Results 141 to 150 of about 908 (194)

Health risks and genetic architecture of objectively measured multidimensional sleep health. [PDF]

Nat Commun
Zhang S, Zhang M, Yuan Y, Li Z, Li X, Li X.   +5 more
europepmc   +1 more source

Robust meta-analysis of biobank-based genome-wide association studies with unbalanced binary phenotypes. [PDF]

Genet Epidemiol, 2019
Dey R, Nielsen JB, Fritsche LG, Zhou W, Zhu H, Willer CJ, Lee S.   +6 more
europepmc   +1 more source

Genome-wide association study identifies human genetic variants associated with fatal outcome from Lassa fever. [PDF]

Nat Microbiol
Kotliar D, Raju S, Tabrizi S, Odia I, Goba A, Momoh M, Sandi JD, Nair P, Phelan E, Tariyal R, Eromon PE, Mehta S, Robles-Sikisaka R, Siddle KJ, Stremlau M, Jalloh S, Gire SK, Winnicki S, Chak B, Schaffner SF, Pauthner M, Karlsson EK, Chapin SR, Kennedy SG, Branco LM, Kanneh L, Vitti JJ, Broodie N, Gladden-Young A, Omoniwa O, Jiang PP, Yozwiak N, Heuklom S, Moses LM, Akpede GO, Asogun DA, Rubins K, Kales S, Happi AN, Iruolagbe CO, Dic-Ijiewere M, Iraoyah K, Osazuwa OO, Okonkwo AK, Kunz S, McCormick JB, Khan SH, Honko AN, Lander ES, Oldstone MBA, Hensley L, Folarin OA, Okogbenin SA, Günther S, Ollila HM, Tewhey R, Okokhere PO, Schieffelin JS, Andersen KG, Reilly SK, Grant DS, Garry RF, Barnes KG, Happi CT, Sabeti PC.   +64 more
europepmc   +1 more source

Dietary Sodium-Potassium Imbalance and Hypertension: Causal Pathways Involving Gut Microbiota Dysbiosis, Inflammation, and Metabolic Disorders. [PDF]

Rev Cardiovasc Med
Lu C, Sun J, Zhang Y, Zhao X.
europepmc   +1 more source

Structural variants linked to Alzheimer's disease and other common age-related clinical and neuropathologic traits. [PDF]

Genome Med
Vialle RA, de Paiva Lopes K, Li Y, Ng B, Schneider JA, Buchman AS, Wang Y, Farfel JM, Barnes LL, Wingo AP, Wingo TS, Seyfried NT, De Jager PL, Gaiteri C, Tasaki S, Bennett DA.   +15 more
europepmc   +1 more source

SAIGE-GPU: accelerating genome- and phenome-wide association studies using GPUs. [PDF]

Bioinformatics
Rodriguez A, Kim Y, Nandi TN, Keat K, Kumar R, Conery M, Bhukar R, Liu M, Hessington J, Maheshwari K, VA Million Veteran Program , Begoli E, Tourassi G, Muralidhar S, Natarajan P, Voight BF, Cho K, Gaziano JM, Damrauer SM, Liao KP, Zhou W, Huffman JE, Verma A, Madduri RK.   +23 more
europepmc   +1 more source

Unveiling causal links between serum amino acid levels and risk of hepatobiliary neoplasms by Mendelian randomization study. [PDF]

Medicine (Baltimore)
Zhai A, Ren L, Zhong Y, Zou R, Yang S, Jin Y, Hu H, Li F.   +7 more
europepmc   +1 more source

Saddlepoint approximations for expectations

, 2011
X. Huang, C.W. Oosterlee (Kees)
openaire   +1 more source

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Inverting a saddlepoint approximation

Statistics and Probability Letters, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jorge M Arevalillo
exaly   +2 more sources

Detection in Sensor Networks: The Saddlepoint Approximation

IEEE Transactions on Signal Processing, 2007
This paper presents a computationally simple and accurate method to compute the error probabilities in decentralized detection in sensor networks. The cost of the direct computation of these probabilities-e.g., the probability of false alarm, the probability of a miss, or the average error probability-is combinatorial in the number of sensors and ...
Saeed A. Aldosari, José M. F. Moura
openaire   +2 more sources