<p>The upper figures show the results when the number of samples is equal to 1000 and the lower figures show the results when the number of samples equals 3,000. These four figures almost show the same patterns, but the simulation power is different.</p
<p>The simulations for a range of MAF differences () and the magnitude of SNP effect () under the pr...
<p>While the prior exhibits a close to normal distribution, the later shows a fat tail that is more ...
<p>Percent of variable normal σ simulations for which AIC<i>c</i> selected maximum likelihood (ML) e...
<p>The upper and lower figures show the results when the number of samples is equal to 1,000 and 3,0...
<p>Difference in arithmetic and geometric means for normal distributions (n = 100,000,000). Each new...
For simulation setting (3), shown are the RSSEs of the estimated joint probabilities to the true val...
<p>Simulation results: The number of true positives and false positives detected by CPBayes at diffe...
<p>The first to third columns denote the effect sizes of SNP1, SNP2 and interaction in pure samples ...
<p>The figure plots the mean (A) genotype error and (B) clone frequency error as a function of the...
<p>This shows the performance of the three different methods (MELD, t+TFCER, and t-test) using three...
<p>Simulation results at significance level with different methods for phenotypic data generated fr...
Scenario descriptions and parameter combinations are adapted directly from Ioannidis [1]. The remain...
<p>In the two sub-figures, the parameter ; <i>η</i> is assigned to values from 1 to 1000; is assign...
For simulation setting (1), shown are the RSSEs of the estimated joint probabilities to the true val...
<p>Simulation Results: Parameter estimates resulting from simulation for the model with and without ...
<p>The simulations for a range of MAF differences () and the magnitude of SNP effect () under the pr...
<p>While the prior exhibits a close to normal distribution, the later shows a fat tail that is more ...
<p>Percent of variable normal σ simulations for which AIC<i>c</i> selected maximum likelihood (ML) e...
<p>The upper and lower figures show the results when the number of samples is equal to 1,000 and 3,0...
<p>Difference in arithmetic and geometric means for normal distributions (n = 100,000,000). Each new...
For simulation setting (3), shown are the RSSEs of the estimated joint probabilities to the true val...
<p>Simulation results: The number of true positives and false positives detected by CPBayes at diffe...
<p>The first to third columns denote the effect sizes of SNP1, SNP2 and interaction in pure samples ...
<p>The figure plots the mean (A) genotype error and (B) clone frequency error as a function of the...
<p>This shows the performance of the three different methods (MELD, t+TFCER, and t-test) using three...
<p>Simulation results at significance level with different methods for phenotypic data generated fr...
Scenario descriptions and parameter combinations are adapted directly from Ioannidis [1]. The remain...
<p>In the two sub-figures, the parameter ; <i>η</i> is assigned to values from 1 to 1000; is assign...
For simulation setting (1), shown are the RSSEs of the estimated joint probabilities to the true val...
<p>Simulation Results: Parameter estimates resulting from simulation for the model with and without ...
<p>The simulations for a range of MAF differences () and the magnitude of SNP effect () under the pr...
<p>While the prior exhibits a close to normal distribution, the later shows a fat tail that is more ...
<p>Percent of variable normal σ simulations for which AIC<i>c</i> selected maximum likelihood (ML) e...
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