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1 s higher in men than in women (P<0.0001, Cox proportional hazards model).
2 ) breast cancer (using the multivariable Cox proportional hazards model).
3 nd SE of 0.02 for a previously published Cox proportional hazards model.
4 ence were estimated with a multivariable Cox proportional hazards model.
5 odel and transplant-free survival with a Cox proportional hazards model.
6 , and survival were examined using the Cox's proportional hazards model.
7 who did not; we further adjusted using a Cox proportional hazards model.
8 with 95% CIs were estimated by using the Cox proportional hazards model.
9 g DMT stoppers were investigated using a Cox proportional hazards model.
10 ith those from standard analyses using a Cox proportional hazards model.
11 for clinically relevant covariates in a Cox proportional hazards model.
12 ard ratios (HRs) were estimated with the Cox proportional hazards model.
13 of dementia, separately, using adjusted Cox proportional hazards models.
14 mployed Kaplan-Meier curves and adjusted Cox proportional hazards models.
15 n or receipt of a KT were examined using Cox proportional hazards models.
16 associated with mortality using adjusted Cox proportional hazards models.
17 y follow-up were defined in time-updated Cox proportional hazards models.
18 determined using multivariable-adjusted Cox proportional hazards models.
19 timated from a sequence of multivariable Cox proportional hazards models.
20 confidence intervals were obtained using Cox proportional hazards models.
21 Associations were tested using Cox proportional hazards models.
22 90 days was examined with time-dependent Cox proportional hazards models.
23 iovascular mortality were assessed using Cox proportional hazards models.
24 and overall survival was performed with Cox proportional hazards models.
25 636 incident cases) were estimated using Cox proportional hazards models.
26 overall survival (OS) were analyzed with Cox proportional hazards models.
27 ption using multivariate regression with Cox proportional hazards models.
28 lation were evaluated using log-rank and Cox proportional hazards models.
29 d and traditional multivariable-adjusted Cox proportional hazards models.
30 s of death was estimated with the use of Cox proportional hazards models.
31 sing logistic and linear regression, and Cox proportional hazards models.
32 factors for epilepsy were assessed using Cox proportional hazards models.
33 models and time to binary outcomes using Cox proportional hazards models.
34 and all-cause mortality using univariate Cox proportional hazards models.
35 aluated as a time-dependent covariate in Cox proportional hazards models.
36 BMI with risk of MCI was investigated using proportional hazards models.
37 hospitalizations with death and MI using Cox proportional hazards models.
38 smooth function based on residuals from Cox proportional hazards models.
39 using mixed random and fixed effects and Cox proportional hazards models.
40 lan-Meier survival analysis and adjusted Cox proportional hazards models.
41 all-cause mortality were examined using Cox proportional hazards models.
42 ncome, and area-based deprivation) using Cox proportional hazards models.
43 e risk of developing breast cancer using Cox proportional hazards models.
44 nce intervals (CIs) were estimated using Cox proportional hazards models.
45 nd 95% CIs estimated using multivariable Cox proportional hazards models.
46 lyzed using life tables and time-varying Cox proportional hazards models.
47 with survival after ALS diagnosis using Cox proportional hazards models.
48 roups using univariate and multivariable Cox proportional hazards models.
49 ty were assessed using Andersen-Gill and Cox proportional hazards models.
50 n R/S and incident all-cause mortality using proportional hazards models.
51 emorrhagic), using survival analyses and Cox proportional hazards models.
52 alifornia State Inpatient Database using Cox proportional hazards models.
53 stimated cumulative hazards with conditional proportional hazards models.
54 WU completion or KT were examined using Cox proportional hazards models.
55 of HIV-1 infection among vaccinees using Cox proportional hazards models.
56 e with incident AF was examined by using Cox proportional hazards models.
57 and survival curves were measured using Cox-proportional hazards models.
58 dex and mortality was investigated using Cox proportional hazards models.
59 ate cancer, using multivariable-adjusted Cox proportional hazards models.
60 en treated and untreated groups by using Cox proportional hazards models.
61 e survival analyses were performed using Cox-proportional hazards models.
62 rude incidence rates (IRs) and developed Cox proportional hazards models.
63 tests, Kaplan-Meier survival curves, and Cox proportional-hazards models.
64 luated using the Kaplan-Meier method and Cox proportional hazards modeling.
65 as performed using step-up and step-down Cox proportional hazards modeling.
66 d using Kaplan-Meyer curves and adjusted Cox proportional hazards modeling.
67 al prognostic factors were identified by Cox proportional hazards modeling.
68 n-Meier event rate curves and univariate Cox proportional hazards modeling.
69 thout RVAD using Kaplan-Meier method and Cox proportional hazards modeling.
70 ted using Kaplan-Meier survival analysis and proportional hazards modeling.
71 ssed using univariable and multivariable Cox proportional hazards modeling.
72 assessed covariables as predictors with Cox proportional hazards modelling.
