コーパス検索結果 (right1)
通し番号をクリックするとPubMedの該当ページを表示します
1 ralized estimating equations was used to model associations with adjustment for a participant's age, sex, education, mari
2 rice consumption were estimated using logistic regression, with adjustment for age, gender, and caloric intake.
3 ) and 95% confidence intervals (CIs) by logistic regression with adjustment for age, gender, and smoking.
4 s (HRs) for death by using Cox proportional hazards models, with adjustment for age, sex, race/ethnicity, body mass index
5 H trajectories with CVD was quantified with joint modeling, with adjustment for age, smoking, oral contraceptive use, bod
7 of alignment and morphology to the presence of SHFP edema, with adjustments for age, sex, and body mass index.
8 greater baseline disability and disability over time, even with adjustment for baseline covariates and stroke and MI occ
9 r TAVR were examined using multivariable linear regression, with adjustment for baseline health status and accounting for
10 alysis was used to extract the adjusted hazard ratios (HRs) with adjustments for baseline age, sex, body mass index, phys
11 mpared between the intervention group and the control group with adjustment for clustering and matching.
12 Competing risk and survival analysis with adjustment for confounders were used to calculate risk f
15 ffect modifiers (e.g., age, sex, and socioeconomic status), with adjustment for day of the week and weather.
16 renal disease (ESRD) from baseline (1990-1992) through 2013 with adjustment for demographics, risk factors, a latent vari
17 ere calculated using conditional logistic regression models with adjustment for important covariates extracted from the d
18 Analysis was by multivariable Poisson regression with adjustment for maternal characteristics and pregnancy-re
19 Linear and Poisson regressions were used, with adjustment for maternal demographic, lifestyle, and diet
20 ssion was used to compute relative risks (RRs) and 95% CIs, with adjustments for maternal body mass index, delivery year,
21 nancy and severe mental illness in offspring were estimated with adjustment for measured covariates.
22 d to investigate the relation between biomarkers and events with adjustment for multiple clinical and echocardiographic v
23 nd control subjects by using the Wilcoxon signed-rank test, with adjustment for multiple comparisons.
24 e reference in this study, used the Bland and Altman method with adjustment for multiple measurements per patient.
25 The Exact McNemar test for paired categorical data with adjustments for multiple comparisons was used to compare
26 before and after the publication of the CW recommendation, with adjustment for patient and health care professional char
27 In a hierarchical multivariable analysis with adjustment for patient characteristics where volume was
28 nts treated by high-intensity or low-intensity prescribers, with adjustment for patient characteristics.
30 illance on colorectal cancer incidence using Cox regression with adjustment for patient, procedural, and polyp characteri
31 -adjusted BMI percentiles and these outcomes were assessed, with adjustment for patient-level risk factors, with multivar
35 We used multivariable logistic regressions, with adjustment for potential confounders, to estimate the as
36 prenatal smoking and NEC-associated infant mortality rates with adjustment for potential confounders.
37 ssion models were constructed to estimate HRs with 95% CIs, with adjustment for potential confounders.Of the 4400 partici
38 ts were reported in United States Dollars without (US$) and with adjustment for purchasing power parity (PPP$).
39 In a proportional hazards (Cox) model with adjustment for relevant covariates and median follow-up
40 Data were analyzed by Cox regression, with adjustment for sex, age, HbA1c, DN, diabetes duration, s
41 re risk was estimated from conditional logistic regression, with adjustment for skin type, fracture history, waist circum
42 This association was similar in sample adults with adjustment for smoking and body mass index (hazard ratio
43 ial cancer was weaker, but still significant, among studies with adjustment for smoking, BMI, oral contraceptive use, and
44 the cause-specific hazard ratio for alcohol-related death, with adjustment for socioeconomic status.
45 The odds of discovering brain injury with adjustment for surgical stage as well as >/=2 coexisting
46 the change in the estimated GFR from baseline to follow-up, with adjustment for the exact duration that each patient part
47 unt for stratification and clustering of the sample design, with adjustment for the variables used to calculate sample we
48 d multivariable-adjusted Cox proportional hazards modeling, with adjustment for time-updated covariates, was used to esti
49 lized, the risk of death after hospitalization was compared with adjustment for treatment group propensity.
50 ssessed by multivariable Cox proportional hazards analysis, with adjustment for variables known to affect graft survival.
WebLSDに未収録の専門用語（用法）は "新規対訳" から投稿できます。