ライフサイエンスコーパス: Bayesian analysis

1 superiority equaled 0.998, calculated using bayesian analysis).

2 d by animal breeders for likelihood-based or Bayesian analysis.

3 r clinical accuracy and usefulness by use of Bayesian analysis.

4 s, and corroboration of results by a blinded Bayesian analysis.

5 sults that were consistent with those of the Bayesian analysis.

6 utcomes were evaluated using frequentist and Bayesian analysis.

7 tly better than those predicted by using the Bayesian analysis.

8 gs, and these were used as the basis for the Bayesian analysis.

9 to treat and 95% credible intervals for the Bayesian analysis.

10 4 in the control group (adjusted difference [Bayesian analysis], 2.0 points; 95% credible interval, 1

11 By using Bayesian analysis, a mathematical algorithm is proposed

12 laser dispersion spectrometer combined with Bayesian analysis algorithms using Monte Carlo Markov Ch

13 spectral analysis of ancestry; and empirical Bayesian analysis along with Gaussian spatial processes

14 The Bayesian analysis also provides a highly reliable and bi

15 Both a post hoc Bayesian analysis and a mixed logistic regression analys

16 proaches to clinical trial analysis, such as Bayesian analysis and assessing heterogeneity in the res

17 Using hierarchical Bayesian analysis and density-dependent population model

18 igers from 14 countries and regions by using Bayesian analysis and diagnostic genetic markers defined

19 will now form the basis for a comprehensive Bayesian analysis and extension of the model considering

20 pean areas (F(CT) =0.155) were identified by Bayesian analysis and supported by regional pairwise F(C

21 This problem can be resolved through Bayesian analysis and tools such as approximate Bayesian

22 It can perform either maximum-likelihood or Bayesian analysis, and accomodates nucleotide sequence,

23 Applying a Bayesian analysis approach throughout enabled us to find

24 We developed a Bayesian analysis approach to examine the effects of man

25 ing a combination of classic Frequentist and Bayesian analysis approaches showed no additional benefi

26 A Bayesian analysis based on computer simulation allows in

27 s suggests that the posterior probability in Bayesian analysis can be excessively high as an indicati

28 r simulation that posterior probabilities in Bayesian analysis can be excessively liberal when concat

29 Informative priors in a Bayesian analysis can reduce posterior uncertainty; howe

30 With Bayesian analysis, clinical criteria and genotype can be

31 Bayesian analysis combines previous information (represe

32 Bayesian analysis, considering the small sample size, re

33 e polymer everolimus-eluting stent was 100% (Bayesian analysis, difference in target lesion failure f

34 On Bayesian analysis, early cholecystectomy has a 99% proba

35 lear sequence data using neutrality test and Bayesian analysis (EBSP and ABC).

36 e space from Markov chain Monte Carlo (MCMC) Bayesian analysis, efficiently computing approximately f

37 The Bayesian analysis estimated a smaller treatment effect t

38 Bayesian analysis estimates 89% probability that PVI red

39 tality [95% credible intervals] estimated by Bayesian analysis for the treatment group was 73.4% [71.

40 in the surgery group (95% credible interval [Bayesian analysis] for difference, -5.2 to 2.3%; posteri

41 The Bayesian analysis found a 98.4% belief for natamycin tre

42 Additional Bayesian analysis found a very high probability of a TAR

43 Here we develop and employ a new Bayesian analysis framework that exploits the hierarchic

44 utation carriers of the same kindred using a Bayesian analysis framework.

