ライフサイエンスコーパス: hazards model

1 en than in women (P<0.0001, Cox proportional hazards model).

2 er (using the multivariable Cox proportional hazards model).

3 for a previously published Cox proportional hazards model.

4 imated with a multivariable Cox proportional hazards model.

5 splant-free survival with a Cox proportional hazards model.

6 l were examined using the Cox's proportional hazards model.

7 we further adjusted using a Cox proportional hazards model.

8 were estimated by using the Cox proportional hazards model.

9 s were investigated using a Cox proportional hazards model.

10 m standard analyses using a Cox proportional hazards model.

11 ly relevant covariates in a Cox proportional hazards model.

12 Rs) were estimated with the Cox proportional hazards model.

13 separately, using adjusted Cox proportional hazards models.

14 n-Meier curves and adjusted Cox proportional hazards models.

15 of a KT were examined using Cox proportional hazards models.

16 th mortality using adjusted Cox proportional hazards models.

17 ere defined in time-updated Cox proportional hazards models.

18 sing multivariable-adjusted Cox proportional hazards models.

19 a sequence of multivariable Cox proportional hazards models.

20 tervals were obtained using Cox proportional hazards models.

21 ociations were tested using Cox proportional hazards models.

22 xamined with time-dependent Cox proportional hazards models.

23 rtality were assessed using Cox proportional hazards models.

24 cases) were estimated using Cox proportional hazards models.

25 survival was performed with Cox proportional hazards models.

26 val (OS) were analyzed with Cox proportional hazards models.

27 ultivariate regression with Cox proportional hazards models.

28 valuated using log-rank and Cox proportional hazards models.

29 and linear regression, and Cox proportional hazards models.

30 onal multivariable-adjusted Cox proportional hazards models.

31 s estimated with the use of Cox proportional hazards models.

32 pilepsy were assessed using Cox proportional hazards models.

33 me to binary outcomes using Cox proportional hazards models.

34 mortality using univariate Cox proportional hazards models.

35 time-dependent covariate in Cox proportional hazards models.

36 k of MCI was investigated using proportional hazards models.

37 ons with death and MI using Cox proportional hazards models.

38 ion based on residuals from Cox proportional hazards models.

39 andom and fixed effects and Cox proportional hazards models.

40 vival analysis and adjusted Cox proportional hazards models.

41 ea-based deprivation) using Cox proportional hazards models.

42 eloping breast cancer using Cox proportional hazards models.

43 (CIs) were estimated using Cox proportional hazards models.

44 timated using multivariable Cox proportional hazards models.

45 ife tables and time-varying Cox proportional hazards models.

46 l after ALS diagnosis using Cox proportional hazards models.

47 nivariate and multivariable Cox proportional hazards models.

48 sed using Andersen-Gill and Cox proportional hazards models.

49 ident all-cause mortality using proportional hazards models.

50 using survival analyses and Cox proportional hazards models.

51 te Inpatient Database using Cox proportional hazards models.

52 lative hazards with conditional proportional hazards models.

53 n or KT were examined using Cox proportional hazards models.

54 -Meier survival curves, and Cox proportional-hazards models.

55 ction among vaccinees using Cox proportional hazards models.

56 nt AF was examined by using Cox proportional hazards models.

57 curves were measured using Cox-proportional hazards models.

58 lity was investigated using Cox proportional hazards models.

59 sing multivariable-adjusted Cox proportional hazards models.

60 d untreated groups by using Cox proportional hazards models.

61 alyses were performed using Cox-proportional hazards models.

62 e rates (IRs) and developed Cox proportional hazards models.

63 the Kaplan-Meier method and Cox proportional hazards modeling.

64 using step-up and step-down Cox proportional hazards modeling.

65 n-Meyer curves and adjusted Cox proportional hazards modeling.

66 factors were identified by Cox proportional hazards modeling.

67 rate curves and univariate Cox proportional hazards modeling.

68 ing Kaplan-Meier method and Cox proportional hazards modeling.

69 lan-Meier survival analysis and proportional hazards modeling.

70 ivariable and multivariable Cox proportional hazards modeling.

71 ariables as predictors with Cox proportional hazards modelling.

72 Cox proportional hazards models accounting for competing risks were used

73 Cox proportional hazards models, accounting for time under observation an

74 examined with the use of a Cox proportional hazards model adjusted for potential confounders.

