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Simultaneous Inference in General Parametric Models
- T. Hothorn, F. Bretz, P. Westfall
- MathematicsBiometrical journal. Biometrische Zeitschrift
- 1 June 2008
This paper describes simultaneous inference procedures in general parametric models, where the experimental questions are specified through a linear combination of elemental model parameters, and extends the canonical theory of multiple comparison procedures in ANOVA models to linear regression problems, generalizedlinear models, linear mixed effects models, the Cox model, robust linear models, etc.
Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment
Resampling-Based Adjustments: Basic Concepts. Continuous Data Applications: Univariate Analysis. Continuous Data Applications: Multivariate Analysis. Binary Data Applications. Further Topics.…
Truncated product method for combining P‐values
A new procedure to take the product of only those P‐values less than some specified cut‐off value and to evaluate the probability of such a product, or a smaller value, under the overall hypothesis that all L hypotheses are true is presented.
Multiple Comparisons Using R
Introduction General Concepts Error rates and general concepts Construction methods Methods based on Bonferroni's inequality Methods based on Simes' inequality Multiple Comparisons in Parametric…
Resampling-Based Multiple Testing.
Testing Association of Statistically Inferred Haplotypes with Discrete and Continuous Traits in Samples of Unrelated Individuals
Analysis of real data comprised of a dense map of single nucleotide polymorphisms spaced along a 12-cM chromosomal region allows us to confirm the utility of the haplotype approach as well as the validity and usefulness of the proposed statistical technique.
Multiple comparisons and multiple tests using SAS
Bonferroni Joint Confidence Intervals The confidence coefficients for individual parameters are adjusted to the higher 1 \( \alpha \) so that the confidence coefficient for the collection of…
Optimally weighted, fixed sequence and gatekeeper multiple testing procedures
Multiple Testing of General Contrasts Using Logical Constraints and Correlations
- P. Westfall
- Computer Science
- 1 March 1997
Abstract Use of logical constraints among hypotheses and correlations among test statistics can greatly improve the power of step-down tests. An algorithm for uncovering these logically constrained…