ライフサイエンスコーパス: hazard model

1 continuation (multivariable Cox proportional hazard model).

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

3 LS dataset in comparison to Cox proportional hazard model.

4 os were calculated with the Cox proportional hazard model.

5 t were calculated using the Cox proportional hazard model.

6 ots for each cause-specific Cox proportional hazard model.

7 the log-hazard ratio of the Cox proportional hazard model.

8 g Kaplan-Meier analysis and Cox proportional hazard models.

9 d suicide were estimated by Cox proportional hazard models.

10 ion in tree mortality using Cox proportional hazard models.

11 Risks were estimated with Cox proportional hazard models.

12 ere analyzed using adjusted Cox proportional hazard models.

13 d all-cause mortality using Cox proportional hazard models.

14 ing for surveillance within Cox proportional hazard models.

15 using linear, logistic, and Cox proportional hazard models.

16 vate reevaluation of these issues in seismic hazard models.

17 ith 12-week mortality using Cox proportional hazard models.

18 for a previously published Cox proportional hazards model.

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

20 imated with a multivariable Cox proportional hazards model.

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

22 we further adjusted using a Cox proportional hazards model.

23 ly relevant covariates in a Cox proportional hazards model.

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

25 lity was investigated using Cox proportional hazards models.

26 ction among vaccinees using Cox proportional hazards models.

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

28 curves were measured using Cox-proportional hazards models.

29 sing multivariable-adjusted Cox proportional hazards models.

30 d untreated groups by using Cox proportional hazards models.

31 alyses were performed using Cox-proportional hazards models.

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

33 separately, using adjusted Cox proportional hazards models.

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

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

36 th mortality using adjusted Cox proportional hazards models.

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

38 sing multivariable-adjusted Cox proportional hazards models.

39 a sequence of multivariable Cox proportional hazards models.

40 xamined with time-dependent Cox proportional hazards models.

41 tervals were obtained using Cox proportional hazards models.

42 ociations were tested using Cox proportional hazards models.

43 cases) were estimated using Cox proportional hazards models.

44 rtality were assessed using Cox proportional hazards models.

45 survival was performed with Cox proportional hazards models.

46 and linear regression, and Cox proportional hazards models.

47 pilepsy were assessed using Cox proportional hazards models.

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

49 ultivariate regression with Cox proportional hazards models.

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

51 onal multivariable-adjusted Cox proportional hazards models.

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

53 eloping breast cancer using Cox proportional hazards models.

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

55 timated using multivariable Cox proportional hazards models.

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

57 l after ALS diagnosis using Cox proportional hazards models.

58 ident all-cause mortality using proportional hazards models.

59 nivariate and multivariable Cox proportional hazards models.

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

61 using survival analyses and Cox proportional hazards models.

62 te Inpatient Database using Cox proportional hazards models.

63 lative hazards with conditional proportional hazards models.

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

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

66 by Kaplan-Meier curves and Cox proportional hazard modeling.

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

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

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

70 factors were identified by Cox proportional hazards modeling.

71 rate curves and univariate Cox proportional hazards modeling.

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

73 lan-Meier survival analysis and proportional hazards modeling.

74 ivariable and multivariable Cox proportional hazards modeling.

75 ariables as predictors with Cox proportional hazards modelling.

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

77 icant predictor of CKD in a Cox proportional hazard model adjusted for age, diabetes, serum creatinin

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

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

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

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

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

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

84 r analyses and multivariate Cox proportional hazard modeling, adjusted for treatment, patient age, ye

85 ugh logistic regression and Cox proportional hazard models, adjusted for potential confounders, inclu

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

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

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

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

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

91 obtained from multivariable Cox proportional hazard models, adjusting for lifestyle and dietary facto

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

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

94 Hazards models also suggested an association between low

95 ios (HRs) were estimated by Cox proportional hazard model and compared subjects with 3 to 4 and subje

96 Cox proportional-hazard modeling and Kaplan-Meier analyses were used to e

97 ed by multivariate-adjusted Cox proportional hazard models and propensity score analysis.

