sample_negative_binomial(k=None, p=None, shape=_Null, dtype=_Null, out=None, name=None, **kwargs) 参数: k:(NDArray) - 不成功实验的限制。 shape:(Shape(tuple), optional, default=[]) - 要从每个随机分布中采样的形状。 dtype:({'None
case, the analysed sample size based on Method 2 was not smaller than the sample size based on Method 1.Conclusion: Two methods for estimating the statistical power using negative binomial regression with distinct shape parameters are proposed and simulations show that they hadsatistifactory ...
F-tests follow straight-forwardly from the previous error decomposition, Eq. (9) (Appendix G). Figure 7m shows, in particular, results of F-tests for effect variance in units from the same populations in cases (a-d) (non-stratified data). It shows that F-tests lead to false-negative ...
For the binomial comparative Example 1.1, the p-value based on the C+M approach is 0.023, which leads to the same conclusion as others. The C+M p-value may be computed from the R package, Exact. 1.1.5 Unconditional Approach Based on Estimation and Maximization The exact unconditional M ...
Lastly, with the fold change of both batch effect and condition effect combined with the parameters estimated in Step 1, the simulated single-cell data is generated from the negative binomial distribution using strategies implemented in simu_new() of scDesign3. For each value of logFC, we simu...
In fact, false-negative results are always a concern, even for individual testing. Research has shown that the probability of a false-negative result in an infected person decreases from 100% on day 1 to 67% on day 4 after exposure [29]. On the day of symptom onset, typically 4 days ...
The inclusion of input control samples in the test, rather than simply using it as a background, makes a major contribution to the per- formance improvement, and also makes QNB substan- tially different from all other count-based (negative- binomial distribution-based) approaches such as DR...
Purely Sequential Bounded-Risk Point Estimation of the Negative Binomial Means Under Various Loss Functions: Part II - Multi-Sample Problems, Submitted for publication.Mukhopadhyay, N. and Bapat, S. R. (2017a). Purely Sequential Bounded-Risk Point Estimation of the Negative Binomial Mean Under ...
Non-Inferiority Tests for Vaccine Efficacy using the Ratio of Two Negative Binomial Rates - Superiority by a Margin Tests for Vaccine Efficacy using the Hazard Ratio (Cox's Proportional Hazards Model) Non-Inferiority Tests for Vaccine Efficacy using the Hazard Ratio (Cox's Proportional Hazards Model...
A few negative binomial model-based methods have been developed to estimate sample size based on the parameters of a single gene. However, thousands of genes are quantified and tested for differential expression simultaneously in RNA-Seq experiments. Thus, additional issues should be carefully ...