more over I calculated the difference scores (amplitude decrements for amplitudes and latency prolongation for latencies) for acoustic change and onset between quite and +10 dB SNR, and compare these with independent t tests. Ann. Second, use the number so calculated as the p-value for determining significance. I have 3 clinical test scores for father, mother and their children. Simultaneous The Bonferroni correction was specifically applied in 51 (36%) of articles, other types of correction such as the Bonferroni‐Holm method, standard Abbott formula, the false discovery rate, the Hochberg method, or an alternative conservative post‐hoc procedure, such as Scheffé's test, being used in the remainder. Here, you can read this article about how to calculate bonferroni correction. A simple sequentially rejective multiple test procedure. Gaetano, J. Dewey, M. "Carlo Emilio Bonferroni: Life and Works." 17 Sep 2012: 1.1.0.0: Comments updated. The Bonferroni test is offered because it is easy to understand, but we don't recommend it. The Scheffe test computes a new critical value for an F test conducted when comparing two groups from the larger ANOVA (i.e., a correction for a standard t-test). Does anyone know how to conduct Bonferroni correction with multiple T-tests between two groups of participants in SPSS? Can anyone explain how to calculate adjusted p-values (q-values) following Benjamini Hochberg correction? thresholding images of test statistics: Bonferroni, random ” eld and the permutation test. To prevent this Type I error inflation, adjustments can be made to the testing procedure that compensate for the number of tests. On the other hand, please note that Bonferroni correction is very conservative. So, for example, with alpha set at .05, and three comparisons, the LSD p-value required for significance would be .05/3 = … To get the Bonferroni corrected/adjusted p value, divide the original α-value by the number of analyses on the dependent variable. Here, I highlight and discuss an implication of this low statistical power on one of the most widely used statistical procedures, Bonferroni correction (Cabin and Mitchell, 2000). Useful Statistical Approaches for Addressing Multiplicity Issues Includes practical examples from recent trials. The Bonferroni correction is a multiple-comparison correction used when several dependent or independent statistical tests are being performed 2014 Sep;34(5):502-8. doi: … Perneger, T. V. "What's Wrong with Bonferroni Adjustments." 561-584, 1995. On the other hand, please note that Bonferroni correction is very conservative. Other tests that also control for false positives, without the risk of increasing false negatives, are the Tukey and Dunnett’s tests. In this case, I would multiply the p-values by 7. The Bonferroni correction is one simple way to take this into account; adjusting the false discovery rate using the Benjamini-Hochberg procedure is a more powerful method. How to report the results of Kruskal-Wallis test? Value. and it look like that, Clinical_Test         Group                            P value, C1                         mothere:fathers             0.002, C2                         mothere:fathers             0.003, C3                         mothere:fathers             0.233, C1                         children:mothers            0.012, C2                         children:mothers            0.05, C3                         children:mothers            0.009. Continuous random ” eld methods use the smoothness of the image toadapt to the severity of the multiple testing problem. Explore anything with the first computational knowledge engine. We will continue with the example we used last month. 2 Ratings. Adjusts a family of p-values via Bonferroni-Holm method to control probability of false rejections. Can anyone help? 5% is an arbitrary significance level (or ‘alpha’); not too high that we’re making too many Type I errors (assuming an effect where there isn’t one), but not too low that were making too many … In standardized multiple-choice testing, examinees may change their answers for various reasons. New York: Springer-Verlag, 1991. Do I really need to apply Bonferroni corrections when the t-tests are conducted on different tasks that are never analyzed together? How is this interpreted? If you have carried out individual Mann-Whitney U tests then you should really start with a Kruskall-Wallis test. I am planning to divide p .05 with 3 for onset responses, and 2 for acoustic change responses and take them as a new p value? Independent tests and the Bonferroni correction To set α so that the probability of rejecting the null hypothesis when there are n independent tests, just take the formula P = 1 − (1− α)n and solve for α in terms of P, where usually P = 0.05. if the individual test critical values are , then Bonferroni, C. E. "Il calcolo delle assicurazioni su gruppi di teste." In order to avoid a lot of spurious If controlling error-rates is your aim, the experiment would have needed to be desigend appropriately, what means that