98 Cox proportional hazard models and Recursive Partitioning and Amalgamatio

99 group was determined using Cox proportional hazard models and time-dependent receiver-operator curve

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

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

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

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

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

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

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

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

108 Cox proportional hazards modeling assessed the association between quarti

109 We used Cox proportional hazard models at the person-quarter level to examine ass

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

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

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

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

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

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

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

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

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

119 Cox proportional-hazard modeling demonstrated a lower death hazard ratio

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

121 Cox proportional hazards models estimated the risk of mortality associate

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

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

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

125 d constructed multivariable Cox proportional hazard models for mortality and hospitalization.

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

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

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

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

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

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

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

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

134 tality were evaluated using Cox proportional hazard models (from 12 weeks postpartum to March 2012).

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

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

137 In cause-specific hazard models, HTN (adjusted hazard ratio [HR]: 1.71; 95

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

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

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

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

142 In proportional hazards model, insurance and tumor characteristics match

143 Marginal structural Cox proportional hazards modeling investigated the relationships between

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

145 We used Cox proportional hazard models, logistic regression models, and Fine-Gray

146 A multivariable Cox proportional hazard model of Cohort #2, incorporating gender and trad

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

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

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

150 In the final multivariate hazard model, preservice characteristics of not being a

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

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

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

154 The multivariate Cox proportional hazard model showed that PRT was an independent benefit

155 The multivariate Cox proportional hazard models showed that glucocorticoid significantly i

156 0.10-mg/m3 exposure level, Cox proportional hazards models showed significantly increased risk of mo

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

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

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

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

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

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

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

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

165 We used Cox proportional hazard models to analyze the association between statin

166 ysis with log-rank test and Cox proportional hazard models to assess independent prognostic factors f

167 We used Cox proportional hazard models to assess risk of exacerbations, pneumonia

168 We also used Andersen-Gill proportional hazard models to assess the influence of ambient tempera

169 We used Cox proportional hazard models to calculate hazard ratios (HRs) and 95% c

170 We used Cox proportional hazard models to calculate multivariate-adjusted hazard

171 We used Cox proportional hazard models to estimate HRs and 95% CIs for esophageal

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

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

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

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

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

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

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

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

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

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

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

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

184 We used proportional hazards models to estimate associations.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

202 e AD-associated SNPs into a Cox proportional hazard model using genotype data from a subset of 6,409

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

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

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

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

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

208 ing logistic regression and Cox proportional hazard model was performed to identify independent risk

209 A stratified Cox proportional hazard model was used to estimate the cause-specific haz

210 The Cox proportional hazard model was used to test univariate and multivariat

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

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

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

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

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

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

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

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

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

220 Using Cox proportional hazard models, we compared neighborhood mortality effect

221 Using Cox proportional hazard models, we estimated IHD mortality hazard ratios

222 Using discrete time-hazard models, we followed up families without mental he

223 Using Cox proportional hazard models, we found that a higher degree of optimism

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

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

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

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

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

229 potential confounders, and Cox proportional hazard models were applied.

230 Cox proportional hazard models were used for time-to-event analyses with

231 per 1000 patient-days, and Cox proportional hazard models were used for time-to-event analyses.

232 Cox proportional hazard models were used to assess variables associated w

233 Cox proportional hazard models were used to determine mortality risk.

234 ivariable and multivariable Cox proportional hazard models were used to determine the association bet

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

236 Time-varying Cox proportional hazard models were used to estimate HRs and their 95% co

237 Cox proportional hazard models were used to estimate the association betw

238 Piecewise Cox proportional hazard models were used to estimate the association betw

239 peting risks regression and Cox proportional hazard models were used to evaluate whether the degree o

240 Cox proportional hazard models were used to identify risk factors for inc

241 Logistic regression or Cox proportional hazard models were used to test associations between the

242 Cox proportional hazards models were adjusted for demographic and cardiov

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

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

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

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

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

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

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

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

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

252 204 serum metabolites, and Cox proportional hazards models were used to analyze the longitudinal ass

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

254 Cox proportional hazards models were used to analyze variables associated

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

278 Cox proportional hazards models were used to evaluate factors associated

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

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

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

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

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

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

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

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

287 ing) was determined using a Cox proportional hazard model, while correcting for the use of other lipi

288 Cox proportional hazard model with restricted cubic spline were used to e

289 n to those without and used Cox proportional hazard models with frailties to examine associations wit

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

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

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

293 = .0075, respectively) and in a proportional hazards model with time-dependent covariates (adjusted h

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

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 Cox proportional hazard models, with robust sandwich variance estimates t

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