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1 ibution expected from living polymerization (Poisson distribution).
2 ming that the number of inhaled spores has a Poisson distribution.
3 tenofovir alafenamide was estimated using a Poisson distribution.
4 sensitivity due to sampling error following Poisson distribution.
5 % confidence interval (CI) constructed using Poisson distribution.
6 occurrences per year), calculated using the Poisson distribution.
7 sing a latent variable representation of the Poisson distribution.
8 a generalized linear mixed model assuming a Poisson distribution.
9 assuming the number of episodes followed the Poisson distribution.
10 DNA-grafted particle populations following a Poisson distribution.
11 ays of follow-up in each interval assuming a Poisson distribution.
12 ed over a given time (10 and 20 s) follows a Poisson distribution.
13 es were calculated under the assumption of a Poisson distribution.
14 the candidate regions are assumed to follow Poisson distribution.
15 intervals (CIs) were calculated based on the Poisson distribution.
16 the controls are implemented using a random Poisson distribution.
17 confidence intervals were estimated using a Poisson distribution.
18 f lesions gave 4-fold higher variance than a Poisson distribution.
19 s adsorbed to each QD is well-described by a Poisson distribution.
20 ts will occur at constant rate as given by a Poisson distribution.
21 uggests that neural responses might follow a Poisson distribution.
22 ntained within each genomic region follows a Poisson distribution.
23 bacterial pathogens are distributed within a Poisson distribution.
24 US and CT requests showed Poisson distribution.
25 ber of crossovers was approximated well by a Poisson distribution.
26 lly homogeneous region vary according to the Poisson distribution.
27 find that the distribution closely matches a Poisson distribution.
28 and these event clusters are shown to fit a Poisson distribution.
29 ys agree, despite the discrete nature of the Poisson distribution.
30 mpetitive dilution, a new model based on the Poisson distribution.
31 f the study period, with the assumption of a Poisson distribution.
32 were calculated using exact methods with the Poisson distribution.
33 of RNA sequencing has been assumed to follow Poisson distributions.
34 on time, which fits the isotopic manifold to Poisson distributions.
36 e used generalized linear models, assuming a Poisson distribution and log link function, with single-
41 maximization (EM) algorithm with mixtures of Poisson distributions and incorporates cytogenetic infor
42 models non-expressed genes by zero-inflated Poisson distributions and models expressed genes by trun
43 cal Master Equations for GRNs as mixtures of Poisson distributions and obtain explicit formulas for t
44 Partitions capture analytes according to a Poisson distribution, and in diagnostics, the analyte co
45 Generalized linear models with log link, Poisson distributions, and robust standard errors were u
46 as heritability of traits with binomial and Poisson distributions are special cases of our expressio
48 origin of this error is not a result of the Poisson distribution, as is often stated, but is entirel
50 ns and furans, which follow SOT based on the Poisson distribution, but not for polychloronaphthalenes
51 ctuations were deconvoluted by assuming that Poisson distributions characterize the molecular occupat
52 ividual amplification events to the expected Poisson distribution confirmed that the device could rel
53 e normalization of read counts to a compound Poisson distribution empirically derived from UMI datase
54 HPV infections conformed to an overdispersed Poisson distribution, even after correction for known ri
55 ure components are modeled by a multivariate Poisson distribution for a count trait expressed in mult
60 aged CAT coding strand was calculated by the Poisson distribution for various times of UV-irradiation
62 the inaccuracy in AEB due to deviations from Poisson distribution in a digital ELISA for Abeta-40 by
63 als acquired with fast ADC follow a compound Poisson distribution in which the Poisson-distributed ar
64 aggregation through proposing an independent Poisson distribution (IPD) particularly at each individu
65 ditional broadening of the PCH compared to a Poisson distribution is due to fluorescence intensity fl
67 Geneva (Switzerland) and found that a quasi-Poisson distribution is the most suitable sampling distr
70 Despite this possible shortcoming, the beta-Poisson distribution may still be of interest in the con
71 /degradation ratio calculation is based on a Poisson distribution model that is designed to support h
72 case of this model, as is the zero-inflated Poisson distribution obtained by combining a Poisson-dis