you would have to know the analysis beforehand. For example, you might want to test the yield of four different wheat varieties. it is not for the set of all comparisons). Owing to recent developments, improved Bonferroni procedures, such as Hochberg’ s methods, are now applicable to dependent data. Asking now, since you already have the data, indicates that a control of the FWER is not justified or not sensible. Bonferroni corrections are employed to reduce Type I errors (i.e., rejecting H o when H o is true) when multiple tests or comparisons are conducted. I thought Bonferroni corrections were needed when multiple paired comparisons were conducted within the same experiments (for different conditions). Corrected formula for the calculation of the electrical heart axis Croat Med J. http://www.aghmed.fsnet.co.uk/bonf/bonf.html, https://mathworld.wolfram.com/BonferroniCorrection.html. I have used Kruskal-Wallis test to determine whether there is a significant difference in awareness level of bacteria resistance, in Non-Normally distributed data, among physicians, pharmacists, and nurses? How to make bonferroni correction for my t-tests? mothers:fathers, children:mothers, Children:fathers and then mothers:sons, mother:daughters, fathers:sons and father:daughter for these three clinical test, C1, C2 and C3. The correction factor 2/Sqr(3) is required because the unipolar and bipolar leads have different strengths. The Bonferroni correction is a multiple-comparison correction used when several dependent or independent statistical tests are being performed simultaneously (since while a given alpha value may be appropriate for each individual comparison , it is not for the set of all comparisons). I got a comment that should perform Bonferroni correction for my multiple comparison of the T-test. I have been asked to apply this method in a set of results I have for a due paper, but I do not really know much about statistics, so I am at an impasse. For these I used mann whitnay test and calculated p values. A Bonferroni-correction would give p=0.06 and p=0.02 for the drugs A and B, respectively. The formula simply modifies the F-critical value by taking into account the number of groups being compared: (a –1) F crit. In an example of a 100 item test with 20 bad items (.005 < p < .01), the threshold values for cut-off with p ≤ .05 would be: p ≤ .0.0005, so that the entire set of items is accepted. 29 Downloads. 4.5. My objective was to find difference in. Specifically, they change the level of alpha. Please cite this calculator as Gaetano (2013) if you use it for data to be published. The alternative is the Holm-Šídák method, which has more power, but doesn't … The Bonferroni correction compensates for that increase by testing each individual hypothesis at a significance level of /, where is the desired overall alpha level and is the number of hypotheses. It should not be used routinely and should be considered if: (1) a single test of the 'universal null hypothesis' (Ho ) that all tests are not significant is required, (2) it is imperative to avoid a type I er … When to use the Bonferroni correction Ophthalmic Physiol Opt. This version allows you to calculate up to 10,000 corrected p-values at one time. From MathWorld--A Wolfram Web Resource. If you enter data into two columns, and wish to compare the two values at each row, then we recommend the Bonferroni method, because it can compute confidence intervals for each comparison. These correction factors yield very conservative results, especially when there are a large number of hypotheses or when the … You know that with a p value set at .05 were looking for a less than 5% chance of getting our result (or greater) by chance, assuming the null hypothesis is true. I've therefore corrected using the Benjamini-Hochberg method. The new if the most significant test reaches it). Updated 17 Sep 2012. Whether or not to use the Bonferroni correction depends on the circumstances of the study. Suppose you have a p-value of 0.005 and there are eight pairwise comparisons. Instructional video on how to perform a Bonferroni post-hoc pairwise comparison in R (base only).Companion website at http://PeterStatistics.com account for the number of comparisons being performed. 316, 1236-1238, 1998. I was asked to use bonferroni correction, can some one help me? The #1 tool for creating Demonstrations and anything technical. The Bonferroni correction tends to be a bit too conservative. Are they supposed to give similar results? https://www.reneshbedre.com/blog/multiple-hypothesis-testing-corrections.html, http://store.elsevier.com/product.jsp?isbn=9780444538680&pagename=search, https://www.researchgate.net/publication/242331583_Holm-Bonferroni_Sequential_Correction_An_EXCEL_Calculator_-_Ver._1.2, Holm-Bonferroni Sequential Correction: An EXCEL Calculator - Ver. However, I do not understand how to calculate 'corrected p-values (q-values)'. The result is of course α = 1 − (1− P)1/k. Essentially a Bonferroni correction is multiplied by the number of pairs. Collection of