1 pulation weights were applied to the data and multivariable
regression was used to adjust for confounding.
2 Binomial logistic
regression was used to analyze correlation between variables
3 Linear and logistic
regression was used to assess associations between lipidomic
4 Linear
regression was used to assess factors associated with frailty
5 ospective medical records review was performed and logistic
regression was used to assess OPAT and other outpatient clini
6 Logistic
regression was used to assess ORs with 95% CIs.
7 Penalized multivariable
regression was used to assess the association of patient hist
8 Linear
regression was used to associate miRNAs with change in FEV(1)
9 Elastic-Net
regression was used to build Base (sociodemographic), Clinica
10 Multivariable
regression was used to calculate a predictive model for early
11 Cox proportional hazards
regression was used to calculate hazard ratios (HRs) for any
12 Poisson
regression was used to compare incidence rates between HCV gr
13 Survey-adjusted logistic
regression was used to compare the odds for in-hospital morta
14 Logistic
regression was used to compare the odds of pregnancy between
15 Cox proportional hazards
regression was used to contrast risks for AKI and CDI across
16 Conditional logistic
regression was used to create models of associations between
17 Multivariate logistic
regression was used to create odds ratios comparing different
18 Multivariable logistic
regression was used to derive adjusted odds of case status be
19 Receiver operating characteristic analysis with logistic
regression was used to determine the optimal cut point for ea
20 Cox
regression was used to estimate adjusted hazard ratio (aHRs)
21 Multivariable Cox
regression was used to estimate adjusted hazard ratios (HRs)
22 Multivariate competing-risk
regression was used to estimate cause-specific subhazard rati
23 ion reductions on lung growth.Methods: Mixed-effects linear
regression was used to estimate FEV(1) and FVC from age 11 to
24 Cox
regression was used to estimate hazard ratios (HRs) for sever
25 Cox
regression was used to estimate hazard ratios of dementia by
26 Logistic
regression was used to estimate marginal risk differences (RD
27 Cox proportional hazards
regression was used to estimate obstructive sleep apnea sever
28 Conditional logistic
regression was used to estimate odds ratios (ORs) and 95% CIs
29 Multinomial logistic
regression was used to estimate ORs and 95% CIs for the assoc
30 Linear
regression was used to estimate the trends in annual incidenc
31 Multivariable linear
regression was used to evaluate associations between inflamma
32 Multivariable logistic
regression was used to evaluate knowledge of the LCOD.
33 Poisson
regression was used to evaluate the association between cance
34 Logistic
regression was used to evaluate the relationship between clin
35 Multilevel mixed effects logistic
regression was used to examine relationships for three measur
36 In a subset of subjects, Cox
regression was used to examine the association between race a
37 Multivariable
regression was used to examine the influence of 4 intraoperat
38 meta-analysis was used to pool reported estimates, and meta-
regression was used to explore sources of heterogeneity.
39 Multivariable-adjusted Poisson
regression was used to identify factors associated with hospi
40 Multivariable logistic
regression was used to identify factors associated with ICH.
41 Multivariate logistic
regression was used to identify factors predictive of present
42 Multivariable linear
regression was used to identify independent clinical predicto
43 Multivariable logistic
regression was used to identify risk factors for the primary
44 Covariate-adjusted Bayesian kernel machine
regression was used to investigate metal mixture associations
45 Multivariable logistic
regression was used to investigate patient factors associated
46 Linear
regression was used to model HIV serostatus and ADI effects o
47 nically meaningful changes were defined a priori and linear
regression was used to model PCI scores on baseline PCI, trea
48 Multivariable linear
regression was used to model the association between apnea-hy
49 Logistic
regression was used to see the association of myopia with age
50 Multivariate linear
regression was used to test for cross-sectional associations