ライフサイエンスコーパス: regression line

1 assessed through the funnel plot and Egger's regression line.

2 surements and increasing the accuracy of the regression line.

3 ith the human LP-pulvinar value close to the regression line.

4 masses, phosphopeptides tend to fall off the regression line.

5 of voxel mu-OR binding values around the age regression line.

6 uncorrelated with the slope of the power law regression line.

7 l control subjects generally agreed with the regression lines.

8 was significantly associated with both BMD (regression line = 0.79 to 0.0478 log predicted fracture;

9 ecreased the most during pregnancy (slope of regression line: -80 g x g N(-1) x d(-1); 95% CI: -129,

10 A fitted regression line also showed a decreasing trend (slope =

11 The mean slope of the EMG-GG-versus-DP regression lines also decreased to 23% of the control va

12 group showed a larger downward shift in the regression line and a much steeper negative slope (-2.08

13 Regression line and scattergram plot analyses determined

14 Further, the majority of the regression lines, as well as individual C(L) to C(P) rat

15 = 0.99), but comparison of the slopes of the regression lines (bDNA, m = 0.96; RT-PCR, m = 0.83) sugg

16 ification of diet in renal diseases formula) regression line before and after MMF initiation was +2.0

17 cally significant effect on the slope of the regression line between quantitative CT findings, FEV(1)

18 the venous return curve, we constructed the regression line between the pairs of cardiac index (puls

19 Consequently, the regression line between trailing prosthetic and leading

20 For these systems, the slope of the regression line between true and measured defect size wa

21 phosphorylation dose-dependently, while the regression lines between growth and ERK phosphorylation

22 h-1 (kg body wt)-1 (P < 0.05, comparison of regression lines by Student's t test), but had no effect

23 The scatterplot produces a regression line characterized by the following equation:

24 correlated (R(2) = 0.9), with a slope of the regression line close to unity and a negligible intercep

25 s strongly increased correlations and placed regression lines close to the line of unity and axis ori

26 The regression line correlating the HCS-1 assay to the Ampli

27 was assessed by comparing the slopes of the regression lines derived from the reciprocal of serum cr

28 , resulted in a decrease in the slope of the regression line describing the relationship between cell

29 A regression line describing this relationship had a slope

30 Regression lines drawn for bifenazate showed that it fol

31 Distances away from and along the regression line estimated compensatory insulin secretion

32 ogression rate was estimated from the linear regression line for all available radiographic time poin

33 the corresponding peak area from the linear regression line for clean (solute-free) MP, provided oth

34 Mixed effects models fit a unique linear regression line for each person using serial EF data.

35 For the myocardial infarction group, the regression line for log(power) on log(frequency) was shi

36 rated discrimination index, the slope of the regression line for predicted versus observed events, an

37 The regression line for pSP102 replication versus total DNA

38 ing exercise, in the central controller, the regression line for the P(a,CO(2))-minute ventilation (V

39 The slope of the regression line for the ray with greatest regression coe

40 The slope of regression lines for both readers plotting GE attenuatio

41 The regression lines for non-statin and statin trials were s

42 Although the slopes of the regression lines for R2' versus [Fe] and for R2 versus [

43 The slopes of the linear regression lines for standards in MPs with different con

44 The slope of the weighted regression line from the 2 data sources was 0.76 (SE=0.0

45 r kidney-pancreas transplants, the slopes of regression lines generated by plotting the reciprocal of

46 The slope of the regression line in the exposed infants did not differ st

47 showed a significantly higher slope for the regression line in the PVE-corrected than in the non-PVE

48 Characteristics of the regression line included a slope of 0.98 and y intercept

49 exposure energy, with greater slopes of the regression lines indicating greater sensitivity to damag

50 or (99m)Tc-tetrofosmin, as inferred from the regression line intercept (0.14 vs. 0.38, respectively).

