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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1920 1
1923 1
1931 1
1936 1
1947 3
1948 2
1951 2
1952 2
1954 3
1955 1
1957 1
1958 1
1959 2
1960 2
1962 2
1963 1
1964 6
1965 3
1966 11
1967 12
1968 11
1969 4
1970 9
1971 8
1972 11
1973 19
1974 21
1975 62
1976 118
1977 114
1978 134
1979 147
1980 164
1981 174
1982 217
1983 199
1984 213
1985 222
1986 246
1987 268
1988 272
1989 296
1990 391
1991 411
1992 446
1993 577
1994 645
1995 814
1996 983
1997 1109
1998 1358
1999 1503
2000 1853
2001 1991
2002 2080
2003 2427
2004 2646
2005 2850
2006 3082
2007 3307
2008 3247
2009 3414
2010 3496
2011 3620
2012 3705
2013 3727
2014 3773
2015 3765
2016 3569
2017 3405
2018 3567
2019 3406
2020 3552
2021 3736
2022 3650
2023 3281
2024 624

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Search Results

80,149 results

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Page 1
Null models in network neuroscience.
Váša F, Mišić B. Váša F, et al. Nat Rev Neurosci. 2022 Aug;23(8):493-504. doi: 10.1038/s41583-022-00601-9. Epub 2022 May 31. Nat Rev Neurosci. 2022. PMID: 35641793 Review.
Here we describe the logic, implementation and interpretation of null models of connectomes. We introduce randomization and generative approaches to constructing null networks, and outline a taxonomy of network methods for statistical inference. ...Finally, we consi …
Here we describe the logic, implementation and interpretation of null models of connectomes. We introduce randomization and generativ …
Causal null hypotheses of sustained treatment strategies: What can be tested with an instrumental variable?
Swanson SA, Labrecque J, Hernán MA. Swanson SA, et al. Eur J Epidemiol. 2018 Aug;33(8):723-728. doi: 10.1007/s10654-018-0396-6. Epub 2018 May 2. Eur J Epidemiol. 2018. PMID: 29721747 Free PMC article. Review.
Sometimes instrumental variable methods are used to test whether a causal effect is null rather than to estimate the magnitude of a causal effect. However, when instrumental variable methods are applied to time-varying exposures, as in many Mendelian randomization studies, …
Sometimes instrumental variable methods are used to test whether a causal effect is null rather than to estimate the magnitude of a c …
Null results in TMS: from absence of evidence to evidence of absence.
de Graaf TA, Sack AT. de Graaf TA, et al. Neurosci Biobehav Rev. 2011 Jan;35(3):871-7. doi: 10.1016/j.neubiorev.2010.10.006. Epub 2010 Oct 16. Neurosci Biobehav Rev. 2011. PMID: 20955732 Review.
It is always difficult to interpret null results. But as a research method, transcranial magnetic stimulation (TMS) has so many degrees of freedom that null results are often dismissed as meaningless. ...In fact, without null results, neuroimaging as an enter …
It is always difficult to interpret null results. But as a research method, transcranial magnetic stimulation (TMS) has so many degre …
Hyper-Null Models and Their Applications.
Zeng Y, Liu B, Zhou F, Lü L. Zeng Y, et al. Entropy (Basel). 2023 Sep 28;25(10):1390. doi: 10.3390/e25101390. Entropy (Basel). 2023. PMID: 37895511 Free PMC article.
Null models are crucial tools for investigating network topological structures. However, research on null models for higher-order networks is still relatively scarce. ...
Null models are crucial tools for investigating network topological structures. However, research on null models for higher-or
Null-free False Discovery Rate Control Using Decoy Permutations.
He K, Li MJ, Fu Y, Gong FZ, Sun XM. He K, et al. Acta Math Appl Sin. 2022;38(2):235-253. doi: 10.1007/s10255-022-1077-5. Epub 2022 Apr 9. Acta Math Appl Sin. 2022. PMID: 35431377 Free PMC article.
The traditional approaches to false discovery rate (FDR) control in multiple hypothesis testing are usually based on the null distribution of a test statistic. However, all types of null distributions, including the theoretical, permutation-based and empirical ones, …
The traditional approaches to false discovery rate (FDR) control in multiple hypothesis testing are usually based on the null distrib …
Interpreting null findings from trials of alcohol brief interventions.
Heather N. Heather N. Front Psychiatry. 2014 Jul 16;5:85. doi: 10.3389/fpsyt.2014.00085. eCollection 2014. Front Psychiatry. 2014. PMID: 25076917 Free PMC article. Review.
This article first explains why null findings are likely to occur under null hypothesis significance testing (NHST) due to the phenomenon known as "the dance of the p-values." ...From the standpoint of scientific progress, the chief problem about null finding …
This article first explains why null findings are likely to occur under null hypothesis significance testing (NHST) due to the …
CD28 null CD4 T-cell expansions in autoimmune disease suggest a link with cytomegalovirus infection.
Bano A, Pera A, Almoukayed A, Clarke THS, Kirmani S, Davies KA, Kern F. Bano A, et al. F1000Res. 2019 Mar 25;8:F1000 Faculty Rev-327. doi: 10.12688/f1000research.17119.1. eCollection 2019. F1000Res. 2019. PMID: 30984377 Free PMC article. Review.
Immunosenescence is often associated with the presence of an expanded population of CD4 T cells lacking expression of CD28 (CD28 (null)). These highly cytotoxic CD4 T cells were isolated from disease-affected tissues in patients with rheumatoid arthritis, systemic lupus er …
Immunosenescence is often associated with the presence of an expanded population of CD4 T cells lacking expression of CD28 (CD28 (null
Near-Null Magnetic Field Suppresses Fruit Growth in Arabidopsis.
Xu C, Feng S, Yu Y, Zhang Y, Wei S. Xu C, et al. Bioelectromagnetics. 2021 Oct;42(7):593-602. doi: 10.1002/bem.22363. Epub 2021 Jul 21. Bioelectromagnetics. 2021. PMID: 34289513
We previously found that a near-null magnetic field affected reproductive growth in Arabidopsis under white light. To test whether the effect of a near-null magnetic field on fruit growth of Arabidopsis is related to cryptochrome, we grew wild-type Arabidopsis and c …
We previously found that a near-null magnetic field affected reproductive growth in Arabidopsis under white light. To test whether th …
Comparing spatial null models for brain maps.
Markello RD, Misic B. Markello RD, et al. Neuroimage. 2021 Aug 1;236:118052. doi: 10.1016/j.neuroimage.2021.118052. Epub 2021 Apr 16. Neuroimage. 2021. PMID: 33857618 Free article.
Finally, we investigate how differences in the implementation of these null models may impact their performance. In agreement with previous reports, we find that naive null models that do not preserve spatial autocorrelation consistently yield elevated false positiv …
Finally, we investigate how differences in the implementation of these null models may impact their performance. In agreement with pr …
Better null models for assessing predictive accuracy of disease models.
Keyel AC, Kilpatrick AM. Keyel AC, et al. PLoS One. 2023 May 5;18(5):e0285215. doi: 10.1371/journal.pone.0285215. eCollection 2023. PLoS One. 2023. PMID: 37146010 Free PMC article.
Null models provide a critical baseline for the evaluation of predictive disease models. ...The Negative Binomial, Historical (i.e. using previous cases to predict future cases) and Always Absent null models were the strongest overall, and the majority of null
Null models provide a critical baseline for the evaluation of predictive disease models. ...The Negative Binomial, Historical (i.e. u
80,149 results
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