Results 211 to 220 of about 2,596,446 (246)

Who Gets Included? Equity in Digital and Decentralised Mental Health and Neurodevelopmental Trials: A Systematic Review

Hall SS, Hall CL, Partlett C, Jeayes A, Rattu N, Henshaw H, Martin J, Shoesmith E.   +7 more
europepmc   +1 more source

Leveraging genetic propensity to identify modifiable factors for the age at onset of Alzheimer's disease. [PDF]

Alzheimers Dement
Li YJ, La JO, Naj A, Martin ER.
europepmc   +1 more source

Fieldoscopy at the quantum limit. [PDF]

Light Sci Appl
Zimin DA, Ashoka A, Reiter F, Rao A.
europepmc   +1 more source

A resource of “bottom-line” variant associations for 1,281 complex traits by integrating data across published genome-wide association studies

Nguyen T, Büyükgöl F, Smadbeck P, Massung J, Costanzo M, Ruiz M, Dornbos P, Yoshiji S, Koesterer R, Nguyen TL, Jang D, Hoang Q, Ji Y, McMahon A, Sengupta S, Yin X, Ryan B, Welch R, Treur J, Bezzina C, Abecasis GR, Boehnke M, Burtt N, Flannick J.   +23 more
europepmc   +1 more source

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Statistical Phylogeography

Molecular Ecology, 2002
While studies of phylogeography and speciation in the past have largely focused on the documentation or detection of significant patterns of population genetic structure, the emerging field of statistical phylogeography aims to infer the history and processes underlying that structure, and to provide objective, rather than ad hoc explanations.
L Lacey, Knowles, Wayne P, Maddison
openaire   +2 more sources

Statistics, Adjusted Statistics, and Maladjusted Statistics

American Journal of Law & Medicine, 2017
Statistical adjustment is a ubiquitous practice in all quantitative fields that is meant to correct for improprieties or limitations in observed data, to remove the influence of nuisance variables or to turn observed correlations into causal inferences. These adjustments proceed by reporting not what was observed in the real world, but instead modeling
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Robust Statistics [PDF]

, 2011
The first example involves the real data given in Table 1 which are the results of an interlaboratory test. The boxplots are shown in Fig. 1 where the dotted line denotes the mean of the observations and the solid line the median. We note that only the results of the Laboratories 1 and 3 lie below the mean whereas all the remaining laboratories return ...
Gather, Ursula, Davies, P. Laurie
openaire   +3 more sources