ライフサイエンスコーパス: with adjustment for

1 in African American than in white participants, without or with adjustment for AF risk factors.

2 Cox regression, with adjustment for age (as the underlying matching time vari

3 ntity of shedding were compared between strains and seasons with adjustment for age and prior LAIV (n = 436), inactivated

4 or recurrence were identified by binary logistic regression with adjustment for age and sex.

5 azard ratios of autism according to MMR vaccination status, with adjustment for age, birth year, sex, other childhood vac

6 e regression models were used to estimate odds ratios (ORs) with adjustment for age, gender, smoking, education, setting,

7 iptions was estimated using conditional logistic regression with adjustment for age, marital status, prescription drug mo

8 to examine the association between AMH and CRP without and with adjustment for age, race, body mass index (BMI), smoking

9 vertime (1.93 and 1.34 times higher, respectively; P<.001), with adjustment for age, sex, and HBV DNA.

10 y using logistic regression under an additive genetic model with adjustment for age, sex, body mass index, smoking status

11 least 0, 5, 10, and 15 years) prior to dementia diagnosis, with adjustments for age, sex, education, apolipoprotein E (A

12 at 12 weeks (n = 710) and 24 weeks (n = 662) were analysed with adjustment for confounders including maternal age, compl

13 nce intervals for associations between drugs and infection, with adjustment for confounders, were estimated by means of l

14 tage of sites with gingival bleeding, PPD, CAL, D, M, and F with adjustment for confounders.

15 pring sex and presence of reported parental mental illness, with adjustment for covariates.

16 n analyses were used to assess predictor of upgrade status, with adjustment for demographic covariates jointly.

17 Univariable and multivariable MR with adjustment for eGFR were performed.

18 pwind UOGD well count and the downwind gross-beta radiation with adjustment for environmental factors governing the natur

19 teeth, and gum disease-cross-sectionally and prospectively, with adjustment for established periodontal disease risk fact

20 and without type 1 diabetes from a linear regression model with adjustment for grade, test topic, and year was 0.24 (95%

21 n 78.8% of those in the short-regimen group - a difference, with adjustment for human immunodeficiency virus status, of 1

22 We used Poisson regression with adjustment for individual and area-level covariates.

23 walking time as measures of physical function) without and with adjustment for inflammatory and cardiac markers.

24 eity across histotypes was reduced [P-heterogeneity = 0.15] with adjustment for LOC components [1.08 serous, 1.11 endomet

25 ociations at 720,077 cytosine-guanine dinucleotides (CpGs), with adjustment for maternal age, gravidity, smoking, BMI, ch

26 Multivariable modeling with adjustment for MELD-Na category revealed that patients w

27 Rs) were estimated in each propensity score-matched cohort, with adjustment for more than 90 baseline characteristics.

28 n A1c (HbA1c); and cognition and patient-reported outcomes, with adjustment for multiple comparisons to control for false

29 utcomes, CGM glucose metrics, and patient-reported outcomes with adjustment for multiple comparisons to control for the f

30 istorical (1960s, 1970s) and monitoring (1985 to 2015) data with adjustments for nutrient loadings and climatic effects;

31 of animal foods with risk were examined with Cox regression with adjustment for other animal foods and relevant covariate

32 A competing risks regression analysis, with adjustment for patient and tumor characteristics, estima

33 Multivariate analysis, with adjustment for patient factors, tumor factors, and year

34 of life-EQ-5D-5L on a 0 to 1 scale-using linear regression with adjustment for patient, tumor, and treatment-related fac

35 Risk ratios (RRs) were calculated with adjustment for potential confounders, and population att

36 linear regression, and PACC score using linear regression, with adjustment for potential confounders.

37 d these immune cells in a large cohort with atopic children with adjustment for prenatal and postnatal confounders.

38 ta for quantitative results of QFT-GIT, T-SPOT.TB, and TST (with adjustment for prior bacillus Calmette-Guerin [BCG] vacc

39 With adjustment for recipient characteristics only, mortality

40 ness (VE) was estimated by conditional logistic regression, with adjustment for reported contact with children and area o

41 red with 2-hour baseline in treatment versus control groups with adjustment for seizure burden.

42 ry (PCS) scores, respectively, over 1-7 years post-surgery, with adjustment for sex, age, race, pre-surgery body mass ind

43 sociations between burn size and LIBRE Profile scale scores with adjustments for sex, current work status, burns to criti

44 models were used to calculate hazard ratios and odds ratios with adjustment for sociodemographic and clinical variables.

45 -regression was performed for the 5-year mortality outcomes with adjustment for the covariates age, physical status, tumo

46 roke was maintained among the subgroup of male smokers even with adjustment for the depth and amount of cigarette smoking

47 disorder-specific PRS were estimated using Cox regressions with adjustment for the other two PRSs.

48 ) as a continuous variable, using a restricted cubic spline with adjustment for the same covariates as in the primary ana

49 tissue-specific TSC with physical disability and cognition, with adjustment for tissue volumes.

50 scribed best by a model based on a human development index, with adjustments for urbanization and age.