<p>As detailed in the methods section, a statistical difference was determined by using the likelihood ratio test to compare two transmission models. The first model assigns separate values of to the 1980s monkeypox data and the simulated data, while the second model assigns a single to both data sets. Both models assign a single value of to both data sets. Since the second model is nested in the first, statistical significance was determined by setting a 95% confidence threshold on the likelihood ratio test. Probability values that exceed 5% indicate an over-abundance of false positive detections of change in . Each result was based on 10,000 simulations.</p
International audienceWe consider the likelihood ratio test of a simple null hypothesis (with densit...
<p>The four panels (Fig 3a, Fig 3b, Fig 3c, Fig 3d) show the average power, number of false positive...
A new test of model misspecification is proposed, based on the ratio of in-sample and out-of-sample...
Differences in model results based on changes in the probability of infection in the model.</p
<p>Simulation results: The number of true positives and false positives detected by CPBayes at diffe...
A theory of testing under non-standard conditions is developed. By viewing the likelihood as a funct...
The objective of this paper is to analyze the finite sample performance of two variants of the likel...
The objective of this paper is to analyze the finite sample performance of two variants of the likel...
Detection probability estimates (“Estimated” in gray) of lesser prairie-chickens from an N-mixture m...
Error rates due to random chance determined via permutation test are shown in gray, while those from...
<p>(A) The probability of detecting local transmission at different reporting rates (<i>r</i>) for d...
The scan test statistic is the supremum of a set of test statistics and is often used to resolve mul...
is often used as a measure of model accuracy. The ∆AIC statistic is defined by the difference betwee...
The objective of this paper is to analyze the finite sample performance of two variants of the likel...
Recently, in the forensic biometric community, there is a growing interest to compute a metric calle...
International audienceWe consider the likelihood ratio test of a simple null hypothesis (with densit...
<p>The four panels (Fig 3a, Fig 3b, Fig 3c, Fig 3d) show the average power, number of false positive...
A new test of model misspecification is proposed, based on the ratio of in-sample and out-of-sample...
Differences in model results based on changes in the probability of infection in the model.</p
<p>Simulation results: The number of true positives and false positives detected by CPBayes at diffe...
A theory of testing under non-standard conditions is developed. By viewing the likelihood as a funct...
The objective of this paper is to analyze the finite sample performance of two variants of the likel...
The objective of this paper is to analyze the finite sample performance of two variants of the likel...
Detection probability estimates (“Estimated” in gray) of lesser prairie-chickens from an N-mixture m...
Error rates due to random chance determined via permutation test are shown in gray, while those from...
<p>(A) The probability of detecting local transmission at different reporting rates (<i>r</i>) for d...
The scan test statistic is the supremum of a set of test statistics and is often used to resolve mul...
is often used as a measure of model accuracy. The ∆AIC statistic is defined by the difference betwee...
The objective of this paper is to analyze the finite sample performance of two variants of the likel...
Recently, in the forensic biometric community, there is a growing interest to compute a metric calle...
International audienceWe consider the likelihood ratio test of a simple null hypothesis (with densit...
<p>The four panels (Fig 3a, Fig 3b, Fig 3c, Fig 3d) show the average power, number of false positive...
A new test of model misspecification is proposed, based on the ratio of in-sample and out-of-sample...