Differential analysis of count data – the DESeq2 package Michael Love
... Note that the results function automatically performs independent filtering based on the mean of counts for each gene, optimizing the number of genes which will have an adjusted p value below a given threshold. This will be discussed further in Section 3.8. If a multi-factor design is used, or if th ...
... Note that the results function automatically performs independent filtering based on the mean of counts for each gene, optimizing the number of genes which will have an adjusted p value below a given threshold. This will be discussed further in Section 3.8. If a multi-factor design is used, or if th ...
Interval estimators for the population mean for skewed distributions
... second smallest label. This second ball and another with the same value are returned to the urn. This process is continued until all N − n unobserved units are assigned a value. Once they have all been assigned a value we have observed one realization from the ‘Polya posterior’. Hence by simple Poly ...
... second smallest label. This second ball and another with the same value are returned to the urn. This process is continued until all N − n unobserved units are assigned a value. Once they have all been assigned a value we have observed one realization from the ‘Polya posterior’. Hence by simple Poly ...
The NPAR1WAY Procedure
... classified into two samples, tests are based on simple linear rank statistics. When the data are classified into more than two samples, tests are based on one-way ANOVA statistics. Both asymptotic and exact p-values are available for these tests. PROC NPAR1WAY also calculates the following empirical ...
... classified into two samples, tests are based on simple linear rank statistics. When the data are classified into more than two samples, tests are based on one-way ANOVA statistics. Both asymptotic and exact p-values are available for these tests. PROC NPAR1WAY also calculates the following empirical ...
Chapter 7
... large samples (n 30). However, time or cost limitations may often restrict the number of sample observations that may be obtained, so that the estimation procedures of Section 7.2 would not be applicable. With small samples, the following two problems arise: 1. Since the Central Limit Theorem appl ...
... large samples (n 30). However, time or cost limitations may often restrict the number of sample observations that may be obtained, so that the estimation procedures of Section 7.2 would not be applicable. With small samples, the following two problems arise: 1. Since the Central Limit Theorem appl ...
Analysis of Variance - Department of Statistics
... To test the previous hypothesis, we construct a test statistic that is a ratio of two different and independent estimates of an assumed common variance among populations, σ 2 . The numerator estimate is based on sample means and variation among groups. The denominator estimate is based on variation ...
... To test the previous hypothesis, we construct a test statistic that is a ratio of two different and independent estimates of an assumed common variance among populations, σ 2 . The numerator estimate is based on sample means and variation among groups. The denominator estimate is based on variation ...
Document
... 2. Use p-values to assess statistical significance 3. Test a hypothesis about an observed mean compared to some standard 4. Know the difference between Type I and Type II errors 5. Know when a univariate χ2 test is appropriate and how to conduct one ...
... 2. Use p-values to assess statistical significance 3. Test a hypothesis about an observed mean compared to some standard 4. Know the difference between Type I and Type II errors 5. Know when a univariate χ2 test is appropriate and how to conduct one ...
Chapter 8
... p ≠ 0.5 so the critical region is in two tails. Using Figure 8-5 to find the P-value for a two-tailed test, we see that the P-value is twice the area to the right of the test statistic z = 3.21. We refer to Table A-2 (or use technology) to find that the area to the right of z = 3.21 is 0.0007. In th ...
... p ≠ 0.5 so the critical region is in two tails. Using Figure 8-5 to find the P-value for a two-tailed test, we see that the P-value is twice the area to the right of the test statistic z = 3.21. We refer to Table A-2 (or use technology) to find that the area to the right of z = 3.21 is 0.0007. In th ...
PPT - Cambridge University Press
... • If the form of the autocorrelation is known, we could use a GLS procedure – i.e. an approach that allows for autocorrelated residuals e.g., Cochrane-Orcutt. • But such procedures that “correct” for autocorrelation require assumptions about the form of the autocorrelation. • If these assumptions ar ...
... • If the form of the autocorrelation is known, we could use a GLS procedure – i.e. an approach that allows for autocorrelated residuals e.g., Cochrane-Orcutt. • But such procedures that “correct” for autocorrelation require assumptions about the form of the autocorrelation. • If these assumptions ar ...
