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1  of atmospheric inversions and biosphere models, which were adjusted for a consistent flux definition, showed a high leve
2 were compared between groups using linear regression models adjusted for age and sex with family membership included as r
3 e baseline hazard to vary according to neighborhood and was adjusted for age, race and ethnic group, and ownership of lon
4 ) with log-transformed FGF21 and FGF23 serum concentrations adjusted for age, sex and principal components of ancestry we
5 estigated the risk of IE according to streptococcal species adjusted for age, sex, >=3 positive blood culture bottles, na
6                               The same was seen in analyses adjusted for age, sex, and American Society of Anesthesiology
7                                                    After we adjusted for age, sex, body mass index, and type-2 diabetes i
8                                                          We adjusted for age, smoking, body mass index, physical activity
9 e association between hourly particle metrics and MI cases, adjusted for air temperature and relative humidity.
10  Recipient obesity was defined as body mass index (BMI) >35 adjusted for ascites.
11           Seroprevalence 95% confidence intervals (CI) were adjusted for assay sensitivity and specificity.
12                                                        When adjusted for baseline age, socioeconomic status, and self-rat
13 ula: see text], 11.6 [95% CI, 4.1-19.2]; P=0.01) in a model adjusted for baseline demographics.
14      At 3 months, mean difference in weight between groups, adjusted for baseline weight and group, was 3.3 kg (95% CI 1.
15                                  Estimates of sCFR and IFR, adjusted for bias, were more similar to each other but still
16  Residuals of WC over BMI showed positive associations when adjusted for BMI (OR per 10 cm = 1.38 (0.98-1.94)).
17 iovascular risk were determined using Cox regression models adjusted for cardiovascular risk factors.
18                                                    After we adjusted for clinical factors, the genetic risk score was ass
19                                               In Cox models adjusted for clinical risk factors, 29 proteins demonstrated
20 ROs were investigated using mixed-effects regression models adjusted for clinically-relevant confounders and including a
21 ht and overweight and/or obesity prevalence in the country, adjusted for cluster and sample weight.
22 el analysis with Cox proportional hazards regression models adjusted for clustering by facility and a priori baseline cov
23                                               Analyses were adjusted for confounding by time, cluster effects, and patien
24                                               Analyses were adjusted for confounding using inverse probability of treatme
25                                               Analyses were adjusted for covariates and multiple hypothesis testing.
26  targets were set as 20% reductions in sales-weighted means adjusted for feasibility, i.e., ~1/3 of products already meet
27                    We used Cox proportional hazards models, adjusted for high-dimensional propensity scores, to generate
28 was derived from magnetic resonance imaging (3T, FLAIR) and adjusted for intracranial volume (ICV).
29                            A Cox proportional hazards model adjusted for known clinical predictors showed that serum-PC E
30                                      Multivariable analysis adjusted for late gadolinium enhancement.
31                                        Linear mixed models, adjusted for longitudinal HRQOL in the general population and
32 enotype interaction predicting time to all-cause mortality, adjusted for Meta-Analysis Global Group in Chronic Heart Fail
33                    This association remained unchanged when adjusted for mid and late pregnancy exposures.
34                        We performed analysis of covariance, adjusted for model for end-stage liver disease at time of hos
35 rd ratio, 0.85 [95% CI, 0.76-0.94]; P=0.001) in models that adjusted for multiple confounders.
36                                                        When adjusted for percentage total weight loss and demographic var
37 ) accrued under current Medicare policy (stroke payment not adjusted for performance) compared with various hypothetical
38                                                   In models adjusted for potential confounders (age, race, country of bir
39        We analysed the intention-to-treat (ITT) population, adjusted for potential confounders at patient level (sex, age
40 76) and 15 (n = 3,446) years using linear regression models adjusted for potential confounders.
41 tin C) and ACR with cancer risk using Cox regression models adjusted for potential confounders.
42                                                        When adjusted for prespecified baseline variables, the odds ratio
43 y lower compared to controls in linear mixed-effects models adjusted for repeated measures, experimental variables, age,
44 rometer-based physical activity volume at 3-month follow-up adjusted for sex, 5-year age group, and general practice.
45            Differences in risk factors among patient groups adjusted for sociodemographic factors and age-adjusted tempor
46                                                 In analysis adjusted for sociodemographics and BV, enrichment of vaginal
47  familial aggregation of breast and ovarian cancer and were adjusted for the family-specific ascertainment schemes.
48 ospitalizations, deaths, and healthcare needs expected, age-adjusted for the Kutupalong-Balukhali Expansion Site age dist
49 l]), were estimated using multivariable logistic regression adjusted for the same hypothesised confounders.
50 using the Kaplan-Meier method and compared using Cox models adjusted for treatment and stratification factors.