construct_incompMat

Mostly useful to build incomplete stepped wedge designs

Tools for power and sample size
calculation as well as design diagnostics for
longitudinal mixed model settings, with a focus on stepped wedge designs.
All calculations are oracle estimates i.e. assume random effect variances
to be known (or guessed) in advance.
The method is introduced in Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>,
extensions are discussed in Li et al. (2020) <doi:10.1177/0962280220932962>.

Philipp Mildenberger

SteppedPower

Power Calculation for Stepped Wedge Designs

Federico Marini

construct_incompMat function

<dl><dt>incomplete</dt>
<dd>integer, either a scalar (only for SWD) or a matrix.
A vector defines the number of periods before and after the switch from
control to intervention that are observed. A matrix consists of `1`s for
observed clusterperiods and `0`s or `NA` for unobserved clusterperiods.</dd>
<dt>dsntype</dt>
<dd>character, defines the type of design. Options are "SWD",
"parallel" and "parallel_baseline", defaults to "SWD".</dd>
<dt>timepoints</dt>
<dd>numeric (scalar or vector), number of timepoints (periods).
If design is swd, timepoints defaults to length(Cl)+1.
Defaults to 1 for parallel designs.</dd>
<dt>Cl</dt>
<dd>integer (vector), number of clusters per sequence group (in SWD),
or number in control and intervention (in parallel designs)</dd>
<dt>trtmatrix</dt>
<dd>an optional user defined matrix
to define treatment allocation</dd></dl>

Arguments

Constructs a matrix of `NA` and `1` for unobserved and observed cluster periods, respectively. — construct_incompMat

<dl>

<dt>incomplete</dt>
<dd>integer, either a scalar (only for SWD) or a matrix.
A vector defines the number of periods before and after the switch from
control to intervention that are observed. A matrix consists of `1`s for
observed clusterperiods and `0`s or `NA` for unobserved clusterperiods.</dd>


<dt>dsntype</dt>
<dd>character, defines the type of design. Options are "SWD",
"parallel" and "parallel_baseline", defaults to "SWD".</dd>


<dt>timepoints</dt>
<dd>numeric (scalar or vector), number of timepoints (periods).
If design is swd, timepoints defaults to length(Cl)+1.
Defaults to 1 for parallel designs.</dd>


<dt>Cl</dt>
<dd>integer (vector), number of clusters per sequence group (in SWD),
or number in control and intervention (in parallel designs)</dd>


<dt>trtmatrix</dt>
<dd>an optional user defined matrix
to define treatment allocation</dd>

</dl>

construct_incompMat: Constructs a matrix of `NA` and `1` for unobserved and observed cluster periods, respectively.

Description

Usage

Value

Arguments