Results 271 to 280 of about 6,035,490 (336)

Integrative Mendelian randomization for detecting exposure-by-group interactions using group-specific and combined summary statistics. [PDF]

PLoS Genet
Xu K, Maydanchik N, Kang B, Chen J, Chen Q, Xu G, Tasaki S, Bennett DA, Chen LS.   +8 more
europepmc   +1 more source

Rheumatoid arthritis and risk of lung diseases in East Asians and Europeans: Evidence from a Mendelian randomization study. [PDF]

SAGE Open Med
Zhang S, Huang X, Huang M, Peng X, Cao Q, Lan Y.   +5 more
europepmc   +1 more source

Causal Relationship Between Galectins With Neuroblastoma: A Mendelian Randomization Study. [PDF]

Mol Neurobiol
Long C, Liang P, Liu X, Wang Y.
europepmc   +1 more source

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Biased Randomization of Classical Heuristics

, 2014
A. Juan, José Cáceres-Cruz, Sergio González-Martín, D. Riera, Barry B. Barrios   +4 more
semanticscholar   +2 more sources

Biased random walks

Combinatorica, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Azar, Yossi, Broder, Andrei Z., Karlin, Anna R., Linial, Nathan, Phillips, Steven   +4 more
openaire   +1 more source

Randomization

Randomization, Bootstrap and Monte Carlo Methods in Biology, 2020
There are three aspects of randomization in statistics that are considered here. The first aspect is randomization as part of a sampling design to estimate one or more parameters for a statistical population such as all the farms in a certain area of a ...
B. Manly
semanticscholar   +1 more source

Scaling in biased random walks

Physical Review B, 1985
We discuss the scaling of the statistics of a biased random walk. In the well-known model, a walk has probability p per step of stepping away from the direction of its last step. For a walk of N steps, such chains have persistence lengths ${p}^{\mathrm{\ensuremath{-}}1}$. We are interested in the crossover from straight-chain to random-walk behavior in
, Halley, , Nakanishi, , Sundararajan
openaire   +2 more sources

Biased random walk on networks

Physical Review A, 1987
A method for calculating properties of biased random walks on nontrivial networks is described. It is a generalization of a method previously developed by the authors for unbiased walks. The essence of the method is the identification of certain basic types of walks.
, Goldhirsch, , Gefen
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Biased random walk on a biased random walk

Physica A: Statistical Mechanics and its Applications, 1991
Abstract We consider the random walk of a particle along topologically linear channels under the influence of a uniform drift force. The channels are generated by the usual biased random walk procedure. The resulting mean- and mean-square displacements of a particle are discussed.
openaire   +1 more source

Size–biased random closed sets

Pattern Recognition, 1999
We indicate how granulometries may be useful in the analysis of random sets. We define a suitable size distribution function as a tool in exploratory data analysis and give a new Hanisch style estimator for it. New Markov random sets are constructed which favour certain sizes above others.
openaire   +2 more sources