<p><i>p0</i>: probability of a 1-sided 1-dilution error if true AT level is = 0.</p><p><i>p1</i>: probability of a 1-sided 1-dilution error if true AT level is >0.</p><p><i>ε</i>: probability that measurement goes wrong and that observed AT level is Uniformly drawn in (0,…,K).</p><p>Eighty datasets are simulated with known parameters (see <a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1003061#s4" target="_blank">Methods</a>). The table gives the simulation value of parameters and the mean (standard deviation) of estimates.</p
*<p><i>t<sub>i</sub></i> represents measured value of PPV, while <i>x<sub>i</sub></i> denotes predic...
The problem of using information available from one variable X to make inferenceabout another Y is c...
A common set of statistical metrics has been used to summarize the performance of models or measurem...
<p>(A) Percent bias, (B) percent relative error, and (C) average <i>k</i> estimate. Early, mid, late...
A mixture measurement error model built upon skew normal distributions and normal distributions is d...
Risk prediction models, developed to estimate the probability of an individual developing a particul...
A mixture measurement error model built upon skew normal distributions and normal distributions is d...
No exact resolution can be assigned to technical parametric measurements owing to their function pri...
<p>The figure shows the result of two hundred independent parameter estimation runs for one hundred ...
Measurement error is a frequent issue in many research areas. For instance, in health research it is...
<p>Measurement errors of the three models and comparison between the three models, for each measurem...
In performing a measurement, we encounter errors or biases from a number of sources. Such sources in...
<p>(a) MLE including binning (<i>multinomial MLE</i>) and (b) MLE accounting for measurement errors ...
<p>* Multiple Testing Correction: performed via Benjamini-Yekutieli procedure with a 5% threshold.</...
<p><b>A</b>) We represent accuracy as the frequency with which the correct simulated transmission ev...
*<p><i>t<sub>i</sub></i> represents measured value of PPV, while <i>x<sub>i</sub></i> denotes predic...
The problem of using information available from one variable X to make inferenceabout another Y is c...
A common set of statistical metrics has been used to summarize the performance of models or measurem...
<p>(A) Percent bias, (B) percent relative error, and (C) average <i>k</i> estimate. Early, mid, late...
A mixture measurement error model built upon skew normal distributions and normal distributions is d...
Risk prediction models, developed to estimate the probability of an individual developing a particul...
A mixture measurement error model built upon skew normal distributions and normal distributions is d...
No exact resolution can be assigned to technical parametric measurements owing to their function pri...
<p>The figure shows the result of two hundred independent parameter estimation runs for one hundred ...
Measurement error is a frequent issue in many research areas. For instance, in health research it is...
<p>Measurement errors of the three models and comparison between the three models, for each measurem...
In performing a measurement, we encounter errors or biases from a number of sources. Such sources in...
<p>(a) MLE including binning (<i>multinomial MLE</i>) and (b) MLE accounting for measurement errors ...
<p>* Multiple Testing Correction: performed via Benjamini-Yekutieli procedure with a 5% threshold.</...
<p><b>A</b>) We represent accuracy as the frequency with which the correct simulated transmission ev...
*<p><i>t<sub>i</sub></i> represents measured value of PPV, while <i>x<sub>i</sub></i> denotes predic...
The problem of using information available from one variable X to make inferenceabout another Y is c...
A common set of statistical metrics has been used to summarize the performance of models or measurem...