Index of papers in PLOS Comp. Biol. that mention

**confidence intervals**

Application to real outbreaks | Our estimate of S for monkeypox exhibited considerable uncertainty: the 95% confidence interval spanned 0.02—1. |

Application to real outbreaks | We found that the 95% confidence interval of the joint |

Application to real outbreaks | Dark line indicates 80% confidence interval (CI); light line is 95% Cl. |

Inference | Confidence intervals were calculated using profile likelihoods: for each value of R0, we found the maximum likelihood across all possible values of S; the 95% confidence interval was equivalent to the region of parameter space that was within 1.92 log-likelihood points of the maximum-likelihood estimate for both parameters [42]. |

confidence intervals is mentioned in 5 sentences in this paper.

Topics mentioned in this paper:

- age group (39)
- R0 (30)
- maximum likelihood (14)

Supporting Information | The plots display the concordance indices for signalling entropy and a microarray based approximation of OncotypeDX in each data set alongside 95% confidence intervals . |

Supporting Information | The vertical line denotes concordance index = 0.5, data sets Where the confidence interval for the concordance index crosses this line did not reach significance. |

Supporting Information | score in each data set alongside 95% confidence intervals . |

confidence intervals is mentioned in 5 sentences in this paper.

Topics mentioned in this paper:

- breast cancer (32)
- adenocarcinoma (20)
- gene expression (19)

Ordinary differential equation model selection | The prediction profiles were translated into confidence intervals along the trajectory, giving a measure of the accuracy of the prediction of the PI3K dynamic for both models. |

Ordinary differential equation model selection | As shown in Fig 5D, model 4_8_12 outperforms the accuracy of the complete model by having an approximately 10-fold smaller confidence interval . |

Ordinary differential equation model selection | This indicates that prediction of the complete model is not only uncertain, but also incorrect as the confidence interval of the complete model does not contain the well-defined trajectory of model 4_8_12. |

Supporting Information | The colored area surrounding the model trajectory represents the confidence interval delimited by the dashed line. |

confidence intervals is mentioned in 4 sentences in this paper.

Topics mentioned in this paper:

- phosphorylation (52)
- signaling pathways (32)
- MAPK (29)

Results/Discussion | In the following we refer to these values whenever referring to the relative risks of a diagnosis with a 95% confidence interval (CI). |

Supporting Information | Comorbidity data for DMl patients, the relative risks RRI, the confidence intervals for RRI, if applicable the p-Value for the co-occurrence analysis, and the sex ratio for each diagnosis and age group. |

Supporting Information | Comorbidity data for DM2 patients, the relative risks RRZ, the confidence intervals for RRZ, if applicable the p-Value for the co-occurrence analysis, and the sex ratio for each diagnosis and age group. |

confidence intervals is mentioned in 3 sentences in this paper.

Topics mentioned in this paper:

- age group (10)
- p-value (7)
- discovery rate (5)

Days Within Lifetime | Plotted is median performance per day (i 95% bootstrapped confidence intervals of the median) measured across 100 organisms (the highest-performing organism from each experiment per treatment) tested in 80 new environments (lifetimes) |

Modular P&CC Networks Learn More and Forget Less | Bars show median performance, whiskers show the 95% bootstrapped confidence interval of the median. |

Statistics | 95% bootstrapped confidence intervals of the median are calculated by re-sampling the data 5,000 times. |

confidence intervals is mentioned in 3 sentences in this paper.

Topics mentioned in this paper:

- neural networks (38)
- Hebbian (8)
- learning algorithms (8)

Case 1: all cells recorded | 6, along with bootstrap confidence intervals derived from 14 resamplings of our original data. |

Case 1: all cells recorded | Naturally, the width of the confidence intervals in Fig. |

Correcting for the finite amounts of data | These resamplings were used to derive some of the correction terms for V, and also to derive confidence intervals on our final estimators, as shown in Fig. |

confidence intervals is mentioned in 3 sentences in this paper.

Topics mentioned in this paper:

- spike trains (12)
- experimental data (10)
- decision-making (8)

Interface Identification and Clustering | We defined WC 2 exp(aC), used noninformative normal priors (with zero mean and large standard deviation) for the parameters ac, and employed Gibbs sampling to obtain the posterior distributions of pC, for which we report the average as well as (2.5%,97.5%) confidence intervals . |

Interface Identification and Clustering | While best estimates of the probabilities pC are well approximated by the pooled fractions, the larger confidence intervals obtained by Bayesian inference reflect the variations in the different trajectories. |

Preferred Homo-dimer and Hetero-dimer Interfaces of ORs | However, it is noted that the calculated confidence intervals for frequencies of the specific interfaces are quite broad and overlapping, and therefore the estimated differences between the three OR subtypes may not be as relevant as they appear to be. |

confidence intervals is mentioned in 3 sentences in this paper.

Topics mentioned in this paper:

- crystal structures (15)
- RMSD (12)
- crystal structure (10)