Dickinson_design

Two approaches (interventions) are compared for increasing the "up-to-date" immunization rate
 in 19- to 35-month-old children. 16 counties in Colorado 1:1 are randomized to either a
 population-based approach or a practice-based approach. Ahead of randomization, several
 county-level variables are collected, and a subset of them are used for covariate constrained
 randomization. The continuous variable of average income is categorized to illustrate the
 use of cvcrand on multi-category variables. And the percentage in CIIS variable is truncated at 100

Constrained randomization by Raab and Butcher (2001) <doi:10.1002/1097-0258(20010215)20:3%3C351::AID-SIM797%3E3.0.CO;2-C>
is suitable for cluster randomized trials (CRTs) with a
small number of clusters (e.g., 20 or fewer). The procedure of
constrained randomization is based on the baseline values of some
cluster-level covariates specified. The intervention effect on
the individual outcome can then be analyzed through
clustered permutation test introduced by Gail, et al. (1996) <doi:10.1002/(SICI)1097-0258(19960615)15:11%3C1069::AID-SIM220%3E3.0.CO;2-Q>.
Motivated from Li, et al. (2016) <doi:10.1002/sim.7410>, the package performs constrained randomization on the baseline
values of cluster-level covariates and cluster permutation test on the individual-level outcome for cluster randomized trials.

Hengshi Yu

cvcrand

Efficient Design and Analysis of Cluster Randomized Trials

John A. Gallis

Fan Li

Elizabeth L. Turner

Dickinson_design function

A data frame with 16 rows and 7 variables:<dl class="dl-horizontal">
 <dt>county</dt><dd>the identification for the county</dd>
 <dt>location</dt><dd>urban or rural</dd>
 <dt>inciis</dt><dd>percentage of children ages 19-35 months in the Colorado Immunization Information System (CIIS)</dd>
 <dt>uptodateonimmunizations</dt><dd>percentage of children already up-to-date on their immunization</dd>
 <dt>hispanic</dt><dd>percentage of Hispanic</dd>
 <dt>incomecat</dt><dd>average income categorized into tertiles</dd>
</dl>

Format

Raw county-level variables for study 1 in Dickinson et al (2015) — Dickinson_design

A data frame with 16 rows and 7 variables:<dl class='dl-horizontal'>
 <dt>county</dt><dd>the identification for the county</dd>
 <dt>location</dt><dd>urban or rural</dd>
 <dt>inciis</dt><dd>percentage of children ages 19-35 months in the Colorado Immunization Information System (CIIS)</dd>
 <dt>uptodateonimmunizations</dt><dd>percentage of children already up-to-date on their immunization</dd>
 <dt>hispanic</dt><dd>percentage of Hispanic</dd>
 <dt>incomecat</dt><dd>average income categorized into tertiles</dd>
</dl>

Dickinson_design: Raw county-level variables for study 1 in Dickinson et al (2015)

Description

Arguments

Format

References