIIS)
- numberofchildrenages1935months
number of children aged 19-35 months
- uptodateonimmunizations
percentage of children already up-to-date on their immunization
- africanamerican
percentage of population that is African American
- hispanic
percentage of population that is Hispanic
- income
average income
- incomecat
average income categorized into tertiles
- pediatricpracticetofamilymedicin
pediatric practice-to-family medicine practice ratio
- communityhealthcenters
number of community health centers
Source
https://www.jabfm.org/content/28/5/663/tab-figures-data
References
Dickinson, L. M., B. Beaty, C. Fox, W. Pace, W. P. Dickinson, C. Emsermann, and A. Kempe (2015): Pragmatic cluster randomized trials using covariate constrained randomization: A method for practice-based research networks (PBRNs). The Journal of the American Board of Family Medicine 28(5): 663-672
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