Simultaneous and selective inference: Current successes and future challenges
From MaRDI portal
Publication:3076073
DOI10.1002/bimj.200900299zbMath1208.62111OpenAlexW1993889364WikidataQ28300796 ScholiaQ28300796MaRDI QIDQ3076073
Publication date: 17 February 2011
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.200900299
familywise error ratefunctional magnetic resonance imagingfalse discovery ratesmultiple comparisons proceduresaggregated safety analysis
Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)
Related Items (21)
Multiple confidence intervals for selected parameters adjusted for the false coverage rate in monotone dose–response microarray experiments ⋮ A new user specific multiple testing method for business applications: the SiMaFlex procedure ⋮ MAP and Bayes tests in sparse vectors detection ⋮ Post-selection inference of generalized linear models based on the lasso and the elastic net ⋮ Closed Testing with Globaltest, with Application in Metabolomics ⋮ Mixed-effect models with trees ⋮ Overparameterized maximum likelihood tests for detection of sparse vectors ⋮ An evolutionary estimation procedure for generalized semilinear regression trees ⋮ Post-selection inference via algorithmic stability ⋮ Profile likelihood-based confidence intervals and regions for structural equation models ⋮ Automated selection of \(r\) for the \(r\) largest order statistics approach with adjustment for sequential testing ⋮ F-distribution calibrated empirical likelihood ratio tests for multiple hypothesis testing ⋮ Testing for shielding of special nuclear weapon materials ⋮ Discovering the False Discovery Rate ⋮ Binary classification with pFDR‐pFNR losses ⋮ Large‐scale signal detection: A unified perspective ⋮ Automated threshold selection for extreme value analysis via ordered goodness-of-fit tests with adjustment for false discovery rate ⋮ Only closed testing procedures are admissible for controlling false discovery proportions ⋮ A hierarchical Bayesian approach to multiple testing in disease mapping ⋮ Dynamic linear seasonal models applied to extreme temperature data: a Bayesian approach using the r-larger order statistics distribution ⋮ Multiple Testing When Many p-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions
Uses Software
Cites Work
- Rejoinder: ``Microarrays, empirical Bayes and the two-groups model
- On a generalized false discovery rate
- Higher criticism for detecting sparse heterogeneous mixtures.
- A stochastic process approach to false discovery control.
- Generalizations of the familywise error rate
- Selective inference in complex research
- Multiparameter Hypothesis Testing and Acceptance Sampling
- On closed testing procedures with special reference to ordered analysis of variance
- A unifying approach for confidence intervals and testing of equivalence and difference
- Multiple Hypotheses Testing with Weights
- Empirical Bayes Analysis of a Microarray Experiment
- A Direct Approach to False Discovery Rates
- False Discovery Rate–Adjusted Multiple Confidence Intervals for Selected Parameters
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Simultaneous and selective inference: Current successes and future challenges