75 mortality was assessed with Cox proportional hazards models adjusted for age, sex, AMD severity, VA,

76 In Cox proportional hazards models adjusted for age, sex, race, clinical sit

77 Calculations were based on proportional hazards models adjusted for age, sex, race, HIV risk gro

78 ith SAR were analyzed using Cox proportional hazards models adjusted for clinicopathologic features a

79 e to death was studied with Cox proportional hazards models adjusted for demographic and clinical var

80 CRC-related survival using Cox proportional hazards models adjusted for demographic, tumor, and trea

81 However, a Cox proportional hazards model, adjusted for age, sex, and genotype for t

82 We fitted Cox proportional hazards models, adjusted for known confounders.

83 posure were estimated using Cox proportional hazards models, adjusted for potential confounders.

84 otype and OS is assessed by Cox proportional hazards model adjusting for age, sex, International stag

85 admission, we constructed a Cox proportional hazards model adjusting for age, sex, race, and comorbid

86 idence intervals (CIs) from Cox proportional hazards models adjusting for baseline prognostic factors

87 nd multiple sclerosis using Cox proportional hazards models, adjusting for individual and contextual

88 In Cox proportional hazards models, ADT was associated with a decreased risk

89 rvival was assessed using a Cox proportional hazards model after adjusting for the propensity score f

90 Hazards models also suggested an association between low

91 d to receive an OLT using a Cox proportional hazards model and a generalized additive model with a lo

92 Cox proportional hazards model and logistic regression were used to corre

93 al (DSS) were assessed with Cox proportional hazards modeling and a competing risk analysis, respecti

94 year after surgery by using Cox proportional hazards models and hazard ratios.

95 nical characteristics using Cox proportional hazards models and inverse probability weighting.

96 We used Cox proportional hazards models and inverse probability-weighted estimate

97 al (RFS) were determined by Cox proportional hazards models and Kaplan-Meier method.

98 Cox proportional hazards models and logistic regression were used to esti

99 derived using multivariate Cox proportional hazards models and standard clinical prediction rules.

100 ncy was assessed by using a Cox proportional hazards model, and a multiple variable model was examine

101 eier method, log-rank test, Cox proportional hazards models, and propensity score-matched analyses.

102 Kaplan-Meier analysis, and Cox proportional hazards models, as well, were developed to search for ri

103 Cox proportional hazards modeling assessed the association between quarti

104 Proportional hazards models assessed differences in outcome reduction

105 The multivariate Cox proportional hazards model based on significant prognostic factors of

106 gnostic diet using adjusted Cox proportional hazards models based on follow-up until 2010.

107 fied multivariable-adjusted Cox proportional hazards models, black women and men were more likely to

108 ting for 34 covariates in a Cox proportional hazards model, borderline PH was associated with increas

109 e new Bayesian hierarchical Cox proportional hazards models, called the spike-and-slab lasso Cox, for

110 Using Cox proportional hazards modeling, class 2 GEP was the prognostic factor

111 Using competing risk and Cox proportional hazards models, clinical factors at baseline and after t

112 cancer were estimated using Cox proportional hazards models, considering exposure as a time-varying v

113 In a multivariable Cox proportional hazards model controlling for sociodemographic, disease,

114 A multivariate Cox proportional hazards model demonstrated that multifocality, extrahepa

115 In multivariable Cox proportional hazards models, elevated HDGF levels predicted decreased

116 Cox proportional hazards models estimated the risk of mortality associate

117 For accepted offers, Cox proportional hazards models estimated these probabilities using trans

118 Multivariable Cox proportional hazards models fit to individual patient data were perfo

119 n rehospitalization using a Cox proportional hazards model, following sequential adjustment for covar

120 ach outcome, we first ran a Cox proportional hazards model for each city, adjusting for prior cardiop

121 he hazard ratio, based on a Cox proportional hazards model for lisdexamfetamine vs placebo, was 0.09

122 ulness of extensions of the Cox proportional hazards model for repeated events in this context.

123 Fits of the Cox proportional hazards model for the 2 sets of prognostic scores were c

124 By using the Cox proportional hazards model for univariate and multivariate analyses,

125 We fit multivariable proportional hazards models for baseline, time-updated and cumulative

126 ional Study, we constructed Cox proportional hazards models for CHD including age, pregnancy status,

127 ations, and biomarkers into Cox proportional hazards models for each outcome.

