Resampling-Based Multiple Testing: Examples and Methods for p-Value AdjustmentJohn Wiley & Sons, 12.01.1993 - 360 Seiten Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power. |
Inhalt
Basic Concepts | 32 |
Univariate Analysis | 76 |
Multivariate Analysis | 112 |
Binary Data Applications | 146 |
Further Topics | 184 |
Practical Applications | 217 |
Munchausens Statistical Grid | 275 |
The MULTTEST Procedure | 284 |
Using Software for the Analysis | 303 |
List of Algorithms | 323 |
Häufige Begriffe und Wortgruppen
adjusted p-values Algorithm ANOVA applications approximately asymptotically binary data binomial Bonferroni bootstrap adjustments bootstrap resampling carcinogenicity Chapter Cochran-Armitage complete null hypothesis computed confidence intervals considered covariance data sets denote Dose effects error estimate example experimental free step-down given heteroscedastic homoscedastic homoscedastic normal incorporating independent lower-tailed matrix mean minimum p-value multiple comparisons multiple testing multiplicity adjustment multiplicity-adjusted multivariate normal multivariate normal distribution NBOOT Needleman nonnormal oat bran observed P₁ pairwise comparisons parameters particular performed permutation distribution Pr(min probability PROC MULTTEST procedure random variables raw p-values regression rejected replacement sample rerandomization resampled data sets resampling method resampling-based adjustments residuals sample sizes scores Section Šidák adjustments simulation single-step adjusted statistically significant step-down adjustments subset pivotality t-statistics Table test statistics Thiouracil Thyroxin treatment groups trend tumor Type I errors unadjusted univariate upper-tailed values variance vectors weight Westfall Y₁ zero