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1
Variable vision in variable environments: the visual system of an invasive cichlid ( Cichla monoculus ) in Lake Gatun, Panama
Variable vision in variable environments: the visual system of an invasive cichlid ( Cichla monoculus ) in Lake Gatun, Panama
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Variable vision in variable environments: the visual system of an invasive cichlid ( Cichla monoculus ) in Lake Gatun, Panama

Journal of experimental biology, 2019-03, Vol.222 (Pt 6) [Peer Reviewed Journal]

2019. Published by The Company of Biologists Ltd. ;2019. Published by The Company of Biologists Ltd 2019 ;ISSN: 0022-0949 ;EISSN: 1477-9145 ;DOI: 10.1242/jeb.188300 ;PMID: 30787138

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2
Why significant variables aren’t automatically good predictors
Why significant variables aren’t automatically good predictors
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Why significant variables aren’t automatically good predictors

Proceedings of the National Academy of Sciences - PNAS, 2015-11, Vol.112 (45), p.13892-13897 [Peer Reviewed Journal]

Volumes 1–89 and 106–112, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Nov 10, 2015 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1518285112 ;PMID: 26504198

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3
Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons
Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons
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Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons

Nature (London), 2019-06, Vol.570 (7762), p.509-513 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Jun 27, 2019 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-019-1261-9 ;PMID: 31142844

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4
High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models
High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models
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High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models

PloS one, 2017-01, Vol.12 (1), p.e0170478-e0170478 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Forkuor et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Forkuor et al 2017 Forkuor et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0170478 ;PMID: 28114334

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5
Host variables confound gut microbiota studies of human disease
Host variables confound gut microbiota studies of human disease
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Host variables confound gut microbiota studies of human disease

Nature (London), 2020-11, Vol.587 (7834), p.448-454 [Peer Reviewed Journal]

COPYRIGHT 2020 Nature Publishing Group ;Copyright Nature Publishing Group Nov 19, 2020 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-020-2881-9 ;PMID: 33149306

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6
ForestClim —Bioclimatic variables for microclimate temperatures of European forests
ForestClim —Bioclimatic variables for microclimate temperatures of European forests
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ForestClim —Bioclimatic variables for microclimate temperatures of European forests

Global change biology, 2023-06, Vol.29 (11), p.2886-2892 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1354-1013 ;EISSN: 1365-2486 ;DOI: 10.1111/gcb.16678

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7
Instrumental variables II: instrumental variable application—in 25 variations, the physician prescribing preference generally was strong and reduced covariate imbalance
Instrumental variables II: instrumental variable application—in 25 variations, the physician prescribing preference generally was strong and reduced covariate imbalance
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Instrumental variables II: instrumental variable application—in 25 variations, the physician prescribing preference generally was strong and reduced covariate imbalance

Journal of clinical epidemiology, 2009-12, Vol.62 (12), p.1233-1241 [Peer Reviewed Journal]

Elsevier Inc. ;2009 Elsevier Inc. ;2015 INIST-CNRS ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2008.12.006 ;PMID: 19345561

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8
Variables Associated With Breastfeeding Duration
Variables Associated With Breastfeeding Duration
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Variables Associated With Breastfeeding Duration

Journal of Obstetric, Gynecologic, and Neonatal Nursing, 2009-05, Vol.38 (3), p.259-268 [Peer Reviewed Journal]

2009 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses ;Copyright SAGE PUBLICATIONS, INC. May/Jun 2009 ;ISSN: 0884-2175 ;EISSN: 1552-6909 ;DOI: 10.1111/j.1552-6909.2009.01021.x ;PMID: 19538614

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9
Gender-related variables for health research
Gender-related variables for health research
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Gender-related variables for health research

Biology of sex differences, 2021-02, Vol.12 (1), p.23-23, Article 23 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2042-6410 ;EISSN: 2042-6410 ;DOI: 10.1186/s13293-021-00366-3 ;PMID: 33618769

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10
Frontal cortex neuron types categorically encode single decision variables
Frontal cortex neuron types categorically encode single decision variables
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Frontal cortex neuron types categorically encode single decision variables

Nature (London), 2019-12, Vol.576 (7787), p.446-451 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Dec 19-Dec 26, 2019 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-019-1816-9 ;PMID: 31801999

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11
Functions of multivector variables
Functions of multivector variables
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Functions of multivector variables

PloS one, 2015-03, Vol.10 (3), p.e0116943-e0116943 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Chappell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Chappell et al 2015 Chappell et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0116943 ;PMID: 25774689

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12
Histopathologic variables predict Oncotype DX™ Recurrence Score
Histopathologic variables predict Oncotype DX™ Recurrence Score
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Histopathologic variables predict Oncotype DX™ Recurrence Score

Modern pathology, 2008-10, Vol.21 (10), p.1255-1261 [Peer Reviewed Journal]

2008 United States & Canadian Academy of Pathology ;Copyright Nature Publishing Group Oct 2008 ;ISSN: 0893-3952 ;EISSN: 1530-0285 ;DOI: 10.1038/modpathol.2008.54 ;PMID: 18360352 ;CODEN: MODPEO

