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22 papers · ranked by Valyu relevance

01
AarXiv2013
Finding and Solving Contradictions of False Positives in Virus Scanning
Umakant Mishra
| 1. What is false Positive 2 | | --- | | 2. Probability of False Positives in different Methods of Virus Scanning 2 | | 3. Reasons of getting false positives 4 | | 4. The Ideal Final Result and Contradictions 5 | | 5. Contradiction of tighter rules and false positives 5 | | 6. Contradiction of confirming the infection…
84relevance
02
PPubMed27 Sep 2017
Creating falseness—How to establish statistical evidence of the untrue Lytsy
Per Lytsy
Null hypothesis significance testing is the typical statistical approach in search of the truthfulness of hypotheses. This method does not formally consider the prior credence in the hypothesis, which affects the chances of reaching correct conclusions. When scientifically implausible or empirically weakly supported…
81relevance
03
CchemRxiv12 Dec 2023
Data Valuation: A novel approach for analyzing high throughput screen data using machine learning
Joshua Hesse, Davide Boldini, Stephan Sieber
In the rapidly evolving field of drug discovery, High Throughput Screening (HTS) is a pivotal technique for identifying promising compounds. Despite its wide usage, the primary challenge remains in efficiently sifting through vast chemical libraries to discern true bioactive compounds from false positives. This study…
79relevance
04
AarXiv2022
Estimating the lifetime risk of a false positive screening test result
Tim D. White, Sara Algeri
False positive results in screening tests have potentially severe psychological, medical, and financial consequences for the recipient. However, there have been few efforts to quantify how the risk of a false positive accumulates over time. We seek to fill this gap by estimating the probability that an individual who…
77relevance
05
PPubMed31 Jan 2007
Investigation of False Positive Results with an Oral Fluid Rapid HIV-1/2 Antibody Test False Positive Rapid HIV Tests
Krishna Jafa, Pragna Patel, Duncan A. MacKellar, Patrick S. Sullivan + 9 more
'Kevin P. Delaney' 'Tracy L. Sides' 'Alexandra P. Newman' 'Sindy M. Paul' 'Evan M. Cadoff' 'Eugene G. Martin' 'Patrick A. Keenan' 'Bernard M. Branson' '' 'Douglas Nixon'] Background In March 2004, the OraQuick® rapid HIV antibody test became the first rapid HIV test approved by the US Food and Drug Administration for…
77relevance
06
BbioRxiv31 May 2017
The reproducibility of research and the misinterpretation of *P* values
David Colquhoun
We wish to answer this question If you observe a “significant” P value after doing a single unbiased experiment, what is the probability that your result is a false positive?. The weak evidence provided by P values between 0.01 and 0.05 is explored by exact calculations of false positive rates. When you observe P =…
74relevance
07
PPubMed17 Oct 2023
False Elevation of Troponin Levels in a Patient With Chest Pain and Significant Psychoemotional Stress
Alexander Muacevic, John R Adler, Ali Elkhedr, Sabri Elkhidir
We present a case of a 63-year-old woman who experienced significant psychoemotional stress and was seen in the emergency department for an evaluation of chest pain. She was sent home after reassurance. Subsequent troponin levels came back above the normal range. The patient was called back to the hospital for further…
74relevance
08
CchemRxiv5 Dec 2023
Machine learning assisted hit prioritization for high throughput screening in drug discovery
Davide Boldini, Lukas Friedrich, Daniel Kuhn, Stephan Sieber
Efficient prioritization of bioactive compounds from high throughput screening campaigns is a fundamental challenge for accelerating drug development efforts. In this study, we present the first data-driven approach to simultaneously detect assay interferents and prioritize true bioactive compounds. By analyzing the…
73relevance
09
PPubMed12 Sep 2018
Simple changes of individual studies can improve the reproducibility of the biomedical scientific process as a whole Simple changes of individual studies can improve the reproducibility of the scientific process as a whole
Matthias Steinfath, Silvia Vogl, Norman Violet, Franziska Schwarz + 5 more
'Hans Mielke' 'Thomas Selhorst' 'Matthias Greiner' 'Gilbert Schönfelder' 'Eric-Jan Wagenmakers'] We developed a new probabilistic model to assess the impact of recommendations rectifying the reproducibility crisis (by publishing both positive and ‘negative‘ results and increasing statistical power) on competing…
73relevance
10
PPubMed17 Apr 2015
Frequency of False Positive Rapid HIV Serologic Tests in African Men and Women Receiving PrEP for HIV Prevention: Implications for Programmatic Roll-Out of Biomedical Interventions Frequency of False Positive Rapid HIV Serologic Tests
Patrick Ndase, Connie Celum, Lara Kidoguchi, Allan Ronald + 5 more
The use of antiretroviral-based approaches to HIV prevention, including antiretroviral treatment of HIV-infected partners of HIV-uninfected individuals , antiretroviral-based topical microbicides , and oral antiretrovirals as pre-exposure prophylaxis (PrEP) , has significant promise for reducing the scale of the HIV…
73relevance
11
BbioRxiv3 Apr 2016
Statistical Analysis of Zika Virus Correlation to Microcephaly
Pedro P. Simoni, Isabela C. Simoni
A Statistical Analysis was performed to probe the correlation between the Zika Virus (ZIKV) and its possibility to induce Microcephaly in infants. It was found that without considering a false positive on tests for ZIKV on mothers there seems to be a statistical significance on ZIKV to cause Microcephaly in infants…
