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.
Results
Showing 1 to 20 of 64 for “"false discovery rate"”.
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New Results on the False Discovery Rate
The false discovery rate (FDR) introduced by Benjamini and Hochberg (1995) is perhaps the most standard error controlling measure being used in a wide variety of applications involving multiple hypothesis testing. There are two approaches to control the FDR - the fixed error rate approach of …
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The control of the false discovery rate under structured hypotheses
… Ontology in gene expression data. However, few false discovery rate (FDR) controlling procedures take advantage of this inherent structure. In this dissertation, we develop FDR controlling methods which exploit the structural information of the hypotheses. First, we study the fixed sequence …
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An adaptive single-step FDR controlling procedure
… parameters, would asymptotically control the False Discovery Rate when testing a large number of hypotheses simultaneously, and exploring some of the characteristics of this procedure.
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P-VALUE BASED VARIABLE SELECTION FOR GENERALIZED LINEAR MODELS
… for generalized linear models and control the false discovery rate under arbitrary covariance structure. Both approaches 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 …
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Statistical co-analysis of high-dimensional association studies
… developed methodology for a Bayesian conditional false discovery rate (cFDR) for levering GWAS results using summary statistics from a related disease. I extended an existing method to enable a shared control design, increasing power and applicability, and developed an approximate bound on …
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False Discoveries in the Performance of Canadian Equity Mutual Funds
… mutual funds over the period 1991-2016 using the False Discovery Rate (FDR) methodolody. We find that around 85% of the sampled funds are genuinely zero-alpha, and the majority of skilled funds lies in the extreme right tail. Overall, false positive rates in the studied population are found to be …
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Zebra Crosswalk Detection Assisted by Neural Networks
… crosswalks by proposing an algorithm that incorporates multiple properties of zebra stripe crosswalks with a neural network to assist in quickly and accurately identifying a crosswalk in video and pictures taken from a smartphone camera.</p> <p>This method improves the accuracy of zebra crosswalk …
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Avoiding data mining bias when testing technical analysis strategies - a methodological study
… identify a profitable technical analysis (TA) strategy, a na¨ıve investigation will compare a large number of possible strategies using the same set of historical market data. This process can give rise to a significant data mining bias, which can cause spurious results. There are various methods …
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Bayesian analysis for mixtures of discrete distributions with a non-parametric component
… proposed. This new methodology leads to more accurate parameter estimation, smaller classification error rate and smaller false non-discovery rate in the case of discrete data. Moreover, it does not incur the label-switching problem. An application of the method to data generated by …
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Analysis and interpretation of high-throughput chemical-genetic interaction screens.
… to interface with the large-scale datasets generated from screens of thousands of compounds performed by collaborators. The former pipeline processes the raw data into chemical-genetic interaction scores and provides tools to remove systematic biases and other unwanted signals from large-scale …
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Causal Gene Network Inference from Genetical Genomics Experiments via Structural Equation Modeling
… power of around ninety percent, and an average false discovery rate of around ten percent.
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Multiple testing procedures for complex structured hypotheses and directional decisions
… questions while controlling appropriate error rates. In the first part of the thesis, a mixed directional false discovery rate (mdFDR) controlling procedure is developed in the context of uterine fibroid gene expression data (Davis et al., 2013). The main question of interest that arises in …
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Statistical methods for ChIP-seq and microbiome studies using next-generation DNA sequencing data
… we studied two different types of data generated by next-generation sequencing technologies. Chapter 2 is about analysis of ChIP-seq data with biological replicates to identify protein-binding sites. Chapters 3-4 are about analysis of microbiome data to estimate the causal effects of …
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Topics on statistical design and analysis of cDNA microarray experiment
… the true proportion of true nulls, local false discovery rate (lFDR) and positive false discovery rate (pFDR) and dye effect normalization. The first topic consists of four subtopics each of which is about an independent and practical problem of cDNA microarray experimental design. In the …
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Effects of blood donation and iron homeostasis on medium and long term cardiometabolic outcomes
… the healthy donor bias) and after correction for false-discovery rate, the only cardiometabolic association that remained significant was risk of pulmonary embolism (hazard ratio 0.48, 95%CI 0.25 to 0.79 when comparing donors that donated >4 times over their donation career vs those who have …
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Functional Near-Infrared Spectroscopy (fNIRS) Based Functional Connectivity Alterations Associated with Delirium in Critically Ill Children: An Exploratory Study
… associated with delirium presence, even after false discovery rate (FDR) correction. Sedative opioid use also emerged as a significant predictor of delirium status. In a separate model examining delirium severity, higher CAPD scores were associated with greater sedative opioid exposure, younger …
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Assessment of Penalized Regression for Genome-wide Association Studies
… perform penalty parameter and SNP selection by False Discovery Rate (FDR) control, and assess their performance (including penalties incorporating linkage disequilibrium) in comparison with SMA. PR methods were compared with SMA on realistically simulated GWAS data consisting of genotype data …
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Decoding the emotional modulation of memory encoding: a multivariate fmri study of arousal and valence
… success ('recalled' vs. 'not recalled') separately within high, medium, and low arousal contexts, as well as within positive, neutral, and negative valence contexts. Individual-level statistical validation was performed using permutation testing and False Discovery Rate (FDR) correction, …
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Variable selection for generalized linear mixed models and non-Gaussian Genome-wide associated study data
… SMA identifies true causal SNPs with high false discovery rate. In addition, SMA does not consider interaction between SNPs. In this dissertation, we propose novel Bayesian variable selection methods BG2 and IBG3 for non-Gaussian GWAS data. To solve ultra-high dimension problem and highly …
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