Masayuki Henmi, John B. Copas, Shinto Eguchi, Confidence Intervals and P-Values for Meta-Analysis with Publication Bias, Biometrics, Vol. 63, No. 2 (Jun., 2007), pp ...

The P value — the calculated probability of observing such an extreme relative risk, assuming a null hypothesis of no underlying difference in risk — can be calculated to be 0.0001, or 0.01%.

We introduce a new confidence interval notion, called fuzzy confidence intervals, that is dual to and inherits the exactness and optimality of UMP and UMPU tests. We also introduce a new P-value ...

The P value — the calculated probability of observing such an extreme relative risk, assuming a null hypothesis of no underlying difference in risk — can be calculated to be 0.0001, or 0.01%.

In statistics, a confidence interval gives the percentage probability that an estimated range of possible values in fact includes the actual value being estimated. For example, a business might ...

Value at Risk (VaR) statistically measures the likelihood of a specific loss occurring. It is an industry-wide, commonly-used risk assessment and risk management technique. The confidence interval ...