[85ff8e]: / docs / reference / biomarkertmle.html

Download this file

295 lines (244 with data), 19.0 kB

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
<!-- Generated by pkgdown: do not edit by hand -->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Biomarker Evaluation with Targeted Minimum Loss Estimation of the ATE — biomarkertmle • biotmle</title>
<!-- jquery -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
<!-- Bootstrap -->
<link href="https://cdnjs.cloudflare.com/ajax/libs/bootswatch/3.4.0/readable/bootstrap.min.css" rel="stylesheet" crossorigin="anonymous" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
<!-- bootstrap-toc -->
<link rel="stylesheet" href="../bootstrap-toc.css">
<script src="../bootstrap-toc.js"></script>
<!-- Font Awesome icons -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
<!-- clipboard.js -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
<!-- headroom.js -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
<!-- pkgdown -->
<link href="../pkgdown.css" rel="stylesheet">
<script src="../pkgdown.js"></script>
<meta property="og:title" content="Biomarker Evaluation with Targeted Minimum Loss Estimation of the ATE — biomarkertmle" />
<meta property="og:description" content="Computes the causal target parameter defined as the difference between the
biomarker expression values under treatment and those same values under no
treatment, using Targeted Minimum Loss Estimation." />
<!-- mathjax -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
</head>
<body data-spy="scroll" data-target="#toc">
<div class="container template-reference-topic">
<header>
<div class="navbar navbar-default navbar-fixed-top" role="navigation">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">biotmle</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.17.0</span>
</span>
</div>
<div id="navbar" class="navbar-collapse collapse">
<ul class="nav navbar-nav">
<li>
<a href="../index.html">
<span class="fas fa-home fa-lg"></span>
</a>
</li>
<li>
<a href="../reference/index.html">Reference</a>
</li>
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
Articles
<span class="caret"></span>
</a>
<ul class="dropdown-menu" role="menu">
<li>
<a href="../articles/exposureBiomarkers.html">Identifying Biomarkers from an Exposure Variable with `biotmle`</a>
</li>
</ul>
</li>
</ul>
<ul class="nav navbar-nav navbar-right">
<li>
<a href="https://github.com/nhejazi/biotmle/">
<span class="fab fa-github fa-lg"></span>
</a>
</li>
</ul>
</div><!--/.nav-collapse -->
</div><!--/.container -->
</div><!--/.navbar -->
</header>
<div class="row">
<div class="col-md-9 contents">
<div class="page-header">
<h1>Biomarker Evaluation with Targeted Minimum Loss Estimation of the ATE</h1>
<small class="dont-index">Source: <a href='https://github.com/nhejazi/biotmle/blob/master/R/biotmle.R'><code>R/biotmle.R</code></a></small>
<div class="hidden name"><code>biomarkertmle.Rd</code></div>
</div>
<div class="ref-description">
<p>Computes the causal target parameter defined as the difference between the
biomarker expression values under treatment and those same values under no
treatment, using Targeted Minimum Loss Estimation.</p>
</div>
<pre class="usage"><span class='fu'>biomarkertmle</span><span class='op'>(</span>
<span class='va'>se</span>,
<span class='va'>varInt</span>,
normalized <span class='op'>=</span> <span class='cn'>TRUE</span>,
ngscounts <span class='op'>=</span> <span class='cn'>FALSE</span>,
bppar_type <span class='op'>=</span> <span class='fu'>BiocParallel</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/BiocParallel/man/MulticoreParam-class.html'>MulticoreParam</a></span><span class='op'>(</span><span class='op'>)</span>,
bppar_debug <span class='op'>=</span> <span class='cn'>FALSE</span>,
cv_folds <span class='op'>=</span> <span class='fl'>1</span>,
g_lib <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SL.mean"</span>, <span class='st'>"SL.glm"</span>, <span class='st'>"SL.bayesglm"</span><span class='op'>)</span>,
Q_lib <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SL.mean"</span>, <span class='st'>"SL.bayesglm"</span>, <span class='st'>"SL.earth"</span>, <span class='st'>"SL.ranger"</span><span class='op'>)</span>,
<span class='va'>...</span>
<span class='op'>)</span></pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>se</th>
<td><p>A <code>SummarizedExperiment</code> containing microarray expression
or next-generation sequencing data in the <code>assays</code> slot and a matrix
of phenotype-level data in the <code>colData</code> slot.</p></td>
</tr>
<tr>
<th>varInt</th>
<td><p>A <code>numeric</code> indicating the column of the design matrix
corresponding to the treatment or outcome of interest (in the
<code>colData</code> slot of the <code>SummarizedExperiment</code> argument "se").</p></td>
</tr>
<tr>
<th>normalized</th>
<td><p>A <code>logical</code> indicating whether the data included in
the <code>assay</code> slot of the input <code>SummarizedExperiment</code> object has
been normalized externally. The default is set to <code>TRUE</code> with the
expectation that an appropriate normalization method has been applied. If
set to <code>FALSE</code>, median normalization is performed for microarray data.</p></td>
</tr>
<tr>
<th>ngscounts</th>
<td><p>A <code>logical</code> indicating whether the data are counts
generated from a next-generation sequencing experiment (e.g., RNA-seq). The
default setting assumes continuous expression measures as generated by
microarray platforms.</p></td>
</tr>
<tr>
<th>bppar_type</th>
<td><p>A parallelization option specified by <code>BiocParallel</code>.
