Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 73 for “"Multiple testing"”.
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Sequential multiple testing
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-08-01
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P-Values For Multiple Testing Procedures
… hypotheses, it is necessary to make use of a multiple testing method. Many of these methods, such as the well-known Benjamini and Hochber [1995] or Sidak [1967] procedures, make use of the P-values, or significance values, of the individual tests, and further assume that P-value statistics are …
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Multiple testing in spatial epidemiology: a Bayesian approach
… by a decision-oriented method, which focus on multiple testing control, without however leaving the preliminary study perspective that an analysis on SMR indicators is asked to. We implement the control of the FDR, a quantity largely used to address multiple comparisons problems in the eld of …
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Multiple testing procedures for complex structured hypotheses and directional decisions
Several multiple testing procedures are developed based on the inherent structure of the tested hypotheses and specific needs of data analysis. Incorporating the inherent structure of the hypotheses results in development of more powerful and situation-specific multiple testing procedures than …
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Sequential multiple testing and quickest change detection for dependent data streams
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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Distributional aspects of P-value and their use in multiple testing situations
"High dimensional experiments (HDEs) involving thousands of simultaneous hypothesis tests have become more prevalent in recent years. Several statistical methods that have been proposed for analyzing data from such experiments have used the distribution of P-values that result from these tests. …
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Multiple Testing Embedded in an Aggregation Tree With Applications to Omics Data
… two groups. I have developed an algorithm called multiple Testing Embedded on an Aggregation tree Method (TEAM) to locate where distributions differ between two samples. Regions containing differences can be identified in layers along the tree: the first layer searches for regions containing …
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A factor model to forecast Colombian inflation using a One Covariate at a Time - Multiple Testing approach (OCMT)
Este artículo estudia la construcción de un modelo de inflación y su pronóstico utilizando un amplio conjunto de predictores. La decisión sobre el número óptimo de factores comunes se toma utilizando los criterios de información de Bai y Ng (2002); y se implementa un enfoque de una covariable a la …
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The control of the false discovery rate under structured hypotheses
The hypotheses in many multiple testing problems often have some inherent structure based on prior information such as Gene Ontology in gene expression data. However, few false discovery rate (FDR) controlling procedures take advantage of this inherent structure. In this dissertation, we develop …
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Statistical Methods for Biological and Relational Data
… data. The methods include classification, multiple testing and social networking. The models for classification are applied to gene expression data. The first method looks at variable selection to show the usefulness of sequential classification and regression trees to more advance methods. …
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Bayesian Adjustment for Multiplicity
… multiplicity. It considers three main kinds of multiple-testing scenarios: tests of exchangeable experimental units, tests for variable inclusion in linear regresson models, and tests for conditional independence in jointly normal vectors. Multiplicity adjustment in these three areas will be …
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A Comparison of Microarray Analyses: A Mixed Models Approach Versus the Significance Analysis of Microarrays
… microarrays has raised new questions in multiple testing. Several approaches for identifying differentially expressed genes have been proposed. This paper considers two: (1) a mixed models approach, and (2) the Signiffcance Analysis of Microarrays.
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Haplotype block and genetic association
… marker association study leads to the problem of multiple testing, which is still not well understood in the context of genomewide association studies. The haplotype-based approach is one way to lessen certain problems caused by multiple testing. There is also evidence that haplotype based tests …
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DIETARY AND EXERCISE EFFECTS ON NEURAL RESPONSES TO VISUAL FOOD STIMULI IN OVERWEIGHT AND OBESE ADULTS
… paradigm to produce consistent results on multiple testing days and time course of responses following a meal have not been systematically studied. These data are critically important for the proper interpretation of existing literature and for the design of future intervention studies …
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FWER controlling procedures for testing multiple hypotheses with hierarchical structure and applications in clinical trials
… order. Although such problems of structured multiple testing have received much attention and several popular FWER controlling procedures, such as conventional fixed sequence procedure, fallback procedure and gatekeeping procedure have been introduced, not much progress has been made yet …
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Cognitive, Clinical, and Biomarker Correlates of Insight in Obsessive–Compulsive Disorder: preliminary results of a cross-sectional study
… biomarkers and cognition after correction for multiple testing. Although unsupervised clustering failed to separate subtypes clearly, supervised models achieved high accuracy (F1 = 0.9), identifying BABS conviction as the strongest discriminator. These findings highlight metacognitive …
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P-VALUE BASED VARIABLE SELECTION FOR GENERALIZED LINEAR MODELS
… ultimately make selections via the two step multiple testing procedure of Sarkar and Tang (2022), but they differ in how they construct the necessary p-values. Our first proposed method, the generalized two step, creates appropriate p-values by solving a non-trivial linear quadratic equation …
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Mitochondrial Contributions to Schizophrenia Symptom Severity: A GWAS Approach in a South African Population
… scores. Although no associations survived multiple testing corrections, exploratory analyses revealed biologically coherent patterns distinguishing symptom domains. Negative symptom severity was nominally associated with variants in electron transport chain (ETC) and mitoribosomal genes, …
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Analysis of SELDI mass spectra for biomarker discovery and cancer classification
… are based, was examined. Normality tests and the multiple testing procedures revealed that SELDI protein profiles do not follow normal distributions, implying that it may be reliable to use non-parametric methods for detecting disease-associated proteins. A new normalisation algorithm was …
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The interplay between genes and dietary factors in the aetiology of Type 2 Diabetes Mellitus
… replication and insufficient correction for multiple testing. Second, these reported interactions did not replicate in a large European multi-centre prospective T2D case-cohort study called EPIC-InterAct. We concluded that the heterogeneity between our results and those published could be …
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