72relevance
12
AarXiv2023
Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations
Vasantha Kumar Venugopal, Abhishek Gupta, Rohit Takhar, Charlene Liew Jin Yee + 2 more
'Charlene Liew Jin Yee' 'Catherine Jones' 'Gilberto Szarf'] Artificial Intelligence (AI) has significantly revolutionized radiology, promising improved patient outcomes and streamlined processes. However, it's critical to ensure the fairness of AI models to prevent stealthy bias and disparities from leading to unequal…
70relevance
13
BbioRxiv8 Sep 2018
Beyond Bonferroni Revisited: Concerns over inflated false positives in conservation genetics, genetics, and neuroscience
Tonya White, Jan van der Ende, Thomas E. Nichols
In 2006, Narum published a paper in Conservation Genetics that was motivated by the stringent nature of the Bonferroni approach for family wise error correction. That work suggested that the approach of Benjamini and Yekutieli in 2001 provided adequate correction and was more biologically relevant. However, there are…
69relevance
14
AarXiv2020
Accelerated infection testing at scale: a proposal for inference with single test on multiple patients
Tarun Jain, Bijendra Nath Jain
In pandemics or epidemics, public health authorities need to rapidly test a large number of individuals, both to determine the line of treatment as well as to know the spread of infection to plan containment, mitigation and future responses. However, the lack of adequate testing kits could be a bottleneck, especially…
69relevance
15
AarXiv2020
Fairness in machine learning: against false positive rate equality as a measure of fairness
Robert R. Long
As machine learning informs increasingly consequential decisions, different metrics have been proposed for measuring algorithmic bias or unfairness. Two popular "fairness measures" are calibration and equality of false positive rate. Each measure seems intuitively important, but notably, it is usually impossible to…
69relevance
16
PPubMed5 Jan 2010
Another look at Emergency Department HIV screening in practice: no need to revise expectations
Jeremy Brown, Manya Magnus, Maggie Czarnogosrki, Vanessa Lee
Background A recent study reported a lower than expected specificity and positive predictive value of the rapid oral HIV test in the setting of routine emergency department (ED) screening. These results appeared inconsistent with the findings in another urban Emergency Department during the same time period. Objective…
69relevance
17
BbioRxiv10 Sep 2021
Visualizing the Costs and Benefits of Correcting P-Values for Multiple Hypothesis Testing in Omics Data
Steven R. Shuken, Margaret W. McNerney
The multiple hypothesis testing problem is inherent in high-throughput quantitative genomic, transcriptomic, proteomic, and other “omic” screens. The correction of p-values for multiple testing is a critical element of quantitative omic data analysis, yet many researchers are unfamiliar with the sensitivity costs and…
66relevance
18
PPubMed3 Jan 2014
Correction: Coval: Improving Alignment Quality and Variant Calling Accuracy for Next-Generation Sequencing Data Correction
Shunichi Kosugi, Satoshi Natsume, Kentaro Yoshida, Daniel MacLean + 3 more
'Liliana Cano' 'Sophien Kamoun' 'Ryohei Terauchi'] There is an error in the title for the last/fifth column of Table 2. "True positive rate" is incorrectly listed as the title for the last/fifth column. The correct title for this column is "False positive rate."
64relevance
19
BbioRxiv14 May 2020
Patient DNA cross-reactivity of CDC SARS-nCoV2 extraction control leads to potential false negative results
Adam P. Rosebrock
Detecting RNA viruses such as SARS-nCoV2 requires careful handling of inherently labile RNA. Molecular tests incorporate controls to verify the presence of intact RNA and ensure that all steps of an assay have succeeded. The Centers for Disease Control and Prevention (CDC)-specified extraction control recognizes both…
64relevance
20
CchemRxiv8 Feb 2024
Biomarkers for early cancer detection: A landscape view of recent advancements, spotlighting pancreatic and liver cancers
Rumiana Tenchov, Aparna Sapra, Janet Sasso, Krittika Ralhan + 3 more
Cancer is one of the leading causes of death worldwide. Early cancer detection is critical because it can significantly improve treatment outcome thus saving lives, reducing suffering, and lessening psychological and economic burdens. Cancer biomarkers provide varied information about cancer, from early detection of…
60relevance
21
CchemRxiv18 Dec 2023
Deconvoluting Low Yield from Weak Potency in Direct-to-Biology Workflows with Machine Learning
William McCorkindale, Mihajlo Filep, Nir London, Alpha A. Lee + 1 more
High throughput and rapid biological evaluation of small molecules is an essential factor in drug discovery and development. Direct-to-Biology (D2B), whereby compound purification is foregone, has emerged as a viable technique in time efficient screening, specifically for PROTAC design and biological evaluation.…
59relevance
22
AarXiv2022
Optimal Decision Theory for Diagnostic Testing: Minimizing Indeterminate Classes with Applications to Saliva-Based SARS-CoV-2 Antibody Assays
Paul N. Patrone, Prajakta Bedekar, Nora Pisanic, Yukari C. Manabe + 3 more
'David L. Thomas' 'Christopher D. Heaney' 'Anthony J. Kearsley'] Abstract In diagnostic testing, establishing an indeterminate class is an effective way to identify samples that cannot be accurately classified. However, such approaches also make testing less efficient and must be balanced against overall assay…
59relevance