Consult the manual page for <code><a href='https://rdrr.io/pkg/BiocParallel/man/BiocParallelParam-class.html'>BiocParallelParam</a></code>
for possible types and their descriptions. The default for this argument is
<code><a href='https://rdrr.io/pkg/BiocParallel/man/MulticoreParam-class.html'>MulticoreParam</a></code>, for multicore evaluation.</p></td>
</tr>
<tr>
<th>bppar_debug</th>
<td><p>A <code>logical</code> indicating whether or not to rely upon
pkgBiocParallel. Setting this argument to <code>TRUE</code>, replaces the call
to <code><a href='https://rdrr.io/pkg/BiocParallel/man/bplapply.html'>bplapply</a></code> by a call to <code>lapply</code>, which
significantly reduces the overhead of debugging. Note that invoking this
option overrides all other parallelization arguments.</p></td>
</tr>
<tr>
<th>cv_folds</th>
<td><p>A <code>numeric</code> scalar indicating how many folds to use in
performing targeted minimum loss estimation. Cross-validated estimates have
been demonstrated to allow relaxation of certain theoretical conditions and
and accommodate the construction of more conservative variance estimates.</p></td>
</tr>
<tr>
<th>g_lib</th>
<td><p>A <code>character</code> vector specifying the library of machine
learning algorithms for use in fitting the propensity score P(A = a | W).</p></td>
</tr>
<tr>
<th>Q_lib</th>
<td><p>A <code>character</code> vector specifying the library of machine
learning algorithms for use in fitting the outcome regression E[Y | A,W].</p></td>
</tr>
<tr>
<th>...</th>
<td><p>Additional arguments to be passed to <code><a href='https://rdrr.io/pkg/drtmle/man/drtmle.html'>drtmle</a></code>
in computing the targeted minimum loss estimator of the average treatment
effect.</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>S4 object of class <code>biotmle</code>, inheriting from
<code>SummarizedExperiment</code>, with additional slots <code>tmleOut</code> and
<code>call</code>, among others, containing TML estimates of the ATE of exposure
on biomarker expression.</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'><span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'><a href='https://dplyr.tidyverse.org'>dplyr</a></span><span class='op'>)</span>
</div><div class='output co'>#&gt; <span class='message'></span>
#&gt; <span class='message'>Attaching package: ‘dplyr’</span></div><div class='output co'>#&gt; <span class='message'>The following object is masked from ‘package:Biobase’:</span>
#&gt; <span class='message'></span>
#&gt; <span class='message'> combine</span></div><div class='output co'>#&gt; <span class='message'>The following objects are masked from ‘package:GenomicRanges’:</span>
#&gt; <span class='message'></span>
#&gt; <span class='message'> intersect, setdiff, union</span></div><div class='output co'>#&gt; <span class='message'>The following object is masked from ‘package:GenomeInfoDb’:</span>
#&gt; <span class='message'></span>
#&gt; <span class='message'> intersect</span></div><div class='output co'>#&gt; <span class='message'>The following objects are masked from ‘package:IRanges’:</span>
#&gt; <span class='message'></span>
#&gt; <span class='message'> collapse, desc, intersect, setdiff, slice, union</span></div><div class='output co'>#&gt; <span class='message'>The following objects are masked from ‘package:S4Vectors’:</span>
#&gt; <span class='message'></span>
#&gt; <span class='message'> first, intersect, rename, setdiff, setequal, union</span></div><div class='output co'>#&gt; <span class='message'>The following objects are masked from ‘package:BiocGenerics’:</span>
#&gt; <span class='message'></span>
#&gt; <span class='message'> combine, intersect, setdiff, union</span></div><div class='output co'>#&gt; <span class='message'>The following object is masked from ‘package:matrixStats’:</span>
#&gt; <span class='message'></span>
#&gt; <span class='message'> count</span></div><div class='output co'>#&gt; <span class='message'>The following objects are masked from ‘package:stats’:</span>
#&gt; <span class='message'></span>
#&gt; <span class='message'> filter, lag</span></div><div class='output co'>#&gt; <span class='message'>The following objects are masked from ‘package:base’:</span>
#&gt; <span class='message'></span>
#&gt; <span class='message'> intersect, setdiff, setequal, union</span></div><div class='input'><span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'>biotmleData</span><span class='op'>)</span>
