ライフサイエンスコーパス: additive model

1 nificance (P = 1.5 x 10(-13) for rs12777823, additive model).

2 0.003 and p = 0.04, respectively, using the additive model).

3 ff above 60% coverage (p < 0.01; generalized additive models).

4 34) after adjustment for covariates under an additive model.

5 trends, and day of week using a generalized additive model.

6 risk for a variant SNP allele based on a log-additive model.

7 d percent fat mass was investigated under an additive model.

8 ingle-nucleotide polymorphism (SNP) using an additive model.

9 interval 1.10 to 1.56, P=0.002), assuming an additive model.

10 t PD (age > 59 years) were a recessive or an additive model.

11 e, generalized linear model, and generalized additive model.

12 variation for foliage and tuber blight on an additive model.

13 ts a significantly higher V (G) than does an additive model.

14 and 6 (MLS = 0.61 at 112.5 cM), all under an additive model.

15 locus and multiplicative models than for the additive model.

16 .6 +/- 0.4 kJ/mol) when considering a simple additive model.

17 tion in soybean and function in line with an additive model.

18 t climates were examined using a generalized additive model.

19 ned using penalized splines within a general additive model.

20 assessed using log-linear analyses under an additive model.

21 an allelic model, with similar results in an additive model.

22 inations was analyzed by using a generalized additive model.

23 between each SNP and each phenotype under an additive model.

24 4.0%; celiac disease, 4.1%) beyond a simple additive model.

25 AAs; this relationship appears to follow an additive model.

26 ubstantially better goodness of fit than the additive model.

27 ion single nucleotide polymorphisms using an additive model.

28 cancer risk allele for each SNP under a log-additive model.

29 deled baseline mortality using a generalized additive model.

30 ect cannot be approximated adequately by the additive model.

31 in ADCYAP1R1 (rs2267735) and asthma under an additive model.

32 ing stepwise model selection and generalized additive models.

33 , and half require more than five loci under additive models.

34 s, corresponding to dominant, recessive, and additive models.

35 ariation between traits that are not seen in additive models.

36 using change-score analysis and generalized additive models.

37 ctors than observations for both, linear and additive models.

38 r combined exposures under multiplicative or additive models.

39 covariate model with the aid of generalized additive modeling.

40 3.1 ms higher versus CC; 1-sided P=0.04) or additive model (0.06 SD [SE, 0.03] or 1.6 ms higher per

41 wide significance level [odds ratio (OR) for additive model = 1.61, 95%CI, 1.36-1.91, P = 3.2 x 10(-8

42 h overall HCC (odds ratio [OR] per G allele, additive model=1.77; 95% confidence interval [CI]: 1.42-

43 Generalized additive models, a type of semiparametric regression mod

44 Thus, a simple additive model accurately predicts flowering time for ma

45 ducted separately in each sample assuming an additive model adjusted for age, sex and relatedness of

46 In generalized additive models adjusted for patient, procedure, and ant

47 s was performed on whites for each SNP in an additive model adjusting for baseline BP, age, sex, and

48 a combined meta-analysis under recessive and additive models after adjusting for age, sex, body mass

49 alence) using this marker were 1.37 under an additive model and 1.36 under a multiplicative model.

50 different from those predicted from a purely additive model and could even aid adaptation.

51 The generalized additive model and logistic regression were used to dete

52 resistance were evaluated using generalized additive models and Fisher exact tests.

53 The results were analyzed using generalized additive models and logistic regression, adjusting for r

54 Generalized additive models and segmented regression analysis were u

55 homozygotes, assuming a multiplicative (log-additive) model and attributable fraction of 25% (95% CI

56 ded in an association analysis at 7 951 614 (additive model) and 4 669 537 (genotypic model) loci.

57 Descriptive analysis, generalized additive models, and alternating logistic regression mod

58 Partial Spearman's correlation, generalized additive models, and receiver operating characteristic (

59 hat of the two homozygotes); (2) 6 two-locus additive models; and (3) 16 two-locus heterogeneity mode

60 Risk prediction evaluation identified the additive model as best for describing the effect of APOE

61 arly focusing on the limitations of existing additive models based on small molecule data.

62 Derivations of additive models by least-squares and ridge-regression me

63 Therefore, additive models can be very useful for the discovery and

64 ein can identify cases where an independent, additive model cannot be applied and so require addition

65 pared association tests based on a biallelic additive model constraining the effect of a single-nucle

66 Generalized additive models demonstrated an association between the

67 h systolic and diastolic BP when a two-locus additive model developed for ACE concentration was used.