Results for false positive

Finding and Solving Contradictions of False Positives in Virus Scanning

Creating falseness—How to establish statistical evidence of the untrue Lytsy

Data Valuation: A novel approach for analyzing high throughput screen data using machine learning

Estimating the lifetime risk of a false positive screening test result

Investigation of False Positive Results with an Oral Fluid Rapid HIV-1/2 Antibody Test False Positive Rapid HIV Tests

The reproducibility of research and the misinterpretation of *P* values

False Elevation of Troponin Levels in a Patient With Chest Pain and Significant Psychoemotional Stress

Machine learning assisted hit prioritization for high throughput screening in drug discovery

Simple changes of individual studies can improve the reproducibility of the biomedical scientific process as a whole Simple changes of individual studies can improve the reproducibility of the scientific process as a whole

Frequency of False Positive Rapid HIV Serologic Tests in African Men and Women Receiving PrEP for HIV Prevention: Implications for Programmatic Roll-Out of Biomedical Interventions Frequency of False Positive Rapid HIV Serologic Tests

Statistical Analysis of Zika Virus Correlation to Microcephaly

Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations

Beyond Bonferroni Revisited: Concerns over inflated false positives in conservation genetics, genetics, and neuroscience

Accelerated infection testing at scale: a proposal for inference with single test on multiple patients

Fairness in machine learning: against false positive rate equality as a measure of fairness

Another look at Emergency Department HIV screening in practice: no need to revise expectations

Visualizing the Costs and Benefits of Correcting P-Values for Multiple Hypothesis Testing in Omics Data

Correction: Coval: Improving Alignment Quality and Variant Calling Accuracy for Next-Generation Sequencing Data Correction

Patient DNA cross-reactivity of CDC SARS-nCoV2 extraction control leads to potential false negative results

Biomarkers for early cancer detection: A landscape view of recent advancements, spotlighting pancreatic and liver cancers

Deconvoluting Low Yield from Weak Potency in Direct-to-Biology Workflows with Machine Learning

Optimal Decision Theory for Diagnostic Testing: Minimizing Indeterminate Classes with Applications to Saliva-Based SARS-CoV-2 Antibody Assays

Finding and Solving Contradictions of False Positives in Virus Scanning

Creating falseness—How to establish statistical evidence of the untrue Lytsy

Data Valuation: A novel approach for analyzing high throughput screen data using machine learning

Estimating the lifetime risk of a false positive screening test result

Investigation of False Positive Results with an Oral Fluid Rapid HIV-1/2 Antibody Test False Positive Rapid HIV Tests

The reproducibility of research and the misinterpretation of *P* values

False Elevation of Troponin Levels in a Patient With Chest Pain and Significant Psychoemotional Stress

Machine learning assisted hit prioritization for high throughput screening in drug discovery

Simple changes of individual studies can improve the reproducibility of the biomedical scientific process as a whole Simple changes of individual studies can improve the reproducibility of the scientific process as a whole

Frequency of False Positive Rapid HIV Serologic Tests in African Men and Women Receiving PrEP for HIV Prevention: Implications for Programmatic Roll-Out of Biomedical Interventions Frequency of False Positive Rapid HIV Serologic Tests

Statistical Analysis of Zika Virus Correlation to Microcephaly

Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations

Beyond Bonferroni Revisited: Concerns over inflated false positives in conservation genetics, genetics, and neuroscience

Accelerated infection testing at scale: a proposal for inference with single test on multiple patients

Fairness in machine learning: against false positive rate equality as a measure of fairness

Another look at Emergency Department HIV screening in practice: no need to revise expectations

Visualizing the Costs and Benefits of Correcting P-Values for Multiple Hypothesis Testing in Omics Data

Correction: Coval: Improving Alignment Quality and Variant Calling Accuracy for Next-Generation Sequencing Data Correction

Patient DNA cross-reactivity of CDC SARS-nCoV2 extraction control leads to potential false negative results

Biomarkers for early cancer detection: A landscape view of recent advancements, spotlighting pancreatic and liver cancers

Deconvoluting Low Yield from Weak Potency in Direct-to-Biology Workflows with Machine Learning

Optimal Decision Theory for Diagnostic Testing: Minimizing Indeterminate Classes with Applications to Saliva-Based SARS-CoV-2 Antibody Assays

The reproducibility of research and the misinterpretation of P values

The reproducibility of research and the misinterpretation of P values