ライフサイエンスコーパス: regression equation

1 n of TPC was modeled by using a second-order regression equation.

2 centrations and dietary modifiers by using a regression equation.

3 n how volume is defined and entered into the regression equation.

4 /-SD of 3+/-1.5 of the variables entered the regression equation.

5 riability in heart rate was explained by the regression equation.

6 ing the observed summary statistics into the regression equation.

7 each patient based on a previously reported regression equation.

8 acid made a significant contribution to the regression equation.

9 l values of these tests can be computed from regression equations.

10 eled amounts were calculated with the use of regression equations.

11 lysis (CoMFA) prediction, to form predictive regression equations.

12 in separate path analyses by using logistic regression equations.

13 evere toxicity grade was estimated using the regression equations.

14 ly significant difference among sites in the regression equations.

15 Using the best-fitting multiple logistic regression equation, a 100-point increase in pAkt staini

16 The finding that the regression equation accounts for only 39% of the variabi

17 's comorbidity index, and length of CPB in a regression equation allowed for a prediction of postoper

18 estimated from SPECT HMR via a simple linear regression equation, allowing use of the new cardiac-ded

19 ofluid could be back-calculated based on the regression equation and response factor of KIC to KIC-d(

20 Using this regression equation and reverse prediction, we quantifie

21 f intervals) appeared most frequently in the regression equations and were the first or second variab

22 ratio with the use of a previously described regression equation, and the 95% confidence limits of ag

23 rly intervention strategies using a logistic regression equation based on this model for patient recr

24 Regression equations based on 3-5 descriptors are able t

25 The position of the HJC is determined from regression equations based on anthropometric measurement

26 Regression equations based on doubly labeled water measu

27 Regression equations, based on scutal index (body length

28 The linear regression equation between TSD (the dependent variable)

29 d effect modification was assessed in linear regression equations by modeling the product and margina

30 Pharmacogenetic algorithms based on regression equations can predict warfarin dose, but they

31 A regression equation containing the quantitative contribu

32 Regression equations correlating bioaccumulation (CL) an

33 The linear regression equation could be used in a clinical setting

34 arance from 24-h urine collection, and a new regression equation derived from the pilot study data.

35 We propose a range of new regression equations, derived from the largest dataset c

36 acute event were based on negative binomial regression equations estimated from the placebo arm of t

37 The resulting gender-specific regression equations explained about 40% of the variance

38 GFR (eGFR), where eGFR was estimated from a regression equation for GFR depending primarily on serum

39 The linear regression equation for predicted exercise capacity (in

40 The slope of the regression equation for REE and FFM was significantly gr

41 The regression equation for the lowest VE/CO2 output ratio w

42 Published regression equations for infants consistently gave highe

43 Regression equations for mortality rates for each cluste

44 Several REE regression equations for SCA were developed.

45 of appropriate descriptors to form accurate regression equations for the compounds under study.

46 4 to 16, were selected in two sets, and the regression equation formed with one set was used to pred

47 We developed a regression equation from 20 mixtures to predict the rate

48 By using the regression equation generated from this model, we could

49 The regression equations generated from the four calibration

50 hat made use of values based on the logistic regression equation had an area under the receiver opera

51 A number of regression equations have been established between parti

52 ther a fixed ratio unaffected by age or as a regression equation in which the ratio varies as a funct

53 eas pharmacogenetic-guided dosing followed a regression equation including the 3 genetic variants and

54 he index values are calculated with a single regression equation instead of the Van den Dool and Krat

55 A set of regression equations is developed from the theoretical r

56 tools based on distances and residuals from regression equations, is appropriate for authenticating

57 to Amplicor-equivalent units by using linear-regression equations [log(10) HCS-1 result = 0.49 (log(1

58 The regression equation obtained in the laboratory-based stu

59 The logistic regression equation obtained was used to determine the p

60 in the test samples was calculated from the regression equation of a standard curve that was generat

61 of 5 x 10(-7) ~50 x 10(-7)mol/L, the linear regression equation of IPL = 1226.3-13.6[CCu(2+)] (R = 0

62 skinfold thicknesses, and estimated with the regression equations of Durnin and Womersley.

63 The regression equations of Slaughter and Dezenberg, which a

64 le ratio of SM to creatinine and is based on regression equations of the form SM = b + a x creatinine

65 The regression equations of these parabens exhibited good li

66 es among sessions in the slope of the active regression equation (P = 0.005).

67 ress through the event scale, described by a regression equation predicting duration of development i

68 The regression equations predicting the SI the glucose and i

69 ndards on Altona had nearly identical linear regression equations (primary standard, Y = 1.05X - 0.28

70 The regression equation (RAP=21.6-24 systolic filling fracti

71 TaqMan assays produced the following Deming regression equation: RealTime = 0.940 (TaqMan) + 0.175 l

72 The regression equation relating mean TDEE to demographics a

73 The slopes and intercepts of the regression equations relating LBM to average daily creat

74 Multiple regression equations showed that only the number of ciga

75 The best-fitting regression equation specific for this sample by using an

76 nts could be very well described by a single regression equation that included DOW of the sorbate and

77 The Cox regression equation that predicts survival based on thes

78 whole genome shotgun projects, we construct regression equations that relate coverage to a normalize

79 en height was included as a covariate in the regression equation, the association with total body BMD

80 A regression equation to calculate iron absorption was der

81 d as the study group to derive a multilinear regression equation to estimate LA dP/dt(max) from Doppl

82 A specific regression equation to measure TBW in a VLBW population

83 n time or WMSI or LV mass was entered into a regression equation to predict follow-up LVEF, the LVEF

84 1) A regression equation to predict HRmax is 208 - 0.7 x age

85 Recovery biomarker data were used in regression equations to calibrate self-reports; the pote

86 ed to explore the applicability of published regression equations to estimate stature of Puerto Rican

87 Global trait maps, generated by coupling the regression equations to gridded soil and climate maps, s

88 the HJC within the pelvis was determined and regression equations to locate the HJC were developed us

89 None of the regression equations to predict the 24-h lipid content o

90 n this retrospective study, the multivariate regression equations using these four variables provided

91 ly proportional to the change in urine pH; a regression equation was generated to relate these variab

92 A viable regression equation was obtained for each data set using

93 A viable regression equation was obtained using only four descrip

94 A regression equation was then derived; it reproduces the

95 t considered multiple risk factors to derive regression equations was used to determine which clinica

96 A new dimensionless (regression) equation was proposed that predicts the alph

97 Regression equations were applied to scattergram plots o

98 Three regression equations were developed and verified for acc

99 uscles, and the slopes and intercepts of the regression equations were not significantly affected by

100 ANOVA and multiple regression equations were used in the analysis.

101 Regression equations were used to determine significant

102 Hierarchical linear regression equations were used to explain variance in re

103 Predictive regression equations with adequate coefficients of deter

104 Linear regression equations with similar slopes and y-intercept

105 sing standardized LC-tandem MS and resulting regression equations yielded predicted standardized seru