write.timecourse

Adds sections of JAGS code for an MBNMA model that correspond to alpha
parameters

Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple
time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions,
following the method of Pedder et al. (2019) <doi:10.1002/jrsm.1351>.
The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple
treatment comparisons. Several general time-course functions are provided; others may be added
by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and shared
class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects
models and/or by node-splitting.

Hugo Pedder

MBNMAtime

Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models

write.timecourse function

<dl><dt>model</dt>
<dd>A character string representing the MBNMA model in JAGS code</dd>
<dt>fun</dt>
<dd>An object of class <code>"timefun"</code> generated (see Details) using any of
<code>tloglin()</code>, <code>tpoly()</code>, <code>titp()</code>, <code>temax()</code>, <code>tfpoly()</code>, <code>tspline()</code> or <code>tuser()</code></dd>
<dt>intercept</dt>
<dd>A boolean object that indicates whether an intercept (written
as <code>alpha</code> in the model) is to be included. If left as <code>NULL</code> (the default), an intercept will
be included only for studies reporting absolute means, and will be excluded for
studies reporting change from baseline (as indicated in <code>network$cfb</code>).</dd>
<dt>positive.scale</dt>
<dd>A boolean object that indicates whether all continuous
mean responses (y) are positive and therefore whether the baseline response
should be given a prior that constrains it to be positive (e.g. for scales that cannot be &lt;0).</dd>
<dt>timecourse</dt>
<dd>A character object that contains JAGS code for the
time-course component of the model</dd></dl>

Arguments

Adds sections of JAGS code for an MBNMA model that correspond to alpha
parameters — write.timecourse

<dl>

<dt>model</dt>
<dd>A character string representing the MBNMA model in JAGS code</dd>


<dt>fun</dt>
<dd>An object of class <code>"timefun"</code> generated (see Details) using any of
<code>tloglin()</code>, <code>tpoly()</code>, <code>titp()</code>, <code>temax()</code>, <code>tfpoly()</code>, <code>tspline()</code> or <code>tuser()</code></dd>


<dt>intercept</dt>
<dd>A boolean object that indicates whether an intercept (written
as <code>alpha</code> in the model) is to be included. If left as <code>NULL</code> (the default), an intercept will
be included only for studies reporting absolute means, and will be excluded for
studies reporting change from baseline (as indicated in <code>network$cfb</code>).</dd>


<dt>positive.scale</dt>
<dd>A boolean object that indicates whether all continuous
mean responses (y) are positive and therefore whether the baseline response
should be given a prior that constrains it to be positive (e.g. for scales that cannot be &lt;0).</dd>


<dt>timecourse</dt>
<dd>A character object that contains JAGS code for the
time-course component of the model</dd>

</dl>

write.timecourse: Adds sections of JAGS code for an MBNMA model that correspond to alpha parameters

Description

Usage

Value

Arguments