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Psychology's Renaissance

Annual review of psychology, 2018-01, Vol.69 (1), p.511-534

2018

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The False Positive Risk: A Proposal Concerning What to Do About p-Values

The American statistician, 2019-03, Vol.73 (sup1), p.192-201

Colquhoun, David

2019

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Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (28), p.7900-7905

2016

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Replication levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data

Molecular ecology resources, 2015-05, Vol.15 (3), p.543-556

2015

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FMRI Clustering in AFNI: False-Positive Rates Redux

Brain connectivity, 2017-04, Vol.7 (3), p.152

2017

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False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies

Journal of clinical epidemiology, 2014-08, Vol.67 (8), p.850-857

2014

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The False-positive to False-negative Ratio in Epidemiologic Studies

Epidemiology (Cambridge, Mass.), 2011-07, Vol.22 (4), p.450-456

2011

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Recurrence of SARS-CoV-2 viral RNA in recovered COVID-19 patients: a narrative review

European journal of clinical microbiology & infectious diseases, 2021-01, Vol.40 (1), p.13-25

2021

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COVID-19 Antibody Tests and Their Limitations

ACS sensors, 2021-03, Vol.6 (3), p.593-612

2021

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Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

IEEE transactions on biomedical engineering, 2017-07, Vol.64 (7), p.1558-1567

2017

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IEEE_Xplore

A Method To Prevent SARS-CoV-2 IgM False Positives in Gold Immunochromatography and Enzyme-Linked Immunosorbent Assays

Journal of clinical microbiology, 2020-05, Vol.58 (6)

2020

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False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant

Psychological science, 2011-11, Vol.22 (11), p.1359-1366

2011

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Detecting the Coronavirus (COVID-19)

ACS sensors, 2020-08, Vol.5 (8), p.2283-2296

2020

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Cumulative risk of a false‐positive screening result: A retrospective cohort study using empirical data from 10 biennial screening rounds in BreastScreen Norway

Cancer, 2022-04, Vol.128 (7), p.1373-1380

2022

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Accuracy and reliability of forensic latent fingerprint decisions

Proceedings of the National Academy of Sciences - PNAS, 2011-05, Vol.108 (19), p.7733-7738

2011

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Cumulative risks of false positive recall and screen‐detected breast cancer after multiple screening examinations

International journal of cancer, 2023-07, Vol.153 (2), p.312-319

2023

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Estimating false positives and negatives in brain networks

NeuroImage (Orlando, Fla.), 2013-04, Vol.70, p.402-409

2013

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Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN

Magnetic resonance in medicine, 2020-05, Vol.83 (5), p.1863-1874

2020

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The Long Way From α-Error Control to Validity Proper: Problems With a Short-Sighted False-Positive Debate

Perspectives on psychological science, 2012-11, Vol.7 (6), p.661-669

2012

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DNA sequencing of maternal plasma to detect Down syndrome: an international clinical validation study

Genetics in medicine, 2011-11, Vol.13 (11), p.913-920

2011

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Interferon-γ release assays and tuberculin skin testing for diagnosis of latent tuberculosis infection in healthcare workers in the United States

American journal of respiratory and critical care medicine, 2014-01, Vol.189 (1), p.77-87

2014

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Is the Replicability Crisis Overblown? Three Arguments Examined

Perspectives on psychological science, 2012-11, Vol.7 (6), p.531-536

2012

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Median splits, Type II errors, and false–positive consumer psychology: Don't fight the power

Journal of consumer psychology, 2015-10, Vol.25 (4), p.679-689

2015

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Overdiagnosis of COPD in Subjects With Unobstructed Spirometry: A BOLD Analysis

Chest, 2019-08, Vol.156 (2), p.277

2019

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Convolutional neural network-based PSO for lung nodule false positive reduction on CT images

Computer methods and programs in biomedicine, 2018-08, Vol.162, p.109-118

2018

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Psychology's Renaissance

The False Positive Risk: A Proposal Concerning What to Do About p-Values

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

Replication levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data

FMRI Clustering in AFNI: False-Positive Rates Redux

False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies

The False-positive to False-negative Ratio in Epidemiologic Studies

Recurrence of SARS-CoV-2 viral RNA in recovered COVID-19 patients: a narrative review

COVID-19 Antibody Tests and Their Limitations

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

A Method To Prevent SARS-CoV-2 IgM False Positives in Gold Immunochromatography and Enzyme-Linked Immunosorbent Assays

False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant

Detecting the Coronavirus (COVID-19)

Cumulative risk of a false‐positive screening result: A retrospective cohort study using empirical data from 10 biennial screening rounds in BreastScreen Norway

Accuracy and reliability of forensic latent fingerprint decisions

Cumulative risks of false positive recall and screen‐detected breast cancer after multiple screening examinations

Estimating false positives and negatives in brain networks

Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN

The Long Way From α-Error Control to Validity Proper: Problems With a Short-Sighted False-Positive Debate

DNA sequencing of maternal plasma to detect Down syndrome: an international clinical validation study

Interferon-γ release assays and tuberculin skin testing for diagnosis of latent tuberculosis infection in healthcare workers in the United States

Is the Replicability Crisis Overblown? Three Arguments Examined

Median splits, Type II errors, and false–positive consumer psychology: Don't fight the power

Overdiagnosis of COPD in Subjects With Unobstructed Spirometry: A BOLD Analysis

Convolutional neural network-based PSO for lung nodule false positive reduction on CT images

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