ライフサイエンスコーパス: Cox proportional hazards model

1 y was higher in men than in women (P<0.0001, Cox proportional hazards model).

2 (HR+) breast cancer (using the multivariable Cox proportional hazards model).

3 52 and SE of 0.02 for a previously published Cox proportional hazards model.

4 sk model and transplant-free survival with a Cox proportional hazards model.

5 ncidence were estimated with a multivariable Cox proportional hazards model.

6 men who did not; we further adjusted using a Cox proportional hazards model.

7 Rs) with 95% CIs were estimated by using the Cox proportional hazards model.

8 among DMT stoppers were investigated using a Cox proportional hazards model.

9 ed with those from standard analyses using a Cox proportional hazards model.

10 bsolute Shrinkage and Selection Operator for Cox proportional hazards model.

11 ting for clinically relevant covariates in a Cox proportional hazards model.

12 Hazard ratios (HRs) were estimated with the Cox proportional hazards model.

13 type of dementia, separately, using adjusted Cox proportional hazards models.

14 is employed Kaplan-Meier curves and adjusted Cox proportional hazards models.

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

16 ere associated with mortality using adjusted Cox proportional hazards models.

17 study follow-up were defined in time-updated Cox proportional hazards models.

18 was determined using multivariable-adjusted Cox proportional hazards models.

19 s estimated from a sequence of multivariable Cox proportional hazards models.

20 to 90 days was examined with time-dependent Cox proportional hazards models.

21 95% confidence intervals were obtained using Cox proportional hazards models.

22 Associations were tested using Cox proportional hazards models.

23 cardiovascular mortality were assessed using Cox proportional hazards models.

24 (2,636 incident cases) were estimated using Cox proportional hazards models.

25 free and overall survival was performed with Cox proportional hazards models.

26 and overall survival (OS) were analyzed with Cox proportional hazards models.

27 scription using multivariate regression with Cox proportional hazards models.

28 ranslation were evaluated using log-rank and Cox proportional hazards models.

29 ed using logistic and linear regression, and Cox proportional hazards models.

30 tched and traditional multivariable-adjusted Cox proportional hazards models.

31 auses of death was estimated with the use of Cox proportional hazards models.

32 isk factors for epilepsy were assessed using Cox proportional hazards models.

33 ion models and time to binary outcomes using Cox proportional hazards models.

34 ts, and all-cause mortality using univariate Cox proportional hazards models.

35 s evaluated as a time-dependent covariate in Cox proportional hazards models.

36 ted hospitalizations with death and MI using Cox proportional hazards models.

37 ng a smooth function based on residuals from Cox proportional hazards models.

38 ted using mixed random and fixed effects and Cox proportional hazards models.

39 Kaplan-Meier survival analysis and adjusted Cox proportional hazards models.

40 and all-cause mortality were examined using Cox proportional hazards models.

41 ciation of CAC with ASCVD was examined using Cox proportional hazards models.

42 ld income, and area-based deprivation) using Cox proportional hazards models.

43 Adjusted hazard ratios were estimated using Cox proportional hazards models.

44 ts are expressed as hazard ratios (HRs) from Cox proportional hazards models.

45 Associations were tested via multivariate Cox proportional hazards models.

46 r the risk of developing breast cancer using Cox proportional hazards models.

47 fidence intervals (CIs) were estimated using Cox proportional hazards models.

48 analyzed using life tables and time-varying Cox proportional hazards models.

49 s) and 95% CIs estimated using multivariable Cox proportional hazards models.

50 and with survival after ALS diagnosis using Cox proportional hazards models.

51 en groups using univariate and multivariable Cox proportional hazards models.

52 tality were assessed using Andersen-Gill and Cox proportional hazards models.

53 or hemorrhagic), using survival analyses and Cox proportional hazards models.

54 11 California State Inpatient Database using Cox proportional hazards models.

55 l to WU completion or KT were examined using Cox proportional hazards models.

56 ors of HIV-1 infection among vaccinees using Cox proportional hazards models.