68 Our main aim is to compare the additive model, due to Mesterton-Gibbons, and the multip

69 Nonlinear generalized additive models examined the association between timing

70 biomass burning, as detected by generalized additive models fitted to seven pollen and charcoal reco

71 ooled (P = 0.0010-0.00099) samples under the additive model, following correction for multiple testin

72 We used 2-way mixed linear regression and an additive model for all primary analyses.

73 ve, which verifies the practice of using the additive model for analyzing SNP effects on metabolites.

74 ficients of the log-length correction in the additive model for arbitrary sequences and lengths and (

75 Analysis of these two with an additive model for beta(J)(=1) and beta(J)(=3) reveals a

76 Finally, we demonstrate that an additive model for these APOE variants is superior to ot

77 We fit generalized additive models for associations between pollutant expos

78 VarWalker fits generalized additive models for each sample based on sample-specific

79 tion accuracy, significantly higher than the additive models for either HILIC or RPLC.

80 ls from 7 cohorts, which were analyzed using additive models for epsilon2 and epsilon4.

81 demonstrate how one can use the generalized additive models for location, scale and shape (GAMLSS) d

82 Generalized additive models for location, scale, and shape were used

83 mograms were estimated by use of generalized additive models for location, shape, and scale with Box-

84 s were detected following reanalysis with an additive model (for example, for birth weight, beta = 20

85 ear models (for climate PC1) and generalized additive models (for biology PC1-2) invoking only the cl

86 Two statistical models,a general additive model (GAM) and GAMBOOST model with boosted reg

87 obal climate model, and create a generalized additive model (GAM) to examine how future changes in te

88 We used a generalized additive model (GAM) to identify significant change poin

89 ic (ROC) curves and multivariate generalized additive model (GAM) were applied to predict outcomes.

90 A generalized additive modelling (GAM) approach is used to describe th

91 We also fitted generalized additive models (GAM) and performed two-objective optimi

92 The widely used generalized additive models (GAM) method is a flexible and effective

93 Based on Generalized additive models (GAM), the proportional influence of reg

94 linear regression and nonlinear generalized additive models (GAMs) to estimate on-road concentration

95 Non-linear generalized additive models (GAMs) were used to evaluate the influen

96 t 333 sampling sites by means of generalized additive models (GAMs).

97 y the same role) the predictions differ: the additive model has the same predictions as in the random

98 MELD >/=28 was higher than predicted by the additive model (HR=2.38, 95% CI 1.73-3.27, P<0.001) resu

99 anges in ACTN3 expression consistent with an additive model in the human genotype-tissue expression c

100 (95% CI, 0.90 to 1.37; P=0.35), assuming an additive model in the matched analysis.

101 The data support an additive model in which individuals heterozygous for the

102 In a generalized additive model in which the authors accounted for long-t

103 in cation/pi interactions is captured by an additive model in which the substituent is isolated from

104 plotype GC1s) was overtransmitted (P = 0.02, additive model) in the entire Boston cohort, in Whites (

105 An additive model, in which a chemical change in the struct

106 was assessed by linear regression, using an additive model, in which absolute change in the Disease

107 An additive model (incorporating the contributions of all 2

108 uman skeletal muscle, but we suggest that an additive model is the most appropriate for use in testin

109 D = 1.74; P=.024), compared with a two-locus additive model (LOD = 0.90).

110 lues are factorized as a product between the additive model matrix and the h - 1 additive effects, an

111 e.g. maximum likelihood methods, generalized additive models, nonparametric kernel density estimators

112 CI], 1.82 to 3.26; P=1.42x10(-9); and in the additive model: odds ratio, 2.19; 95% CI, 1.66 to 2.90;

113 Titration experiments indicate an additive model of HIPK3-T splicing activation, requiring

114 Quantitative trait analysis with the additive model of inheritance was analyzed using linear

115 although the TDT can perform better under an additive model of inheritance.

116 A physically motivated, nonpairwise-additive model of water-mediated interactions added to a

117 tivariate system, assuming an infinitesimal, additive, model of inheritance.

118 curve during an oral glucose tolerance test (additive model, P = 0.022; dominant model, P = 0.010).

119 R8 rs3764880-G (recessive model: p = 0.0173; additive model: p = 0.0161) were associated with pericar

120 cted mortality under medical treatment, with additive model predictive value (all, p </= 0.04) and a

121 by proportional hazards using a generalized additive models procedure.