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13
Kiss1−/− Mice Exhibit More Variable Hypogonadism than Gpr54−/− Mice
Kiss1−/− Mice Exhibit More Variable Hypogonadism than Gpr54−/− Mice
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Kiss1−/− Mice Exhibit More Variable Hypogonadism than Gpr54−/− Mice

Endocrinology (Philadelphia), 2007-10, Vol.148 (10), p.4927-4936 [Peer Reviewed Journal]

2007 INIST-CNRS ;ISSN: 0013-7227 ;EISSN: 1945-7170 ;DOI: 10.1210/en.2007-0078 ;PMID: 17595229 ;CODEN: ENDOAO

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14
Clinical variables and biomarkers in prediction of cognitive impairment in patients with newly diagnosed Parkinson's disease: a cohort study
Clinical variables and biomarkers in prediction of cognitive impairment in patients with newly diagnosed Parkinson's disease: a cohort study
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Clinical variables and biomarkers in prediction of cognitive impairment in patients with newly diagnosed Parkinson's disease: a cohort study

Lancet neurology, 2017-01, Vol.16 (1), p.66-75 [Peer Reviewed Journal]

Elsevier Ltd ;2016 Elsevier Ltd ;Copyright © 2016 Elsevier Ltd. All rights reserved. ;Copyright Elsevier Limited Jan 01, 2017 ;ISSN: 1474-4422 ;EISSN: 1474-4465 ;DOI: 10.1016/S1474-4422(16)30328-3 ;PMID: 27866858 ;CODEN: LANCAO

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15
Use of allele scores as instrumental variables for Mendelian randomization
Use of allele scores as instrumental variables for Mendelian randomization
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Use of allele scores as instrumental variables for Mendelian randomization

International journal of epidemiology, 2013-08, Vol.42 (4), p.1134-1144 [Peer Reviewed Journal]

2014 INIST-CNRS ;Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2013. 2013 ;ISSN: 0300-5771 ;EISSN: 1464-3685 ;DOI: 10.1093/ije/dyt093 ;PMID: 24062299 ;CODEN: IJEPBF

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16
Sex as a Biological Variable in Atherosclerosis
Sex as a Biological Variable in Atherosclerosis
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Sex as a Biological Variable in Atherosclerosis

Circulation research, 2020-04, Vol.126 (9), p.1297-1319 [Peer Reviewed Journal]

2020 American Heart Association, Inc. ;ISSN: 0009-7330 ;EISSN: 1524-4571 ;DOI: 10.1161/CIRCRESAHA.120.315930 ;PMID: 32324497

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17
Phylogenetic Logistic Regression for Binary Dependent Variables
Phylogenetic Logistic Regression for Binary Dependent Variables
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Phylogenetic Logistic Regression for Binary Dependent Variables

Systematic biology, 2010-01, Vol.59 (1), p.9-26 [Peer Reviewed Journal]

Copyright © 2010 Society of Systematic Biologists ;The Author(s) 2009. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org 2010 ;Copyright Taylor & Francis Ltd. Jan 2010 ;ISSN: 1063-5157 ;EISSN: 1076-836X ;DOI: 10.1093/sysbio/syp074 ;PMID: 20525617

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18
Stable Iterative Variable Selection
Stable Iterative Variable Selection
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Stable Iterative Variable Selection

Bioinformatics, 2021-12, Vol.37 (24), p.4810-4817 [Peer Reviewed Journal]

The Author(s) 2021. Published by Oxford University Press. 2021 ;The Author(s) 2021. Published by Oxford University Press. ;ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btab501 ;PMID: 34270690

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19
Instrumental variable methods for causal inference
Instrumental variable methods for causal inference
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Instrumental variable methods for causal inference

Statistics in medicine, 2014-06, Vol.33 (13), p.2297-2340 [Peer Reviewed Journal]

Copyright © 2014 John Wiley & Sons, Ltd. ;ISSN: 0277-6715 ;EISSN: 1097-0258 ;DOI: 10.1002/sim.6128 ;PMID: 24599889 ;CODEN: SMEDDA

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20
Zipf's Law Arises Naturally When There Are Underlying, Unobserved Variables
Zipf's Law Arises Naturally When There Are Underlying, Unobserved Variables
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Zipf's Law Arises Naturally When There Are Underlying, Unobserved Variables

PLoS computational biology, 2016-12, Vol.12 (12), p.e1005110-e1005110 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Aitchison L, Corradi N, Latham PE (2016) Zipf's Law Arises Naturally When There Are Underlying, Unobserved Variables. PLoS Comput Biol 12(12): e1005110. doi:10.1371/journal.pcbi.1005110 ;2016 Aitchison et al 2016 Aitchison et al ;2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Aitchison L, Corradi N, Latham PE (2016) Zipf's Law Arises Naturally When There Are Underlying, Unobserved Variables. PLoS Comput Biol 12(12): e1005110. doi:10.1371/journal.pcbi.1005110 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005110 ;PMID: 27997544

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