57 range with incident AF was examined by using Cox proportional hazards models.

58 s index and mortality was investigated using Cox proportional hazards models.

59 rostate cancer, using multivariable-adjusted Cox proportional hazards models.

60 etween treated and untreated groups by using Cox proportional hazards models.

61 ed crude incidence rates (IRs) and developed Cox proportional hazards models.

62 are tests, Kaplan-Meier survival curves, and Cox proportional-hazards models.

63 itis and survival curves were measured using Cox-proportional hazards models.

64 riate survival analyses were performed using Cox-proportional hazards models.

65 evaluated using the Kaplan-Meier method and Cox proportional hazards modeling.

66 is was performed using step-up and step-down Cox proportional hazards modeling.

67 uated using Kaplan-Meyer curves and adjusted Cox proportional hazards modeling.

68 inical prognostic factors were identified by Cox proportional hazards modeling.

69 aplan-Meier event rate curves and univariate Cox proportional hazards modeling.

70 d without RVAD using Kaplan-Meier method and Cox proportional hazards modeling.

71 assessed using univariable and multivariable Cox proportional hazards modeling.

72 d we assessed covariables as predictors with Cox proportional hazards modelling.

73 Cox proportional hazards models accounting for competing

74 Cox proportional hazards models, accounting for time und

75 al infarction was examined with the use of a Cox proportional hazards model adjusted for potential co

76 d cause-specific mortality was assessed with Cox proportional hazards models adjusted for age, sex, A

77 In Cox proportional hazards models adjusted for age, sex, e

78 In Cox proportional hazards models adjusted for age, sex, r

79 s of biomarkers with SAR were analyzed using Cox proportional hazards models adjusted for clinicopath

80 Time to death was studied with Cox proportional hazards models adjusted for demographic

81 with overall and CRC-related survival using Cox proportional hazards models adjusted for demographic

82 05 persons 60 years of age or older, we used Cox proportional-hazards models adjusted for age and sex

83 However, a Cox proportional hazards model, adjusted for age, sex, a

84 We fitted Cox proportional hazards models, adjusted for known conf

85 ls for lithium exposure were estimated using Cox proportional hazards models, adjusted for potential

86 ation between genotype and OS is assessed by Cox proportional hazards model adjusting for age, sex, I

87 ates of 30-day readmission, we constructed a Cox proportional hazards model adjusting for age, sex, r

88 isks and 95% confidence intervals (CIs) from Cox proportional hazards models adjusting for baseline p

89 nson's disease, and multiple sclerosis using Cox proportional hazards models, adjusting for individua

90 In Cox proportional hazards models, ADT was associated with

91 Survival was assessed using a Cox proportional hazards model after adjusting for the p

92 and the likelihood to receive an OLT using a Cox proportional hazards model and a generalized additiv

93 nd analyzed for predictors of outcome with a Cox proportional hazards model and linear regression.

94 Cox proportional hazards model and logistic regression w

95 e-specific survival (DSS) were assessed with Cox proportional hazards modeling and a competing risk a

96 ath and aortic dissection were identified by Cox proportional hazards modeling and a mortality risk s

97 failure within 1-year after surgery by using Cox proportional hazards models and hazard ratios.

98 mographic and clinical characteristics using Cox proportional hazards models and inverse probability

99 We used Cox proportional hazards models and inverse probability-

100 rence free survival (RFS) were determined by Cox proportional hazards models and Kaplan-Meier method.

