Multiple significance tests: the Bonferroni method

By J. Bland, D. G. Altman. 1995

Citations in the corpus

• Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift (2018, neutral): “As we cannot make strong assumptions about the (in)dependence among the tests, we rely on a conservative aggregation method, notably the Bonferroni correction [4], which rejects the null hypothesis if the minimum p-value among all tests is less than α/K (where α is the significance level of the test”
• Predicting human gaze beyond pixels. (2014, unknown): “05 / 12 ( Bonferroni correction for 12 comparisons in total ; Bland & Altman , 1995 ) .”
• The effect of childhood bereavement on secondary school performance (2004, unknown): “Overall significance levels have been set according to Bonferroni’s method (Bland & Altman, 1995).”
• Biostatistics 102: quantitative data--parametric & non-parametric tests. (2003, unknown): “Multiple comparisons Dependent variable: systolic BP Bonferroni 95% Confidence Interval (1) GROUP (J) GROUP Mean Difference (I-J) Std. Error Sig.”
• SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax (2015, unknown): “Unlike a Bonferroni procedure—see e.g. [14]—where the threshold for significance is fixed in advance, a very appealing feature of the BHq procedure is that the threshold is adaptive as it depends upon the data y .”
• An introduction to the Rasch measurement model: an example using the Hospital Anxiety and Depression Scale (HADS). (2007, unknown): “To take account of multiple testing Bonferroni corrections are applied to adjust the chi squared p value (Bland & Altman, 1995).”
• A general introduction to adjustment for multiple comparisons. (2017, unknown): “Bonferroni adjustment is one of the most commonly used approaches for multiple comparisons (5).”
• Psychometric Properties of the PsychoSomatic Problems Scale: A Rasch Analysis on Adolescent Data (2008, unknown): “In the DIF-analysis based on ANOVA the Bonferroni adjustment ( Bland and Altman 1995 ) of significance values was applied for a Type I error level of 0.05.”
• RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: a cohort analysis (2006, unknown): “Comparisons across multiple groups were performed using the F test, with Bonferroni correction for multiple comparisons [17].”
• Molecular Evolution of Zika Virus during Its Emergence in the 20th Century (2014, unknown): “01 that were confirmed by four or more methods were considered, using the Bonferroni correction to prevent false positive results [39], as implemented in the RDP program [31].”
• Estimating psychological networks and their accuracy: A tutorial paper (2016, unknown): “A common correction is the ‘Bonferroni correction’ (Bland and Altman, 1995), in which α is divided by the number of tests.”
• The effects of license plate-based driving restrictions on air quality: Theory and empirical evidence (2017, unknown): “Since we analyze the effects of the driving restrictions on 7 different pollutants, we apply the Bonferroni correction to adjust for multiple hypothesis testing (Bland and Altman, 1995; Napierala, 2012).”
• Mutation incidence and coincidence in non small-cell lung cancer: meta-analyses by ethnicity and histology (mutMap) (2013, unknown): “correction to account for multiple testing [15]; as 139 statistical tests were”