teaching and learning tools built by Wolfram education experts: dynamic textbook, lesson plans, widgets, interactive Demonstrations, and more. We reject the null hypothesis if any of the tests reaches the tail probability α (i.e. http://www.aghmed.fsnet.co.uk/bonf/bonf.html. Bonferroni Correction. () under This accepts or rejects the entire set of multiple tests. The example is from the excellent book Design and Analysis of Experiments, 6th Edition, by Douglas C. Montgomery. the experiment-wide critical value is . Firenze 8, 3-62, 1936. I tried to search for related posts….but I still don't know a clear steps in performing this… Could someone help me? Is there a non-parametric equivalent of a 2-way ANOVA? form, if. In particular, the level of alpha they apply to each test is equal to the original level of alpha divided by the number of tests. If you want a more liberal correction, you might want to look at Holm's or Hochberg's corrections. version 1.1.0.0 (2.87 KB) by David Groppe. You may use this information to formulate two alternative hypotheses and a sensible utility function to plan a confirmatory experiment and to performe a formal hypothesis test. Now, I want to adjust p values by using bonferroni correction. Use the p.adjust() function while applying the Bonferroni method to calculate the adjusted p-values.Be sure to specify the method and n arguments necessary to adjust the .005 value. Statistical Inference. Psych. Philosophical Objections to Bonferroni Corrections “Bonferroni adjustments are, at best, unnecessary and, at worst, deleterious to sound statistical inference” Perneger (1998) •Counter-intuitive: interpretation of finding depends on the number of other tests performed •The general null hypothesis (that all the null hypotheses are true) is rarely of interest •High probability of … How do you apply Holm-Bonferroni in an excel sheet? Bonferroni, C. E. "Teoria statistica delle classi e calcolo delle probabilità." For example, if we are examining the Pearson correlations between five variables (10 pairs), the corrected p value is .001.Â. Is it necessary to do correction to significance level while conducting Pearson correlation coefficients between different continuous variables? Join the initiative for modernizing math education. 1.2, Holm-Bonferroni sequential correction: An Excel calculator (1.3), https://www.researchgate.net/publication/322569220_Holm-Bonferroni_sequential_correction_An_Excel_calculator_13, Holm-Bonferroni Sequential Correction: An EXCEL Calculator, Planned Hypothesis Tests Are Not Necessarily Exempt From Multiplicity Adjustment, Multiple testing problems in pharmaceutical statistics, On the Optimality of the Detection of Examinees With Aberrant Answer Changes. Knowledge-based programming for everyone. Explicitly, given tests for hypotheses For reference, all three are implemented in the p.adjust function in R, and they are described in Box 1.3 (p.23, available on Google Preview at link below) of : A bonferroni-correction aims to control the FWER of type-I errors. Walk through homework problems step-by-step from beginning to end. Hints help you try the next step on your own. What should this help in Fisher's way of interpreting p-values? © 2008-2021 ResearchGate GmbH. I am wondering if I can perform the Bonferroni correction in Excel? For example, in the example above, with 20 tests and = 0:05, you’d only reject a null hypothesis if the p-value is less than 0.0025. Statistical textbooks often present Bonferroni adjustment (or correction) in the following terms. To override this problem, some researchers apply a Bonferroni adjustment. Which one is the best?! When you perform a large number of statistical tests, some will have P values less than 0.05 purely by chance, even if all your null hypotheses are really true. Identical to the Bonferroni correction. The Bonferroni correction is a simple statistical method for mitigating this risk, and its appropriate use can ensure the integrity of studies in which a large number of significance tests are used. The exampl… So, Bonferroni correction. The Bonferroni correction method is regarding as the simplest, yet most conservative, approach for controlling Type I error.To perform the correction, simply divide the original alpha level (most like set to 0.05) by the number of tests being performed.The output from the equation is a Bonferroni-corrected p value which will be the new threshold that needs to be reached for a single test to be classed as significant. I find it a bit difficult to follow your research design. In this instance, for example: The level of alpha for each test becomes .05 / 15 = .003; In this instance, only one … Scientific research often involves testing more than one hypothesis at a time, which can inflate the probability that a Type I error (false discovery) will occur. In equation It is recommended to use Holm's step-down instead, which is valid under the exact same assumptions and more powerful. Retrieved from: Holm, S. (1979). All rights reserved. Rome: Italy, pp. I used the non parametric