128 r probability estimates and Cox proportional hazards models for post-HCT outcomes based on recipient

129 Cox proportional hazards models for recurrent gap-time data were used to

130 he primary analysis using a Cox proportional hazards model gave a mortality reduction over years 0-14

131 d all-cause mortality using Cox proportional hazards models; hazard ratios with 95% confidence interv

132 In Cox proportional hazards models, higher levels of miR-124-3p were signifi

133 The Cox proportional hazards model identified RFA as an independent predictor

134 constructed a multivariate Cox proportional hazards model in which the impact of each covariate was

135 ng an age- and sex-adjusted Cox proportional-hazards model, in all participants and also after restri

136 or covariates, results from Cox proportional hazards models, including SBP and DBP, jointly suggested

137 In multivariable-adjusted Cox proportional hazards models, increasing years of baseline rotating ni

138 In proportional hazards model, insurance and tumor characteristics match

139 Marginal structural Cox proportional hazards modeling investigated the relationships between

140 In time-varying Cox proportional hazards models, liver transplantation (hazard ratio [HR]

141 A Cox proportional hazards model of survival outcome indicated that a CMR w

142 Survival was analyzed using Cox proportional hazards models of time to death.

143 re enables analyses under a Cox proportional hazards model or Weibull regression model, and can accou

144 On Cox proportional hazards modeling, patients achieving recovery of total c

145 In a time-dependent Cox proportional-hazards model, picobirnaviruses were predictive of the o

146 Data was analyzed in Cox hazards models providing mortality rate ratios (MRRs).

147 lyzed using a multivariable Cox proportional hazards model, providing hazard ratios (HRs) with 95% co

148 In the adjusted Cox proportional hazards model, reinfection with a heterologous HCV genot

149 Meier survival analyses and Cox proportional hazards modeling, respectively.

150 Multivariable Cox proportional hazards modeling revealed no effect of repeated mismatch

151 0.10-mg/m3 exposure level, Cox proportional hazards models showed significantly increased risk of mo

152 nly through a multivariable Cox proportional hazards model stratified by trial.

153 ation were calculated using Cox proportional hazards models stratified by cohort.

154 ere evaluated with weighted Cox proportional hazards models stratified by race/ethnicity.

155 Cox proportional hazards models, stratified according to birth-year cohor

156 Cox proportional hazards models, stratified by age, were used to estimate

157 ozone using a two-pollutant Cox proportional-hazards model that controlled for demographic characteri

158 disability worsening by use of proportional hazards models that included OCT metrics and age, diseas

159 were tested with the use of Cox proportional hazards models that were adjusted for age, sex, body mas

160 The results were analysed using a Cox hazards model, the log-rank test, Kaplan-Meier curves, c

161 In the Cox-proportional hazards model, the use of induction of was not associate

162 We used a proportional subdistribution hazards model to estimate the 10-year risk of developing

163 We first fitted a Cox proportional hazards model to examine the relation of knee SxOA to th

164 actorial analysis using the Cox proportional hazards model to identify factors affecting survival (as

165 We used a Cox proportional hazards model to identify index case, contact, and house

166 We used Cox proportional hazards modeling to assess sequentially adding baseline

167 l adult population and used Cox proportional hazards modeling to estimate determinants of death.

168 We used Cox proportional hazards modeling to estimate hazard ratios (HRs) of chil

169 We used Cox proportional hazards modeling to examine the association between nitr

170 We used Cox proportional hazards models to assess associations of the biomarkers

171 We fit Cox proportional hazards models to assess the association of diabetes wit

172 We used Cox's proportional hazards models to calculate hazard ratios (HRs) for pote

173 rst developed multivariable Cox proportional hazards models to determine predictors of developing dep

174 We used adjusted Cox proportional hazards models to determine risks of death or death-cens

175 panic-CRIC Studies, we used Cox proportional hazards models to determine the association between race

176 We used Cox proportional hazards models to estimate age- and multivariable-adjust

177 We used Cox proportional hazards models to estimate associations between resident

178 We used proportional hazards models to estimate associations.

179 The authors used Cox proportional hazards models to estimate hazard ratios of mortality fo

180 We used Cox proportional hazards models to estimate HRs and 95% CIs.

181 We used Cox proportional hazards models to estimate HRs and their 95% CIs for tim

182 vascular Health Study using Cox proportional hazards models to examine the association between FGF23

183 We used Cox proportional hazards models to examine the association between risk o

184 We fitted Cox proportional hazards models to examine the association of remission s

185 We used multivariable Cox proportional hazards models to examine the associations between Weste

186 ier survival and univariate Cox proportional hazards models to examine the effect of LSF on survival

187 for bankruptcy, we then fit Cox proportional hazards models to examine the relationship between bankr

188 stimate 5-year survival and Cox proportional hazards models to generate hazard ratios.