45 tions were compared to exposures inferred by Bayesian analysis from urine concentrations for 82 chemi

46 The results of our Bayesian analysis identify targets for interventions aim

47 as not significant (P = 0.104; R(2) = 0.65), Bayesian analysis in STRUCTURE and discriminant analysis

48 Bayesian analysis in which the trial data were combined

49 The Bayesian analysis included four different priors (optimi

50 The Bayesian analysis includes the number of QTLs on a chrom

51 The advent of modern computing has made Bayesian analysis increasingly accessible, enabling grow

52 Bayesian analysis indicated anecdotal to moderate suppor

53 A multistate Bayesian analysis indicated that exercise was associated

54 By contrast, Bayesian analysis indicated that gambling decisions were

55 The prespecified Bayesian analysis indicated that this event distribution

56 These examples illustrate how Bayesian analysis integrates new trial information with

57 the remaining doors in "Let's Make A Deal." Bayesian analysis is a key feature of many medical decis

58 Although the true dose is unknown, Bayesian analysis is assumed to provide information on t

59 Bayesian analysis is firmly grounded in the science of p

60 ches as judged by posterior probabilities in Bayesian analysis is generally higher than that as judge

61 Bayesian analysis is one of the most popular methods in

62 Bayesian analysis (likelihood ratios derived from a lite

63 Employing these results in a bayesian analysis may provide a novel statistical test t

64 Here, we introduce a Bayesian analysis method allowing for the accurate infer

65 tholog sequences with ClustalX, and applying Bayesian analysis (MrBayes).

66 Population structure was estimated using a Bayesian analysis of 141 simple sequence repeat (SSR) lo

67 apply this phylogenetic Hawkes process to a Bayesian analysis of 23 421 viral cases from the 2014 to

68 A Bayesian analysis of 284,001 conserved noncoding element

69 Bayesian analysis of 328 VP7 genes of G2 viruses isolate

70 SETTING, AND PARTICIPANTS: This study was a bayesian analysis of a clinical trial comparing the effi

71 imaquine-induced haemolysis using a holistic Bayesian analysis of all published data and was used to

72 All four follow from joint, Bayesian analysis of all the data at each temperature.

73 Bayesian analysis of amino acid variation for all availa

74 Bayesian analysis of brain responses demonstrated that c

75 Bayesian analysis of clinical utility showed only modera

76 ineteen paternal lineages were defined and a Bayesian analysis of coalescent simulations was performe

77 ined a framework that can be used to perform Bayesian analysis of complex systems biology models.

78 propose a novel Bayesian framework (BAnOCC: Bayesian Analysis of Compositional Covariance) to estima

79 s each kernel's major and minor axis after a Bayesian analysis of contour points identifies the kerne

80 statistically principled in silico approach, Bayesian Analysis of COpy number Mixtures (BACOM), to ac

81 data analysis was performed with the BACUS (Bayesian analysis of coupled unassigned spins) algorithm

82 Bayesian analysis of current RVF virus genetic diversity

83 imated these quantities using a hierarchical Bayesian analysis of data from a test-negative study des

84 We present Hierarchical Bayesian Analysis of Differential Expression and ALterna

85 Furthermore, a bayesian analysis of divergence ages for Malagasy carniv

86 To address this question, we used integrated Bayesian analysis of diverse functional genomic data to

87 Here we use hierarchical approximate Bayesian analysis of DNA sequence data for 12 herbivores

88 In this study, we perform a Bayesian analysis of five models entailing different hyp

89 We offer BAGEL (Bayesian Analysis of Gene EssentiaLity), a supervised le

90 ridizations throughout a time course using a Bayesian analysis of gene expression level.

91 We propose a novel computational method, Bayesian Analysis of Gene Set Enrichment (BAGSE), for ge

92 ylogenetic analysis of HIV pol sequences and Bayesian analysis of genetic distances between pol seque

93 Statistical Model: We propose an integrative Bayesian analysis of genomics data (iBAG) framework for

94 Furthermore, Bayesian analysis of images collected during the photobl

95 Here, using a hierarchical Bayesian analysis of instrumental, tree-ring, ice-core a

96 A Bayesian analysis of intraspecific taxon ages indicates

97 eractions, and we outline best practices for Bayesian analysis of ITC experiments.