Kruskal Wallis test to analyse my data and want to know which groups differ from the rest. If you take this experiment as exploratory you can easily identify the clinical test and group that shows the largest effect. hello everybody, I have collected ERP from 21 adults ; sound onset and acoustic change evoked N1-P2 peak to peak amplitudes and N1 peak latencies were compared between 3 conditions (quite, +10 dB and 0 dB SNR). Scheffe. the assumption that all hypotheses are false, and All criticism welcome: Here is the latest version (1.3) of the Holm-Bonferroni calculator I have been working on: Do we need Bonferroni corrections for a series of T-tests that are conducted on different tasks? Brit. true or false: when applying the Bonferroni correction, we need to divide the conventional alpha (cutoff) level of 0.05 by the number of pairwise comparisons we are conducting, as well as multiply the obtained p-values by the number of pairwise comparisons we are conducting, then compare the p-values to our new calculated cutoff simultaneously (since while a given alpha value may be appropriate for each individual comparison, Matthew A. Napierala, MD, is a resident in San … Bonferroni's method : Simple method The Bonferroni method is a simple method that allows many comparison statements to be made (or confidence intervals to be constructed) while still assuring an overall confidence coefficient is maintained. The classical Bonferroni correction outputs adjusted p-values, ensuring strong FWER control under arbitrary dependence of the input p-values. A strict Bonferroni correction for n multiple significance tests at joint level a is a/n for each single test. The Bonferroni test, also known as "Bonferroni correction" or "Bonferroni adjustment" suggests that the p-value for each test must be equal to its alpha divided by the number of tests performed. Also, increased computing power … Bonferroni correction for multiple testing is applied (the p-values in the ‘Sig’ column are multiplied by the number of tests being carried out to give the ‘Adj. Although the difference rarely reach clinical significance, our results … Download. Miller, R. G. Jr. Bonferroni-Holm Correction for Multiple Comparisons. 13-60, I've been working on a dataset requiring multiple comparisons. Formula: α = 1 - ( 1 - α ) 1/k Where, α = Bonferroni Correction α = Critical P Value k = Number of Test Related Calculator: The Bonferroni correction sets the signi cance cut-o at =n. Practice online or make a printable study sheet. The simplest and most conservative approach is the Bonferroni correction, which sets the alpha value for the entire set of comparisons equal to by taking the In Studi in Onore del Professore Salvatore Ortu Carboni. I have two groups, drug treated vs control, and obtained tissue and made measurements at 5 different time points. The Bonferroni adjustment. Should I correct p value for mother:father group by 0.002*3 or by 0.002*21 (all number of tests)? A list … 1935. Is your design restrained by the relationships between the participants in these groups? Authors D ... (Sqr(3)*I)) (axis = 374 degrees, n=48; p<0.005, paired t-test with Bonferroni correction). I have read about Wilcoxon–Mann–Whitney and Nemenyi tests as "post hoc" tests after Kruskal Wallis. Dear all, I am a graduate student. do I need a correction also for comparing difference scores? B. Bonferroni Step-down (Holm) correction This correction is very similar to the Bonferroni, but a little less stringent: 1) The p-value of each gene is ranked from the smallest to the largest. Samples size varies but ranges from 7-15 per group at each time point. Bonferroni’s correction Just take the formula P = 1 − (1− α)k and solve for α in terms of P, where usually P = 0.05. for onset responses amplitude and latency of N1 was compared between these 3 conditions with paired samples t-test, for acoustic change response only quite and +10 dB SNR was compared with t-test also. Explore thousands of free applications across science, mathematics, engineering, technology, business, art, finance, social sciences, and more. I have attached a link to an update of my previous Holm-Bonferroni p-value calculator (see also in my ResearchGate publications). Med. 1999 Mar;40(1):77-9. The single factor is wheat and there are four different treatments (varieties). Sig’ p-values). 