ライフサイエンスコーパス: effect modifier

1 -economic factors may act as a confounder or effect modifier.

2 ical complications, and might be a treatment effect modifier.

3 al age at birth because it was a significant effect modifier.

4 absence of subgingival calculus was a strong effect modifier.

5 son, study, and CO methods as covariates and effect modifiers.

6 neity across studies suggests influence from effect modifiers.

7 re undertaken to examine potential treatment effect modifiers.

8 , and in all age groups, with no significant effect modifiers.

9 The models did not adjust for all potential effect modifiers.

10 trations in humans and investigate potential effect modifiers.

11 both biological and social risk factors and effect modifiers.

12 opulation, but age and smoking are important effect modifiers.

13 veral city characteristics were evaluated as effect modifiers.

14 of disease or subgroups of several potential effect modifiers.

15 stment for several potential confounders and effect modifiers.

16 were evaluated as potential confounders and effect modifiers.

17 d air travel were included as confounders or effect modifiers.

18 und no influence from the other hypothesized effect modifiers.

19 ntrations and iron status were considered as effect modifiers, although few studies included such sub

20 In conclusion, age is a major effect modifier among patients with an eGFR of <60 ml/mi

21 condary analyses, the influence of important effect modifiers and confounders, such as smoking status

22 treating it as a confounder, sometimes as an effect modifier, and sometimes as a co-exposure.

23 ied analytic plan for exposures, covariates, effect modifiers, and analysis, and the findings were th

24 function, identify important confounders and effect modifiers, and generate and test hypotheses about

25 accine effect on HIV acquisition and vaccine effect modifiers, and nonparametric and semiparametric m

26 cuss potential bio-behavioral mechanisms and effect modifiers, and suggest avenues for pharmacogeneti

27 ing, and were not appreciably altered by the effect modifiers, apart from parental allergic disease (

28 past smoking history was also a significant effect modifier as demonstrated by the statistically sig

29 priori investigations were used to identify effect modifiers/confounders and extreme associations re

30 as used with interaction terms for potential effect modifiers (e.g., age, sex, and socioeconomic stat

31 design, measurements, mechanisms, potential effect modifiers (eg, age), and relevance for public pol

32 nvestigated whether cigarette smoking was an effect modifier for asthma morbidity.

33 or after intervention was withdrawn) was an effect modifier for both adherence to antiretroviral the

34 a dose of oral glucose was not a significant effect modifier for cardiovascular disease risk factors.

35 Pneumonia was a positive effect modifier for deaths from all causes and stroke, w

36 s, and racial differences were a significant effect modifier for EBV IgG status and risk of PTLD.

37 iduals, heavy personal tobacco use may be an effect modifier for O3-associated morbidity.

38 no-IBS group, but IBS was not a significant effect modifier for the association.

39 Male sex is an age-specific effect modifier for ulcerated CM by tumor depth.

40 FLG mutation and PSE were not effect modifiers for the association between IgE sensiti

41 minutes after a dose of oral glucose was an effect modifier (group x time x insulin concentration at

42 ed differential association across potential effect modifiers implicated in oxidative stress and incr

43 asal colonization has gained attention as an effect modifier in Staphylococcus aureus vaccine trials,

44 Cigarette smoking should be evaluated as an effect modifier in studies of media use and obesity.

45 es or hyperlipidemia, but instead acts as an effect modifier in susceptible populations by increasing

46 for pneumonia admissions that diabetes is an effect modifier in the younger age group, and for COPD i

47 ls were explored as potential confounders or effect modifiers in logistic regression analysis.

48 Age was reported to be an effect-modifier in four randomised controlled trials com

49 Effect modifiers included sex, low job control, high dem

50 There were a number of significant effect modifiers, including public insurance, panel reac

51 = 224; P = .049 for interaction) were likely effect modifiers increasing a PPI-CAP association; conve

52 D cohort, in which FGF-23 level was again an effect modifier of the relationship between plasma ADMA

53 ion, we evaluated aldosterone as a potential effect modifier of these associations.

54 ogic plausibilities that obesity might be an effect modifier of treatment, but supporting evidence fr

55 P24A, CYP27B1, GC, and RXRA were analyzed as effect modifiers of 25(OH)D.

56 variety of phenotypes and implies that major effect modifiers of extreme phenotypes are not uncommon

57 y (FibroPlex) that quantifies predictors and effect modifiers of fibrosis.

58 a, and interferon-gamma, were confounders or effect modifiers of this association between adiponectin

59 d assessed potential confounding factors and effect modifiers of those associations in a large commun

60 r cohort designs, and/or with adjustment for effect modifiers or confounders.

61 n iron variables were stratified by possible effect modifiers or hormone receptor status.

62 or health-related factors were confounders, effect modifiers, or irrelevant with regard to understan

63 Only age group was a significant treatment effect modifier (P for interaction, 0.003).

64 posed a comprehensive set of confounders and effect modifiers that need to be considered in future st

65 ew and extracted data on the confounders and effect modifiers that were considered and the approaches

66 The strongest effect modifier was place of death for heat, with out-of

67 uding risk of bias assessment) and potential effect modifiers were tested using Cochran's Q Test.

68 Prespecified effect modifiers were tested using multivariable hierarc

69 ibe the magnitude and dose-responsiveness of effect modifiers with respect to changes in status.