98 port our fieldwork at this iconic site and a Bayesian analysis of legacy radiocarbon data, which nuan

99 Bayesian analysis of longitudinal data demonstrated larg

100 Bayesian analysis of macroevolutionary mixtures (BAMM) h

101 ntrinsic growth and abundance derived from a Bayesian analysis of mark-recapture data for 17 bird spe

102 A Bayesian analysis of measured spectra indicates that the

103 ing of QTL, built on top of R/qtl, providing Bayesian analysis of multiple interacting quantitative t

104 Using a Bayesian analysis of new ultrafiltered bone collagen dat

105 A Bayesian analysis of parameter uncertainty based on expe

106 Bayesian analysis of prior probability of association ba

107 A hierarchical Bayesian analysis of protein-coding region evolution wit

108 struction to between 1000 and 800 BC using a Bayesian analysis of radiocarbon dates.

109 Here we used a multilevel Bayesian analysis of range-wide survey data for Adelie p

110 Through Bayesian analysis of single-cell datasets with variation

111 BASiCS (Bayesian Analysis of Single-Cell Sequencing data) is an

112 ropose a hierarchical Bayesian model, BASIS (Bayesian Analysis of Splicing IsoformS), to infer the di

113 Here, we conducted a Bayesian analysis of stomatal conductance (g) (N=5013) f

114 Sequence alignment and phylogenetic Bayesian analysis of the Arabidopsis GAUT1-related gene

115 Our Bayesian analysis of the blinking and bleaching (3B anal

116 A primary Bayesian analysis of the difference in the proportion of

117 We conducted a Bayesian analysis of the entire TAILOR-PCI (Tailored Ant

118 's First Law, transition rates, and a global Bayesian analysis of the inhomogeneous solubility-diffus

119 ease and age-dependent mortality risks using Bayesian analysis of the life histories of wild European

120 r the separation according to the gene pool, bayesian analysis of the population structure showed a s

121 n this quality improvement study, a post hoc bayesian analysis of the PROPPR Trial found evidence in

122 ality improvement study performed a post hoc bayesian analysis of the PROPPR Trial using multiple hie

123 by assigning weights to each alignment with Bayesian analysis of the read distribution and alignment

124 The computer program performing the Bayesian analysis of the simulated data is available to

125 Bayesian analysis of the TAILOR-PCI trial provides clini

126 e association study (PheWAS) together with a Bayesian analysis of tree-structured phenotypic model (T

127 hese issues, we develop a novel approach for Bayesian Analysis of Untargeted Metabolomics data (BAUM)

128 We have developed a Bayesian analysis of variance (ANOVA) model that decompo

129 We propose a heterogeneous Bayesian analysis of variance model for inferring loci i

130 n, patient selection, outcome selection, and Bayesian analysis) of future TBI trials of glibenclamide

131 bability of coronary artery disease (CAD) by Bayesian analysis or who underwent cardiac catheterizati

132 This finding was based on a Bayesian analysis performed after 850 patients had reach

133 Bayesian analysis predicted ST45 originated in northwest

134 Bayesian analysis predicted that 3.8 g would result in a

135 The presented Bayesian analysis procedure provides an automated and ge

136 Here, we apply a previously developed Bayesian analysis procedure to ITIR-FCS data to resolve

137 ion and periodicity in outcome measurements, Bayesian analysis provides greater precision for small s

138 This Review presents a set of Bayesian analysis reporting guidelines (BARG).

139 Bayesian analysis represents uncertain knowledge of the

140 Bayesian analysis resulted in a best estimate of 86% of

141 This Bayesian analysis revealed the 'memory traces' of the ch

142 A Bayesian analysis reveals considerable evidential suppor

143 ulted in misspecification of the preapproved Bayesian analysis, reversal of direction of treatment ef