189 We used multivariable Cox proportional hazards models to independently estimate the risk of PD

190 We used Cox proportional hazards models to investigate whether associations of br

191 We used Cox proportional hazards models to obtain adjusted hazard ratios and 95%

192 dividual patient level with Cox proportional hazards models to quantify associations of creatinine-ba

193 We used proportional hazards models to test the association between cardiogen

194 We applied Cox proportional hazards models to test the potential HTEs on the remaini

195 We used Cox proportional hazards models to test whether biomarker concentrations

196 ix exposure metrics and fit Cox proportional hazards models to the simulated data using the six metri

197 In a time-dependent Cox proportional hazards model, transmissions with 80% to 98% RVP were as

198 a propensity score-weighted Cox proportional hazards model using data from the British Association of

199 Multivariate Cox proportional hazards models using time-dependent endocrine drug use v

200 Cox proportional hazards models using time-updated covariates were constr

201 or disengagement based on a Cox proportional hazards model, using multiple imputation for missing dat

202 with multivariable adjusted Cox proportional hazards models, using the 120-129 mm Hg systolic blood p

203 Multivariable proportional hazards modeling utilizing several flexible smoothing ap

204 A multivariable Cox proportional hazards model was developed to determine predictors of t

205 all-cause mortality, and a Cox proportional hazards model was developed.

206 A stratified proportional hazards model was used in an intention-to-treat analysis

207 Cox-proportional hazards model was used to assess PFS in patient subgroup

208 The marginal Cox proportional hazards model was used to assess the factors associated

209 Cox proportional hazards model was used to calculate hazard ratios with 9

210 A univariate Cox proportional hazards model was used to correlate disease-specific sur

211 A multivariate proportional hazards model was used to determine the association of i

212 Multivariate Cox proportional hazards model was used to generate the nomogram from tum

213 A Cox proportional hazards model was used to investigate first live birth a

214 Conditional Cox proportional hazards modeling was used to compare the groups for the

215 treatment failure rates and Cox proportional hazards modeling was used to identify risk factors.

216 l variables and a penalised Cox proportional-hazards model, was used to compare method performance.

217 Using a Cox proportional hazards model, we identified predictors of waitlist mort

218 Using multivariable Cox proportional hazards models, we compared cumulative incidence of all-

219 Using covariate-adjustment Cox proportional hazards models, we estimated associations of mean annual

220 Using multivariable Cox proportional hazards models, we estimated hazard ratios (HRs) for all

221 Using Cox proportional hazards models, we estimated hazard ratios and confidenc

222 Using Cox proportional hazards models, we evaluated both metrics as predictors

223 and death calculated by the Cox proportional hazards model were compared with those of age-matched co

224 Cox proportional hazards models were adjusted for demographic and cardiov

225 Cox proportional hazards models were applied to determine the effects of

226 Kaplan-Meier estimation and Cox proportional hazards models were conducted to identify risk factors f

227 Cosinor analysis and Cox proportional-hazards models were employed to analyze seasonality of i

228 Cox proportional hazards models were fitted to assess associations of ast

229 Cox proportional hazards models were fitted to calculate hazard ratios fo

230 Multivariable Cox proportional hazards models were fitted to evaluate the risk of NODAT

231 Unadjusted and adjusted Cox proportional hazards models were performed to compare outcomes by pat

232 Multivariable Cox proportional hazards models were performed to evaluate survival by Un

233 Cox proportional hazards models were performed to examine associations.

234 ed at 130 SELECT sites, and Cox proportional hazards models were used in a modified intent-to-treat a

235 Cox proportional hazards models were used to adjust for relevant demograp

236 Cox proportional hazards models were used to analyze the association betw

237 204 serum metabolites, and Cox proportional hazards models were used to analyze the longitudinal ass