<span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'><a href='https://github.com/ecpolley/SuperLearner'>SuperLearner</a></span><span class='op'>)</span>
</div><div class='output co'>#&gt; <span class='message'>Loading required package: nnls</span></div><div class='output co'>#&gt; <span class='message'>Loading required package: gam</span></div><div class='output co'>#&gt; <span class='message'>Loading required package: splines</span></div><div class='output co'>#&gt; <span class='message'>Loading required package: foreach</span></div><div class='output co'>#&gt; <span class='message'>Loaded gam 1.20</span></div><div class='output co'>#&gt; <span class='message'>Super Learner</span></div><div class='output co'>#&gt; <span class='message'>Version: 2.0-28</span></div><div class='output co'>#&gt; <span class='message'>Package created on 2021-05-04</span></div><div class='input'><span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'><a href='https://bioconductor.org/packages/SummarizedExperiment'>SummarizedExperiment</a></span><span class='op'>)</span>
<span class='fu'><a href='https://rdrr.io/r/utils/data.html'>data</a></span><span class='op'>(</span><span class='va'>illuminaData</span><span class='op'>)</span>
<span class='fu'><a href='https://rdrr.io/pkg/SummarizedExperiment/man/SummarizedExperiment-class.html'>colData</a></span><span class='op'>(</span><span class='va'>illuminaData</span><span class='op'>)</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/SummarizedExperiment/man/SummarizedExperiment-class.html'>colData</a></span><span class='op'>(</span><span class='va'>illuminaData</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span><span class='op'>(</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='op'>(</span>age <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/numeric.html'>as.numeric</a></span><span class='op'>(</span><span class='va'>age</span> <span class='op'>&gt;</span> <span class='fu'><a href='https://rdrr.io/r/stats/median.html'>median</a></span><span class='op'>(</span><span class='va'>age</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>DataFrame</span><span class='op'>(</span><span class='op'>)</span>
<span class='va'>benz_idx</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/which.html'>which</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/pkg/SummarizedExperiment/man/SummarizedExperiment-class.html'>colData</a></span><span class='op'>(</span><span class='va'>illuminaData</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>%in%</span> <span class='st'>"benzene"</span><span class='op'>)</span>
<span class='va'>biomarkerTMLEout</span> <span class='op'>&lt;-</span> <span class='fu'>biomarkertmle</span><span class='op'>(</span>
se <span class='op'>=</span> <span class='va'>illuminaData</span><span class='op'>[</span><span class='fl'>1</span><span class='op'>:</span><span class='fl'>2</span>, <span class='op'>]</span>,
varInt <span class='op'>=</span> <span class='va'>benz_idx</span>,
bppar_type <span class='op'>=</span> <span class='fu'>BiocParallel</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/BiocParallel/man/SerialParam-class.html'>SerialParam</a></span><span class='op'>(</span><span class='op'>)</span>,
g_lib <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SL.mean"</span>, <span class='st'>"SL.glm"</span><span class='op'>)</span>,
Q_lib <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SL.mean"</span>, <span class='st'>"SL.glm"</span><span class='op'>)</span>
<span class='op'>)</span>
</div><div class='output co'>#&gt;
|
| | 0%</div><div class='output co'>#&gt; <span class='message'>Loading required package: quadprog</span></div><div class='output co'>#&gt; <span class='message'>Loading required package: nloptr</span></div><div class='output co'>#&gt;
|
|=================================== | 50%
|
|======================================================================| 100%
#&gt; </div></pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
<nav id="toc" data-toggle="toc" class="sticky-top">
<h2 data-toc-skip>Contents</h2>
</nav>
</div>
</div>
<footer>
<div class="copyright">
<p>Developed by Nima Hejazi, Alan Hubbard, Mark van der Laan.</p>
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
</div>
</footer>
</div>
</body>
</html>