144 A bayesian analysis scheme was used for statistical analys

145 Using Bayesian analysis, sensitivity and specificity (87.0% an

146 The primary Bayesian analysis showed a 91.8% posterior probability t

147 A Bayesian analysis study was performed.

148 lation structure and use of F-statistics and Bayesian analysis suggest that the range expansion of th

149 For C. intestinalis, Bayesian analysis suggested a natural amphi-North Atlant

150 Bayesian analysis suggested a relatively high probabilit

151 l to hospital discharge, although a post hoc Bayesian analysis suggested a survival benefit (85% post

152 The Bayesian analysis suggests that natamycin is superior to

153 Bayesian analysis supported a possible difference in glo

154 programming code and data sets, to show how Bayesian analysis takes evidence from randomized clinica

155 I present a Bayesian analysis that is appropriate for discriminating

156 tworks.Measurements and Main Results: In the Bayesian analysis, the posterior probability that a peri

157 According to Bayesian analysis, the posterior probability that amputa

158 In the exploratory Bayesian analysis, the probability of a reduction in rei

159 In the Bayesian analysis, the probability that beta-blockers re

160 D (low likelihood [LLK]) based on sequential Bayesian analysis; these patients were used to generate

161 Here, we utilized Bayesian analysis through CRAFT as an alternative method

162 relocalisation with organelle proteomics and Bayesian analysis to define the content of different end

163 ervus elaphus nelsoni) and used hierarchical Bayesian analysis to estimate the specificity and sensit

164 his study demonstrates the unique ability of Bayesian analysis to evaluate results that contradict pr

165 We then utilized trans-ancestral Bayesian analysis to narrow down the location of the pro

166 h a priori distribution N(0,tau 2)], and use Bayesian analysis to obtain a posteriori distribution of

167 We use a hierarchical Bayesian analysis to quantify the amount of variation in

168 We did Bayesian analysis to show the posterior probability that

169 A Bayesian analysis tool was more accurate than significan

170 estimate treatment effects, with the primary Bayesian analysis using a minimally informative prior ce

171 Bayesian analysis using a neutral prior indicated a 76%

172 In this review, we demonstrate the power of Bayesian analysis using examples of visual responses of

173 A recently developed variational Bayesian analysis using pattern recognition and machine

174 lled PROC MCMC) is particularly designed for Bayesian analysis using the Markov chain Monte Carlo (MC

175 secondary analysis, we performed a post hoc Bayesian analysis using three different priors.

176 ighest OBS quartile versus the lowest in the Bayesian analysis was 0.50 (95% confidence interval: 0.4

177 for 48% (12 out of 25) of the data sets, the Bayesian analysis was necessary to reveal the complex ch

178 Bayesian analysis was performed to examine the single-nu

179 A Bayesian analysis was performed using the questionnaire

180 A Bayesian analysis was used to determine probability dist

181 Bayesian analysis was used to estimate the human coloniz

182 Using the Bayesian analysis, we are able to estimate the latent pe

183 Using Bayesian analysis, we characterize the cell-size-depende

184 isobaric mass spectrometry and hierarchical Bayesian analysis, we have quantified the responses of t

185 posteriori data-based, and weights based on Bayesian analysis) were created by combining 16 dietary

186 A), the largest to date, and then applying a Bayesian analysis which accommodates feature set uncerta

187 demanding methods are maximum likelihood and Bayesian analysis, which take account of the distributio

188 This end point was assessed using a Bayesian analysis with a predefined threshold of a poste

189 e predefined primary assessment of efficacy (Bayesian analysis with informative prior), we observed a

190 Bayesian analysis with neutral prior indicated 74% proba

191 By using Bayesian analysis with prior probability of expected pla

192 Using a tip-dated Bayesian analysis with sophisticated evolutionary models

193 r regression (LR), linear mixed model (LMM), Bayesian analysis with spike-slab priors (Bayes B) and l

194 The Bayesian analysis yielded comparable results, yet the as

195 The SIT data are interpreted via a Bayesian analysis, yielding local values of T1a, T1b, ka