Probable Inference, the Law of Succession, and Statistical Inference

By E. B. Wilson. 1927

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Citations in the corpus

Telling cause from effect in deterministic linear dynamical systems (2015, methodology): “Considering that the experiments are independent and based on the assumption that our method is successful with probability p where p has a binomial distribution, we calculated confidence intervals using Wilson’s score interval (Wilson, 1927) where α = 0.”
Logit Confidence Intervals and the Inverse Sinh Transformation (2001, background): “In response to a letter by Rindskopf (2000), Agresti and Coull (2000) observed that for an extensive series of possible nonextreme outcomes, the logit Wald con dence interval for the binomial proportion always contains the Wilson (1927) score interval.”
A modern introduction to probability and statistics (2026, methodology): “However, the method for large n described next, sometimes called “the Wilson method” (see [40]), yields confidence intervals with”
The Prevalence of Mental Disorders among the Homeless in Western Countries: Systematic Review and Meta-Regression Analysis (2008, methodology): “Confidence intervals (CIs) around these estimates were calculated using the Wilson method [34] since the asymptotic method produces intervals which can extend below zero [35].”
We Need to Talk about Standard Splits (2019, methodology): “We compute 95% Wilson (1927) score confidence intervals for accuracies, and use the two-sided mid-p variant (Fagerland et al., 2013) of McNemar’s test for sys-tem comparison.”
The cost of using exact confidence intervals for a binomial proportion (2013, methodology): “We will do so by comparing the exact interval to three of the approximate intervals described in Section 2.3: the Wilson score, Jeffreys and Agresti–Coull intervals.”
Positive predictive value of cardiovascular diagnoses in the Danish National Patient Registry: a validation study (2016, methodology): “Statistical analysis For each diagnosis, we computed the PPV with 95% CIs according to the Wilson score method.(11) The PPV was computed as the proportion of diagnoses retrieved from the DNPR that could be confirmed in the discharge summary or medical record.”
Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi (2012, methodology): “The Wilson score interval yielded 95% con ﬁ dence intervals for each PCI estimate (82).”
Self-Supervised Generation of Spatial Audio for 360 Video (2018, background): “Error bars represent Wilson score intervals [43] for a 95% confidence level.”
Measures of Location for Confidence Intervals for Proportions (2011, methodology): “The formulation of the Wilson (1927) score interval is similar to the Wald method, except that the variance imputed to the proportion is based on the hypothesised parameter value , not the empirical estimate p.”
BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection (2020, unknown): “We draw 1,580 articles using stratiﬁed sampling and extract the top 20 comments ranked in the order of Wilson score (Wilson, 1927) on the downvote for each article.”
Metaprop: a Stata command to perform meta-analysis of binomial data (2014, background): “Score confidence intervals The score confidence interval [16] has its coverage close to the nominal confidence level even with small sample sizes.”