The introduction of a new clinical protocol (Basiliximab induction with calcineurin-sparing protocols) for a group of kidney transplant recipients receiving organs from marginal donors was validated with a Markov simulation model, demonstrating the usefulness of combining simulation with Bayesian estimation methods for analysis of cost-effectiveness data collected alongside a clinical trial.
When performing sample size estimation for ROC analysis one hypotheses that estimated AUC differs significantly (at level.05) from AUC of 0.5 (ie. "better than coin flip").
Unlike Maximum Likelihood (ML) estimation for factor analysis of continuous scores, our use of Muthén's categorical data factor analysis methodology provides asymptotically unbiased, consistent and efficient parameter estimates as well as a correct chi-square test of fit with dichotomous or ordinal observed variables.
Unlike normal-theory maximum likelihood (ML) estimation for factor analysis of continuous scores, our use of Muthén's categorical data factor analysis methodology provides asymptotically unbiased, consistent and efficient parameter estimates, as well as a correct chi-square test of fit with dichotomous or ordinal observed variables [ 26].
A Seff value of ≥1% was required to ensure reliable parameter estimation for ROI analysis and a Seff of 3 6% was required for pixel-by-pixel analysis.
In this work we present results of a detailed Bayesian parameter estimation for an analysis of ordinary differential equation models.
The authors adopt MMSE channel estimation for the analysis of pilot contamination and the achievable rates in a massive MIMO system suffering from such problem.
With the results from distribution and k-mer analyses, a more accurate coverage estimation for quantitative analysis such as ChIP-seq or RNA-seq can be achieved.
Specifically, single-trials of day 1 were modeled as separate regressors, with remaining regressors appended identically to our first level estimation for univariate analysis.
To this end, each schema retrieval trial was modeled as a separate regressor (Mumford et al., 2012) with remaining regressors appended identically to our first level estimation for univariate analysis (see above).
The fatty acid estimation procedure followed for analysis was as reported in series of our earlier studies [7], [27].
