Results 141 to 150 of about 22,359,362 (203)

Genetic association meta-analysis is susceptible to confounding by between-study cryptic relatedness. [PDF]

HGG Adv
Tu T, Ochoa A.
europepmc   +1 more source

Design of a Sequential Filtering Method Fully Equivalent to the Centralized Filter with Cross-Correlated Noise. [PDF]

Sensors (Basel)
Huang Y, Huang W, Wen C.
europepmc   +1 more source

Robust Polarization-Domain Adaptive Anti-Jamming via Forgetting-Factor Covariance Estimation and Adaptive Diagonal Loading. [PDF]

Sensors (Basel)
Xiong Y, He H, Xiao B, Wang L, Li Z.
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Serotonergic psychedelics induce distinct patterns of metabolic activity and covariance within biologically informed rat brain networks. [PDF]

Nat Commun
Gudmundsen F, Czurylo J, Rijsketic DR, Vo CT, Fortunato J, Jessen NS, Woodruff S, Baun C, Herth MM, Shalgunov V, Heifets BD, Fisher PM, Palner M.   +12 more
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Dissecting genetic variance structure and evaluating genomic prediction models for single-cross hybrids derived from Stiff Stalk and Non-Stiff Stalk maize heterotic groups. [PDF]

G3 (Bethesda)
Godoy Dos Santos JC, Edwards J, Lee E, Mikel MA, Fernandes SB, Hirsch CN, Berry SP, Lipka AE, Bohn MO.   +8 more
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Using the Hierarchical Taxonomy of Psychopathology (HiTOP) for precision psychiatry. [PDF]

World Psychiatry
DeYoung CG, Martin EA, and the HiTOP Neurobiological Foundations Workgroup.   +2 more
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Genetically linked brain imaging markers of memory decline in aging and Alzheimer's disease. [PDF]

Alzheimers Dement
Yang Y, Lorenz A, Sathe A, Schilling KG, Gaynor LS, Choi SE, Lee ML, Scollard P, Trittschuh EH, Mukherjee S, Mez J, Dumitrescu LC, Landman BA, Crane PK, Cuccaro ML, Hohman TJ, Archer DB.   +16 more
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Robust Analysis of Covariance

Biometrics, 1982
The simple analysis of covariance situation with two groups and one concomitant variable is considered. The parameters of this model with outliers present are estimated by the methods of at least squares and M-estimation. By use of simulation, several forms of M-estimators are compared with the least squares method.
Birch, Jeffrey B., Myers, Raymond H.
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Adjusting for demographic covariates by the analysis of covariance

Journal of Clinical and Experimental Neuropsychology, 1992
(1992). Adjusting for demographic covariates by the analysis of covariance. Journal of Clinical and Experimental Neuropsychology: Vol. 14, No. 6, pp. 981-982.
N C, Berman, S W, Greenhouse
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