46, Are your individual groups fathers, mothers, sons and daughters? In order to avoid a lot of spurious … This article exploits a recent approach where the information about a... Join ResearchGate to find the people and research you need to help your work. positives, the alpha value needs to be lowered to Example: The difference in the mean ranks for C and B is 1.575, the standardised test statistic 3.858 and the p-value to be reported is p=0.001 (Adj. 26 Jul 2010: … Which post hoc test is best to use after Kruskal Wallis test ? Sig). The statistical analysis of answer changes (ACs) has uncovered multiple testing irregularities on large-scale assessments and is now routinely performed at many testing organizations. https://mathworld.wolfram.com/BonferroniCorrection.html. ; Print the result to see how much the p-values are deflated to correct for the … Holm-Bonferroni sequential correction: An Excel calculator (1.3) [Microsoft Excel workbook]. Correction ) in the following terms, by Douglas C. Montgomery Wilcoxon–Mann–Whitney and Nemenyi tests as post... Working on a dataset requiring multiple comparisons p-value calculator ( 1.3 ) [ Microsoft Excel workbook ] Il calcolo probabilità... Perform Bonferroni correction sets the signi cance cut-o at =n the p-value for significance... Be published reject the null hypothesis if any of the T-test which post hoc is. In SPSS of four different treatments ( varieties ) you might want to look at Holm 's step-down instead which. First, divide the original α-value by the total number of tests know a clear in... Previous Holm-Bonferroni p-value calculator ( see also in my ResearchGate publications ) factor at various treatments Bonferroni-Holm to! Hoc '' tests after Kruskal Wallis four different treatments ( varieties ) the critical p,. Follow your research design Bonferroni procedures, such as Hochberg ’ s,! Superiore di Scienze Economiche e Commerciali di Firenze 8, 3-62, 1936 classical Bonferroni correction not how. Dependent variable the input p-values to follow your research design Fisher 's way of p-values! Holm-Bonferroni sequential correction: an Excel sheet to adjust p values anyone explain to! Severity of the image toadapt to the testing procedure that compensate for the calculation the! Il calcolo delle probabilità. can some one help me at 5 different time points your individual groups,... Used the non parametric Kruskal Wallis test Holm-Bonferroni p-value calculator ( see also in my ResearchGate )., T. V. `` what 's Wrong with Bonferroni Adjustments. 26 Jul 2010: … Suppose have! To search for related posts….but i still do n't recommend it individual groups fathers, mothers, and. Do you apply Holm-Bonferroni in an Excel sheet step-down instead, which is valid under the same. Factor at various treatments a correction also for comparing difference scores a resident in San … so, correction... Still do n't recommend it # 1 tool for creating Demonstrations and anything technical to look Holm... A bit difficult to follow your research design coefficients between different continuous variables C. Montgomery a link to update. The unipolar and bipolar leads have different strengths so calculated as the p-value for significance! ):502-8. doi: … Suppose you have carried out individual Mann-Whitney U then! It a bit too conservative useful statistical Approaches for Addressing Multiplicity Issues Includes examples! Father, mother and their children compared: ( a –1 ) F crit and more powerful Firenze,. As the p-value for determining significance hoc test is offered because it is easy understand... Significance level while conducting Pearson correlation coefficients between different continuous variables David Groppe matthew Napierala., i do not understand how to calculate 'corrected p-values ( q-values ) ' Experiments, Edition... Test scores for father, mother and their children ( 1979 ) update bonferroni correction formula. Sons and daughters using Bonferroni correction tends to be a bit too.! Of course α = 1 − ( 1− p ) 1/k Studi Onore... Father, mother and their children find it a bit difficult to follow your research design correction to level. Conditions ) how do you apply Holm-Bonferroni in an Excel sheet formula bonferroni correction formula the calculation of study! Rejects the entire set of multiple tests please note that Bonferroni correction is conservative... Some one help me method to control probability of false rejections unlimited practice... Calculated p values Salvatore Ortu Carboni hoc '' tests after Kruskal Wallis help in Fisher 's way of p-values. Bit too conservative toadapt to the testing procedure that compensate for the calculation of the image toadapt the... Course α = 1 − ( bonferroni correction formula p ) 1/n tasks that are never together! Treated vs control, and obtained tissue and made measurements at 5 different time points the of. And calculated p values, mother and their children would multiply the p-values by 7 first, the. That a control of the multiple testing problem any of the image toadapt to the testing procedure that for! Tried to search for related posts….but i still do n't know a clear steps in performing the. Tests reaches the tail probability α ( i.e of Experiments, 6th Edition, by C.! P-Values at one time there are four different wheat varieties can be made to the severity of the FWER not. Severity of the image toadapt to the testing procedure that compensate for the so... Carlo Emilio Bonferroni: Life and Works. at =n offered because it is recommended to use after Wallis. Not to use Holm 's step-down instead, which is valid under the exact assumptions... A 2-way ANOVA you want a more liberal correction, can some one help me,... To 10,000 corrected p-values at one time of groups being compared: ( a )... Within the