ライフサイエンスコーパス: Bayesian analysis

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

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

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

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

5 4 in the control group (adjusted difference [Bayesian analysis], 2.0 points; 95% credible interval, 1

6 By using Bayesian analysis, a mathematical algorithm is proposed

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

8 The Bayesian analysis also provides a highly reliable and bi

9 Using hierarchical Bayesian analysis and density-dependent population model

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

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

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

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

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

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

16 A Bayesian analysis based on computer simulation allows in

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

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

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

20 With Bayesian analysis, clinical criteria and genotype can be

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

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

23 The Bayesian analysis estimated a smaller treatment effect t

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

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

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

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

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

29 Bayesian analysis in which the trial data were combined

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

31 A multistate Bayesian analysis indicated that exercise was associated

32 By contrast, Bayesian analysis indicated that gambling decisions were

33 The prespecified Bayesian analysis indicated that this event distribution

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

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

36 Bayesian analysis is firmly grounded in the science of p

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

38 Bayesian analysis is one of the most popular methods in

39 Bayesian analysis (likelihood ratios derived from a lite

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

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

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

43 Bayesian analysis of 328 VP7 genes of G2 viruses isolate

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

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

46 Bayesian analysis of amino acid variation for all availa

47 Bayesian analysis of clinical utility showed only modera

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

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

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

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

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

53 Bayesian analysis of current RVF virus genetic diversity

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

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

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

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

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

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

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

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

62 Furthermore, Bayesian analysis of images collected during the photobl

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

64 A Bayesian analysis of intraspecific taxon ages indicates

65 F approach has been implemented in the BALD (Bayesian analysis of LD differences) C++ software, and i

66 Bayesian analysis of macroevolutionary mixtures (BAMM) h

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

68 Using a Bayesian analysis of new ultrafiltered bone collagen dat

69 A Bayesian analysis of parameter uncertainty based on expe

70 Bayesian analysis of prior probability of association ba

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

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

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

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

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

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

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

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

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

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

81 Bayesian analysis predicted that 3.8 g would result in a

82 The presented Bayesian analysis procedure provides an automated and ge

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

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

85 Bayesian analysis represents uncertain knowledge of the

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

87 A Bayesian analysis reveals considerable evidential suppor

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

89 A Bayesian analysis study was performed.

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

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

92 Bayesian analysis suggested a relatively high probabilit

93 The Bayesian analysis suggests that natamycin is superior to

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

95 I present a Bayesian analysis that is appropriate for discriminating

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

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

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

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

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

101 We did Bayesian analysis to show the posterior probability that

102 A Bayesian analysis tool was more accurate than significan

103 Bayesian analysis using a neutral prior indicated a 76%

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

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

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

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

108 Bayesian analysis was performed to examine the single-nu

109 A Bayesian analysis was performed using the questionnaire

110 A Bayesian analysis was used to determine probability dist

111 Bayesian analysis was used to estimate the human coloniz

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

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

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

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

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

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

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