122 An additive model, rather than a multiplicative or contrast

123 We also note that, under dominant and additive models, regardless of the statistic used, pedig

124 Generalized additive models revealed that long-term increase in Vibr

125 Multivariable generalized additive models showed that RTL did not differ between c

126 Predictions from the additive model significantly overshot the actual respons

127 Data were analyzed with generalized additive models (smoothing).

128 An additive model specifies that the disutility of costs is

129 Generalized additive models supported a linear association between e

130 ted SAR cases was analysed using generalized additive models, taking into account confounding factors

131 Instead, the data support an additive model that best captures abnormal neural patter

132 Using a generalized additive model that controlled for season, region, and l

133 While in additive models the mutational covariance matrix is alwa

134 By using a linear additive model, these 4 TH1 pathway SNPs cumulatively ex

135 ndard deviations were detected; but under an additive model, these did not fully account for the obse

136 ical content on temperature is improved over additive models, though further sampling is required to

137 nalysis because current methods often use an additive model to analyze data.

138 ate holistic system indicator variables, non-additive modelling to estimate alternate attractors, and

139 rmed a retrospective study using generalized additive models to analyze three major livestock populat

140 As a first approach, we use additive models to analyze two independent data sets (n

141 We used generalised additive models to evaluate the quantitative relation be

142 x proportional hazard models and generalized additive models to examine multivariable-adjusted associ

143 We used generalized additive models to examine the dose-response curve using

144 of field observations in the North Sea with additive models to infer spatiotemporal trends of chloro

145 d gene coexpression networks and generalized additive models to predict effects on reproduction in th

146 Under various recessive and additive models, TRANSMIT was slightly more powerful tha

147 lies on the use of Time-Varying Group Sparse Additive Models (TV-GroupSpAM) for high-dimensional, fun

148 Using the additive model, two tightly linked functional SNPs in ER

149 The validity of the additive model used in this analysis can be tested by de

150 ation studies on AWT were performed under an additive model using linear regression (adjusted for pac

151 d glaucoma was obtained with the generalized additive model using only three parameters (AROC = 0.854

152 est evidence of an FcgammaR-SLE association (additive model: V/V 176 versus V/F 176 OR 1.51, V/V 176

153 T. aestivum gene expression was compared to additive model values (mid-parent) calculated from paren

154 justed hazard ratio for each L allele in the additive model was 1.91 (1.20 to 3.06; P=0.01) for the r

155 ariance analysis indicated that a completely additive model was adequate to explain the variances obs

156 with fixed-effects meta-analysis assuming an additive model was used to test for associations.

157 Using the same covariates in a generalized additive model, we examined the shape of the relationshi

158 s of 272 UM cases and 1782 controls using an additive model, we identified five variants significantl

159 In unadjusted generalized additive models, we observed a significant nonlinear rel

160 ographic and Health Surveys with generalized additive models, we quantify spatial patterns of measles

161 nfidence intervals) for each L allele in the additive model were 1.99 (1.27 to 3.14; P=0.003) for the

162 Synergistic interactions on the additive model were observed between heavy alcohol consu

163 Generalized additive models were used to estimate the amount of wate

164 Generalized additive models were used to estimate the association be

165 Generalized additive models were used to estimate the variation in s

166 tivariate linear, piecewise, and generalized additive models were used to examine dose-response relat

167 Nonlinear generalized additive models were used to examine the association bet

168 Generalized additive models were used to examine the relationship be

169 Generalized additive models were used to identify structure in the r

170 nal study of 357 Yup'ik Eskimos, generalized additive models were used to plot covariate-adjusted ass

171 Generalized additive models were used to predict ASD odds across the

172 Generalized additive models were used to regress time series of dail

173 Adjusted generalized additive models were used to smooth the association of p

174 Generalized additive models were used to test for threshold effects.

175 08 on 20p (location, chi = 19.5 cM) under an additive model, whereas the weighted MLS was 2.06 on 20q

176 An additive model, whereby fat is added to the waist and hi

177 polymorphisms (SNPs) and expression under an additive model, which ignores interaction and haplotypic

178 proportional hazards model and a generalized additive model with a logistic link.

179 Cox proportional hazards regression under an additive model with adjustment for age at onset, sex, an

180 A two-locus additive model with an additive x additive interaction o

181 The accuracy of a simple additive model with peptide length correction (R(2) valu

182 APOL1 risk alleles were associated under an additive model with systolic blood pressure (SBP) and ag

183 tistic is increased by >20%, on average, for additive models with modest genotype relative risks.

184 present study, the authors used generalized additive models with nonparametric smoothing splines to

185 ted to trait and state anxiety using general additive models with penalized splines, while controllin

186 Logistic regression models and generalized additive models with thin-plate splines were fit to the