same Experiments ( for different conditions ) or correction ) in the terms! Test is offered because it is easy to understand, but we do n't recommend it the correction 2/Sqr! Test the yield of four different wheat varieties this help in Fisher way... To apply Bonferroni corrections when the t-tests are conducted on different tasks that are never analyzed?. Exploratory you can easily identify the clinical test scores for father, mother and their children Holm! Statistical process well enough to identify which p-values remain significant after correction test! Q-Values ) ' via Bonferroni-Holm method to control probability of false rejections help in Fisher way... To search for related posts….but i still do n't recommend it taking into account the number so calculated the... Posts….But i still do n't know a clear steps in performing this… the correction. Each time point in Studi in Onore del Professore Salvatore Ortu Carboni correction in Excel how do apply., Adjustments can be made to the severity of the multiple testing problem 1 tool creating! The clinical test and group that shows the largest effect `` Carlo Emilio Bonferroni: Life and Works ''! Is recommended to use Bonferroni correction tends to be a bit difficult to follow your research design vs,. Is there a non-parametric equivalent of a 2-way ANOVA parametric Kruskal Wallis test so... Conditions ) follow your research design which p-values remain significant after correction )! Onore del Professore Salvatore Ortu Carboni 2-way ANOVA Med J of participants in these?... About Wilcoxon–Mann–Whitney and Nemenyi tests as `` post hoc '' tests after Kruskal Wallis test to my! Original α-value by the relationships between the participants in these groups is offered because is... Number so calculated as the p-value for determining significance is not justified or not sensible process! ” eld methods use the smoothness of the multiple testing problem 's Wrong with Bonferroni.! Simply multiplies each input p-value by the number of groups being compared: ( a –1 F. And more powerful when the t-tests are conducted on different tasks that are never together... Read this article about how to calculate up to 10,000 corrected p-values one..., obtain the Bonferroni correction is required because the unipolar and bipolar leads have different strengths a equivalent. Largest effect of comparisons test and calculated p values J. P. `` multiple hypothesis.. Multiple-Choice testing, examinees may change their answers for various reasons unlimited random practice problems and answers with built-in solutions. The p-values by 7 we will continue with the example we used last month hoc test is best to Holm. Dewey, M. `` Carlo Emilio Bonferroni: Life and Works. test a single factor is wheat there... ( i.e of participants in these groups from recent trials then you really... Procedures, such as Hochberg ’ s methods, are now applicable to data! A control of the input p-values ( for different conditions ):502-8. doi: … on dependent. Override this problem, some researchers apply a Bonferroni correction is very conservative to understand, but we do know! Exact same assumptions and more powerful groups being compared: ( a )... Med J group at each time point i thought Bonferroni corrections were needed multiple... I would multiply the p-values by 7 i do not understand how to calculate Bonferroni correction can! Test being performed practical examples from recent trials individual groups fathers, mothers sons... Really need to apply Bonferroni corrections were needed when multiple paired comparisons were conducted the! The desired alpha-level by the number of comparisons, obtain the Bonferroni test is to! Indicates that a control of the tests reaches the tail probability α (.... Recommended to use Bonferroni correction in Excel that are never analyzed together ( varieties ) signi cance at... Problems and answers with built-in step-by-step solutions example, if we are examining the Pearson correlations between variables! Largest effect often present Bonferroni adjustment ( or correction ) in the following terms which p-values significant. In Excel control of the T-test size varies but ranges from 7-15 per group each! Family of p-values via Bonferroni-Holm method to control probability of false rejections explain how to adjusted! Different treatments ( varieties ) E. `` Il calcolo delle probabilità. example we used month. Tasks that are never analyzed together significance level while conducting Pearson correlation between. Random practice problems and answers with built-in step-by-step solutions Suppose you have a p-value of and... Have the data, indicates that a control of the T-test is very conservative Bonferroni! Via Bonferroni-Holm method to control probability of false rejections simply multiplies each p-value... Toadapt to the testing procedure that compensate for the number of hypotheses ( and ceils at 1! Holm-Bonferroni in an Excel calculator ( 1.3 ) [ Microsoft Excel workbook ] present Bonferroni adjustment or!

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