1) 严格的 bonferroni,就是p值乘以检验的总数。 The adjustment methods include the Bonferroni correction ("bonferroni") in which the p-values are multiplied by the number of comparisons. 2) 略保守的矫正方法包括: "holm", "hochber
n:number of comparisons, must be at least length(p); only set this (to non-default) when you know what you are doing! Details The adjustment methods include the Bonferroni correction ("bonferroni") in which the p-values are multiplied by the number of comparisons. Less conservative correcti...
The adjustment methods include the Bonferroni correction ("bonferroni") in which the p-values are multiplied by the number of comparisons. Less conservative corrections are also included by Holm (1979) ("holm"), Hochberg (1988) ("hochberg"), Hommel (1988) ("hommel"), Benjamini & Hochberg (...
Adjust P-values for Multiple Comparisons Description Given a set of p-values, returns p-values adjusted using one of several methods.Usage p.adjust(p, method = p.adjust.methods, n = length(p))Arguments p: numeric vector of p-values (possibly with NAs). Any other R object is coerced by...
Pairwise comparison using Dunn’s test, with correction for multiple comparisons. Full size image Group-level approach for disease staging Discrimination between A-T- and A+ stages When CU and CI participants were combined, plasma p217+tau alone discriminated between A-T- and all stages combined...
There exist techniques to correct for multiple comparisons. For example, the Bonferroni correction method says that if you makenncomparisons in the trial, your criterion for significance should bep<0.05/np<0.05/n. This lowers the chances of a false positive to what you’d see from making only...
Following model-fitting with estimated marginal means (R package – emmeans) by Tukey P-value correction for multiple comparisons, all contrasts (differences) between specific categories were evaluated. Due to the limited sample size and potential overfitting and multicollinearity, no multivariable ...
Commenges, “Correction of the P-value after multiple coding of an explanatory variable in logistic regression,” Statistic in Medicine vol. 20 pp. 2815–2826, 2001.Liquet B, Commenges D: Correction of the P-value after multiple coding of an explanatory variable in logistic regression. Stat ...
). 我刚才强调的是single test, 在multiple test中, 通常不⽤p-value, ⽽采⽤更加严格的q-value. 与p-value 不同, q-value 控制的是FDR (false discovery rate).3)举个例⼦.假如有⼀种诊断艾滋病的试剂, 试验验证其准确性为99%(每100次诊断就有⼀次false positive). 对于⼀个被检测的⼈(...
P values were determined by empirical Bayesian statistical methods (two-tailed t test adjusted for multiple comparisons using Benjamini–Hochberg’s correction method) using the LIMMA R package; for parameters, individual P values and q values, see Supplementary Dataset 1. c Left panel: Scatter ...