238 Kaplan-Meier and Cox proportional hazards models were used to analyze the outcome.

239 Cox proportional hazards models were used to analyze variables associated

240 Multivariable Cox proportional hazards models were used to assess effects on noncancer

241 Multivariable Cox proportional hazards models were used to assess the association betwe

242 Multivariable Cox proportional hazards models were used to assess the relationship betw

243 Cox proportional hazards models were used to calculate hazard ratios (HRs

244 Cox proportional-hazards models were used to calculate life expectancy.

245 Proportional hazards models were used to calculate risk for all-cause

246 Cox proportional hazards models were used to calculate the hazard ratios

247 Cox proportional hazards models were used to compare incidences of stunti

248 Survival rates and Cox proportional hazards models were used to compare stage-specific 5-yea

249 Cox proportional hazards models were used to compare survival between pat

250 Cox proportional hazards models were used to compare the risk of developi

251 Cox proportional hazards models were used to compute hazard ratios and ac

252 Multivariable Cox proportional hazards models were used to compute HRs for breast cance

253 Cox proportional hazards models were used to compute the associations wit

254 Cox proportional hazards models were used to determine whether risk facto

255 Cox proportional hazards models were used to estimate adjusted hazard rat

256 Time-dependent Cox proportional hazards models were used to estimate adjusted hazard rat

257 Proportional hazards models were used to estimate adjusted HRs and 95

258 Cox proportional hazards models were used to estimate adjusted HRs and 95

259 Cox proportional hazards models were used to estimate associations per ea

260 Cox proportional hazards models were used to estimate hazard ratios (HRs)

261 Proportional hazards models were used to estimate hazard ratios and 9

262 Cox proportional hazards models were used to estimate hazard ratios and 9

263 Cox proportional hazards models were used to estimate hazard ratios(HRs)

264 Cox proportional hazards models were used to estimate hazard ratios.

265 Multivariable Cox proportional-hazards models were used to estimate hazards ratios (HRs

266 B, hazard ratios (HRs) from Cox proportional hazards models were used to estimate incident exfoliatio

267 Multivariable Cox proportional hazards models were used to estimate T2D HRs and 95% CIs

268 Cox proportional hazards models were used to estimate the association of

269 Cox proportional hazards models were used to estimate the relative mortal

270 Cox proportional hazards models were used to estimate the relative mortal

271 Cox proportional hazards models were used to evaluate body size and risk

272 Cox proportional hazards models were used to evaluate factors associated

273 Cox proportional hazards models were used to evaluate the association bet

274 s used to estimate DSS, and Cox proportional hazards models were used to evaluate the association bet

275 ses and marginal structural Cox proportional hazards models were used to evaluate the relationship be

276 Proportional subdistribution hazards models were used to examine the association betw

277 Cox proportional hazards models were used to examine the associations bet

278 Cox proportional hazards models were used to identify independent risk fa

279 Time-dependent Cox proportional hazards models were used to investigate repeated measure

280 ial logistic regression and Cox proportional hazards models were used to model progression, CKD remis

281 Cox proportional hazards models were used to model time to first MACCE ev

282 Cox proportional hazards models were used to test predictors of disease p

283 Cox proportional hazards models were used, with an incident case of HBV i

284 Cox proportional-hazards models were used.

285 ersen-Gill extension to the Cox proportional hazards model while accounting for the competing risk of

286 eled using a multivariable subdistributional hazards model while treating any other cause of death as

287 s were determined using the Cox proportional hazards model with a significance level set at P <0.05.

288 We performed a Cox proportional hazards model with propensity score weighting to evaluat

289 The performance of a Cox proportional hazards model with the SPC analysis predictor was assess

290 = .0075, respectively) and in a proportional hazards model with time-dependent covariates (adjusted h

291 and then performed a piece-wise proportional hazards modeling with 2 time periods: discharge to 90 da

292 We applied extended Cox proportional hazards modeling with time-dependent covariates to total

293 tality was determined using Cox proportional hazards models with backward stepwise selection and incl

294 Multivariable-adjusted Cox proportional hazards models with cumulative updating of exposures wer

295 In multivariable Cox proportional hazards models with follow-up through 2012, a higher fet

296 We used Cox proportional-hazards models with incident coronary heart disease and

297 hierarchical multivariable Cox proportional hazards models with occurrence of depression as a time-v

298 vember 2013, analyzed using Cox proportional hazards models with time-varying covariates.

299 fied multivariable-adjusted Cox proportional hazards modeling, with adjustment for time-updated covar

300 os (HRs) for death by using Cox proportional hazards models, with adjustment for age, sex, race/ethni