Mean and standard deviation of prior distributions used for CESD-SF parameters (with and without correcting for reference standard misclassification error) used in Bayesian latent class models.</p
In a Bayesian analysis the statistician must specify prior densities for the model parameters. If he...
<p>Posterior means with posterior standard deviation (SD) for model parameters.</p
This research is motivated by problems in biopharmaceutical research. Prior elicitation is defined a...
Mean and standard deviation (in parentheses) of the Bayesian posterior with four concentration prior...
Mean of the posterior probabilities of belonging to each latent class in the model for Δstd.msec.</p
<p>* p<0.01 ** p<0.05 *** p<0.10.</p><p>SDPD refers to standard deviation of parameter distributions...
We review the principal issues regarding the use of prior distributions in Bayesian statistic
Mean of the posterior probabilities of belonging to each latent class in the multivariate model.</p
<p>*Parameterized as mean and precision (1/variance, as in WinBUGS). For disease-level models, a <i>...
Mean of the posterior probabilities of belonging to each latent class in the model for Δmean.bpm.</p
The reference priors, initiated in Bernardo (1979) and further developed in Berger and Bernardo (199...
<p>Probability ranges and corresponding coefficients of the beta prior densities for the sensitiviti...
Average posterior probability of the 5 latent class, logarithmic model specification.</p
Bayesian approaches for estimating multilevel latent variable models can be beneficial in small samp...
<p>Prior distributions are given for all parameters, along with source if the prior incorporates a s...
In a Bayesian analysis the statistician must specify prior densities for the model parameters. If he...
<p>Posterior means with posterior standard deviation (SD) for model parameters.</p
This research is motivated by problems in biopharmaceutical research. Prior elicitation is defined a...
Mean and standard deviation (in parentheses) of the Bayesian posterior with four concentration prior...
Mean of the posterior probabilities of belonging to each latent class in the model for Δstd.msec.</p
<p>* p<0.01 ** p<0.05 *** p<0.10.</p><p>SDPD refers to standard deviation of parameter distributions...
We review the principal issues regarding the use of prior distributions in Bayesian statistic
Mean of the posterior probabilities of belonging to each latent class in the multivariate model.</p
<p>*Parameterized as mean and precision (1/variance, as in WinBUGS). For disease-level models, a <i>...
Mean of the posterior probabilities of belonging to each latent class in the model for Δmean.bpm.</p
The reference priors, initiated in Bernardo (1979) and further developed in Berger and Bernardo (199...
<p>Probability ranges and corresponding coefficients of the beta prior densities for the sensitiviti...
Average posterior probability of the 5 latent class, logarithmic model specification.</p
Bayesian approaches for estimating multilevel latent variable models can be beneficial in small samp...
<p>Prior distributions are given for all parameters, along with source if the prior incorporates a s...
In a Bayesian analysis the statistician must specify prior densities for the model parameters. If he...
<p>Posterior means with posterior standard deviation (SD) for model parameters.</p
This research is motivated by problems in biopharmaceutical research. Prior elicitation is defined a...