51 stimated PWV values were located on the same regression line like values obtained in participants of

52 estimated secretion and sensitivity, but the regression line may differ from a line with constant DI

53 with correlation coefficients of all linear regression lines (measured intensity ratios vs mass rati

54 with correlation coefficients of all linear regression lines (measured intensity ratios vs mass rati

55 with correlation coefficients of all linear regression lines (measured intensity ratios vs mass rati

56 with correlation coefficients of all linear regression lines (measured intensity ratios vs mass rati

57 g Passing-Bablok regression revealed similar regression lines, no proportional bias, and improvement

58 anisms were assessed (1) by the slope of the regression line obtained from changes of RR interval and

59 The variance of the two regression lines obtained for each unit before and after

60 Deviation from the regression line of predicted angles to the postdeploymen

61 t perpendicular prosthesis projection to the regression line of predicted perpendicular projections w

62 The regression line of the ferritin concentration in menstru

63 For each patient the slope of the regression line of valve area to flow rate was determine

64 ethods, Passing-Bablok regression revealed a regression line of Y = (1.069 x X) - 0.346 (95% CI of th

65 Passing-Bablok regression revealed a regression line of y = 0.953x + 0.075 (95% confidence in

66 egression of log(10) IU/ml values revealed a regression line of Y = 1.163 x X - 0.991 (95% CI of the

67 The regression lines of all standard catechins were linear w

68 as pooled SD from the single-patient linear regression lines of ERPF versus time.

69 Regression lines of required CRRT urea K (ml/h) versus p

70 From these profiles, regression lines of required IHD frequency (per week) ve

71 ted from the slopes of the least-squares fit regression lines of the time-activity curves for the fir

72 Regression lines over the years showed significant incre

73 llowed the construction of a semilogarithmic regression line per extract.

74 The correlation coefficients of all linear regression lines ranged from 0.998 to 1.000.

75 error of the estimate (RSEE) for the linear regression line ranging from 0.0131 to 0.1760 and 1.2 to

76 The negative slope of the regression line relating homocysteine and folate was sig

77 CP-MS due to an inaccurate estimation of the regression line's intercept.

78 Logistic regression lines showed positive associations for BMI an

79 significantly lower than MBFT (slope of the regression line significantly different from 1, P < 0.00

80 CT-based correction (R(2) = 0.9956), with a regression line slope of 0.960.

81 mined by the peak amplitude versus amplitude regression line slope.

82 The four regression-line slopes were nearly identical: 0.12 to 0.

83 searchers should consider plotting the three regression lines that can be calculated for any two-dime

84 We fitted a locally weighted polynomial regression line to daily mortality to estimate the numbe

85 pressure and the inverse of the slope of the regression line to quantify resistance to venous return.

86 ted (TW)CCS(N2) value and (DT)CCS(N2) vs m/z regression lines to determine the best calibration curve

87 s action spectrum did not result in a common regression line unless it was adjusted by a blue shift,

88 The regression lines using ramp-up patters were: Y = 0.00241

89 near (standard error of the estimate for the regression line was 0.0323) over 3 orders of magnitude,

90 The slope of the weighted regression line was 0.95 (SE=0.007), and the intercept w

91 ure concentrations, the slope of the type II regression line was 1 and nearly passed through the orig

92 A regression line was fit between density of specialist su

93 The regression line was not different between men and women,

94 r = 0.75, P < 0.0001), and the least-squares regression line was not significantly different from y =

95 Compared with the control arms, the statin regression line was significantly shifted leftward, such

96 The slope of the regression line was used to assess worsening, while the

97 The x-axis intercept of the regression line was used to estimate the mean systemic p

98 For the total subjects, the regression line was VFALBIA = 0.698 VFACT + 29.521, (cor

99 sions (pulmonary nodules, bone lesions); the regression line was y = 0.85x + 0.15, R(2) = 0.83, for t

100 In patients, the slope of the regression lines was also negligible (-0.69 < slope < 0.

101 vivo recovery, derived from the slope of the regression line, was 50%.

102 d TSC number, as defined by the slope of the regression line, was the same in LA and EDL muscles, ind

103 The slopes of the regression line were 0.97 and 0.76 at 6 and 18 hr, respe

104 lot with raw data and a corresponding fitted regression line were included in the analysis.

105 nd the variance of blood pressure about this regression line were tested for association with subsequ

106 ts of the data were created, and third-order regression lines were calculated.

107 e value of the gamma-intercept of the linear regression line with the corresponding peak area from th

108 th 3, and is well approximated by two linear regression lines with R2 values of 1.0 and 0.99.