75 nfarction was examined with the use of a Cox proportional hazards model adjusted for potential confou
76 use-specific mortality was assessed with Cox proportional hazards models adjusted for age, sex, AMD s
79 biomarkers with SAR were analyzed using Cox proportional hazards models adjusted for clinicopatholog
81 h overall and CRC-related survival using Cox proportional hazards models adjusted for demographic, tu
82 ersons 60 years of age or older, we used Cox proportional-hazards models adjusted for age and sex to
85 or lithium exposure were estimated using Cox proportional hazards models, adjusted for potential conf
86 n between genotype and OS is assessed by Cox proportional hazards model adjusting for age, sex, Inter
87 of 30-day readmission, we constructed a Cox proportional hazards model adjusting for age, sex, race,
88 and 95% confidence intervals (CIs) from Cox proportional hazards models adjusting for baseline progn
89 's disease, and multiple sclerosis using Cox proportional hazards models, adjusting for individual an
92 the likelihood to receive an OLT using a Cox proportional hazards model and a generalized additive mo
94 ecific survival (DSS) were assessed with Cox proportional hazards modeling and a competing risk analy
95 and aortic dissection were identified by Cox proportional hazards modeling and a mortality risk score
97 aphic and clinical characteristics using Cox proportional hazards models and inverse probability weig
99 e free survival (RFS) were determined by Cox proportional hazards models and Kaplan-Meier method.
101 isk score was derived using multivariate Cox proportional hazards models and standard clinical predic
102 loss of patency was assessed by using a Cox proportional hazards model, and a multiple variable mode
103 the Kaplan-Meier method, log-rank test, Cox proportional hazards models, and propensity score-matche
104 c regression, Kaplan-Meier analysis, and Cox proportional hazards models, as well, were developed to
108 dated postdiagnostic diet using adjusted Cox proportional hazards models based on follow-up until 201
109 ng sex-stratified multivariable-adjusted Cox proportional hazards models, black women and men were mo
110 After adjusting for 34 covariates in a Cox proportional hazards model, borderline PH was associated
111 We propose new Bayesian hierarchical Cox proportional hazards models, called the spike-and-slab l
114 s) of breast cancer were estimated using Cox proportional hazards models, considering exposure as a t
121 differences in rehospitalization using a Cox proportional hazards model, following sequential adjustm
123 to relapse; the hazard ratio, based on a Cox proportional hazards model for lisdexamfetamine vs place
124 sess the usefulness of extensions of the Cox proportional hazards model for repeated events in this c
128 tive Observational Study, we constructed Cox proportional hazards models for CHD including age, pregn
130 d Kaplan-Meier probability estimates and Cox proportional hazards models for post-HCT outcomes based
133 We estimated all-cause mortality using Cox proportional hazards models; hazard ratios with 95% conf
136 el of P < .10 constructed a multivariate Cox proportional hazards model in which the impact of each c
137 of SCD by using an age- and sex-adjusted Cox proportional-hazards model, in all participants and also
138 adjustments for covariates, results from Cox proportional hazards models, including SBP and DBP, join
145 The software enables analyses under a Cox proportional hazards model or Weibull regression model,
148 ality was analyzed using a multivariable Cox proportional hazards model, providing hazard ratios (HRs
155 ssociations were evaluated with weighted Cox proportional hazards models stratified by race/ethnicity
158 of subsequent disability worsening by use of proportional hazards models that included OCT metrics an
159 , and butter were tested with the use of Cox proportional hazards models that were adjusted for age,
160 on (ppb) for ozone using a two-pollutant Cox proportional-hazards model that controlled for demograph
163 took a multifactorial analysis using the Cox proportional hazards model to identify factors affecting
166 in the general adult population and used Cox proportional hazards modeling to estimate determinants o
174 CRIC) and Hispanic-CRIC Studies, we used Cox proportional hazards models to determine the association
182 in the Cardiovascular Health Study using Cox proportional hazards models to examine the association b
185 ing Kaplan-Meier survival and univariate Cox proportional hazards models to examine the effect of LSF
186 did not file for bankruptcy, we then fit Cox proportional hazards models to examine the relationship
187 r method to estimate 5-year survival and Cox proportional hazards models to generate hazard ratios.
192 ine at the individual patient level with Cox proportional hazards models to quantify associations of
196 create the six exposure metrics and fit Cox proportional hazards models to the simulated data using
199 therapies in a propensity score-weighted Cox proportional hazards model using data from the British A
202 isk factors for disengagement based on a Cox proportional hazards model, using multiple imputation fo
203 re estimated with multivariable adjusted Cox proportional hazards models, using the 120-129 mm Hg sys
216 to determine treatment failure rates and Cox proportional hazards modeling was used to identify risk
217 eight clinical variables and a penalised Cox proportional-hazards model, was used to compare method p
224 HRs) for SMN and death calculated by the Cox proportional hazards model were compared with those of a
235 d were enrolled at 130 SELECT sites, and Cox proportional hazards models were used in a modified inte
238 d quantitated 204 serum metabolites, and Cox proportional hazards models were used to analyze the lon
265 In substudy B, hazard ratios (HRs) from Cox proportional hazards models were used to estimate incide
273 ier method was used to estimate DSS, and Cox proportional hazards models were used to evaluate the as
274 andmark analyses and marginal structural Cox proportional hazards models were used to evaluate the re
286 using the Andersen-Gill extension to the Cox proportional hazards model while accounting for the comp
287 h the outcomes were determined using the Cox proportional hazards model with a significance level set
290 P = .0050, P = .0075, respectively) and in a proportional hazards model with time-dependent covariate
291 g-rank tests and then performed a piece-wise proportional hazards modeling with 2 time periods: disch
293 iction of mortality was determined using Cox proportional hazards models with backward stepwise selec
297 l 2002 and November 2013, analyzed using Cox proportional hazards models with time-varying covariates
299 Sex-stratified multivariable-adjusted Cox proportional hazards modeling, with adjustment for time-
300 d hazard ratios (HRs) for death by using Cox proportional hazards models, with adjustment for age, se
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