73 oth old (Alu S and J) and young (Ya5), had a Poisson distribution of A-tail lengths with a mean size
74 ugh this model reproduces the apparently non-Poisson distribution of correspondence delays, its inter
75 show that this phenomenon can arise from the Poisson distribution of low populations of microscale de
76 rs present, we demonstrate a self-consistent Poisson distribution of molecular occupancy for well-sol
78 ted or founder viruses generally exhibited a Poisson distribution of mutations and star-like phylogen
79 that error-prone PCR produces a broader non-Poisson distribution of mutations consistent with a deta
81 luctuations in cones could be explained by a Poisson distribution of photoisomerizations within a poo
82 hromatography (PTGC) is shown to produce the Poisson distribution of retention times often postulated
83 on temperature in PTGC is shown to produce a Poisson distribution of retention times that is statisti
84 opulation codes based on neurons that have a Poisson distribution of spike probabilities, the behavio
85 eams form by a Poisson process and produce a Poisson distribution of team sizes in which larger teams
86 spatial correlations resulting from the sub-Poisson distribution of the spacing between topological
87 e dose-response plot analysis, evaluation of Poisson distributions of precursor and products, and det
88 lap Score calculator), which was modified on Poisson distribution (one of 7 models) to avoid its disa
92 resources were estimated using zero-inflated Poisson distribution regression models adjusted for pati
93 shed that, for thermo-oxidative degradation, Poisson distribution represented a very successful appro
94 lations indicate that the deviation from the Poisson distribution results in a bias of around 5 % for
95 ng 100 percent positive partitions, with the Poisson distribution showing that an average of only 3 m
97 he well intensity frequency distribution and Poisson distribution statistics were used to count the p
98 use number vs. interval size plots can fit a Poisson distribution such that the largest number of int
99 ted with suboptimal MI values approximated a Poisson distribution, suggesting that MI captures biolog
100 o be available, but rather than assuming the Poisson distribution the more general Conway-Maxwell-Poi
101 hes on the main stems of poplar hybrids by a Poisson distribution, the new model was applied to map Q
102 be a new method for defining CISs based on a Poisson distribution, the Poisson Regression Insertion M
103 se the distribution deviates slightly from a Poisson distribution, the stamping machine is not perfec
104 populated recipients was explained using the Poisson distribution to calculate donor percentages in a
105 ts model (shared frailty-type model) using a Poisson distribution to calculate hazard ratios to compa
106 ussian-distributed data, our method uses the Poisson distribution to capture the count nature of the
108 built around natural assumptions such as the Poisson distribution to model the noise in the count dat
110 m acceptor incorporation into the micelle, a Poisson distribution was used to calculate the distribut
111 A proportional hazards frailty model using a Poisson distribution was used to estimate incidence rate
113 dized incidence rate ratios (IRRs) using the Poisson distribution were calculated comparing STEMI rat
114 ndardised Mortality Ratio (SMR) based on the Poisson distribution were calculated using three propose
115 Independence estimating equations with a Poisson distribution were used to assess the effect of p
116 data obeys different types of cell-specific Poisson distributions when jointly considering both biol
117 ate constants for the first decay followed a Poisson distribution, whereas rate constants for the sec
118 shed experiments than estimates based on the Poisson distribution, which implicitly assumes a single
119 Results indicate some deviation from the Poisson distribution, which is strongest for the virulen
120 very low probability and well-described by a Poisson distribution whilst similar MEPP(f) increases me
121 ng that the counts between two loci follow a Poisson distribution whose intensity decreases with the
122 in DSD models to those not enrolled, using a Poisson distribution with an identity link function.
123 em assume that the count phenotype follows a Poisson distribution with appropriate techniques being a
125 yzed using a generalized linear mixed model (Poisson distribution) with the center and center by peri
126 ber density of the streaks is described by a Poisson distribution, with an average thickness of appro
127 l and non-pyramidal neurons did not follow a Poisson distribution within the neuropil of control pati