101 Cox proportional hazards models and logistic regression

102 A risk score was derived using multivariate Cox proportional hazards models and standard clinical pr

103 k of loss of patency was assessed by using a Cox proportional hazards model, and a multiple variable

104 sing the Kaplan-Meier method, log-rank test, Cox proportional hazards models, and propensity score-ma

105 istic regression, Kaplan-Meier analysis, and Cox proportional hazards models, as well, were developed

106 Cox proportional hazards modeling assessed the associati

107 The multivariate Cox proportional hazards model based on significant prog

108 f updated postdiagnostic diet using adjusted Cox proportional hazards models based on follow-up until

109 Using sex-stratified multivariable-adjusted Cox proportional hazards models, black women and men wer

110 After adjusting for 34 covariates in a Cox proportional hazards model, borderline PH was associ

111 We propose new Bayesian hierarchical Cox proportional hazards models, called the spike-and-sl

112 Using Cox proportional hazards modeling, class 2 GEP was the p

113 Using competing risk and Cox proportional hazards models, clinical factors at bas

114 (HRs) of breast cancer were estimated using Cox proportional hazards models, considering exposure as

115 In a multivariable Cox proportional hazards model controlling for sociodemo

116 A multivariate Cox proportional hazards model demonstrated that multifo

117 In multivariable Cox proportional hazards models, elevated HDGF levels pr

118 Cox proportional hazards models estimated the risk of mo

119 For accepted offers, Cox proportional hazards models estimated these probabil

120 Multivariable Cox proportional hazards models fit to individual patien

121 sex differences in rehospitalization using a Cox proportional hazards model, following sequential adj

122 For each outcome, we first ran a Cox proportional hazards model for each city, adjusting

123 ime to relapse; the hazard ratio, based on a Cox proportional hazards model for lisdexamfetamine vs p

124 o assess the usefulness of extensions of the Cox proportional hazards model for repeated events in th

125 Fits of the Cox proportional hazards model for the 2 sets of prognos

126 By using the Cox proportional hazards model for univariate and multiv

127 itiative Observational Study, we constructed Cox proportional hazards models for CHD including age, p

128 orbidities, medications, and biomarkers into Cox proportional hazards models for each outcome.

129 lated Kaplan-Meier probability estimates and Cox proportional hazards models for post-HCT outcomes ba

130 Cox proportional hazards models for recurrent gap-time d

131 The primary analysis using a Cox proportional hazards model gave a mortality reductio

132 We estimated all-cause mortality using Cox proportional hazards models; hazard ratios with 95%

133 In Cox proportional hazards models, higher levels of miR-12

134 The Cox proportional hazards model identified RFA as an inde

135 level of P < .10 constructed a multivariate Cox proportional hazards model in which the impact of ea

136 isk of SCD by using an age- and sex-adjusted Cox proportional-hazards model, in all participants and

137 ith adjustments for covariates, results from Cox proportional hazards models, including SBP and DBP,

138 In multivariable-adjusted Cox proportional hazards models, increasing years of bas

139 acute kidney injury [AKI]) was studied using Cox proportional hazards models (intention-to-treat and

140 Marginal structural Cox proportional hazards modeling investigated the relat

141 In time-varying Cox proportional hazards models, liver transplantation (

142 A Cox proportional hazards model of survival outcome indic

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

144 tios for mortality censored at 14 days using Cox proportional hazards models on an IPW-adjusted cohor

145 The software enables analyses under a Cox proportional hazards model or Weibull regression mod

146 On Cox proportional hazards modeling, patients achieving re

147 In a time-dependent Cox proportional-hazards model, picobirnaviruses were pr

148 mortality was analyzed using a multivariable Cox proportional hazards model, providing hazard ratios

149 In the adjusted Cox proportional hazards model, reinfection with a heter

150 sed using Kaplan-Meier survival analyses and Cox proportional hazards modeling, respectively.

151 ng multivariate linear regression models and Cox proportional hazards models, respectively.

152 Multivariable Cox proportional hazards modeling revealed no effect of

153 For the 0.10-mg/m3 exposure level, Cox proportional hazards models showed significantly inc

154 adenocarcinoma only through a multivariable Cox proportional hazards model stratified by trial.

155 ence of BMPR2 mutation were calculated using Cox proportional hazards models stratified by cohort.

156 Associations were evaluated with weighted Cox proportional hazards models stratified by race/ethni

157 Cox proportional hazards models, stratified according to

158 Cox proportional hazards models, stratified by age, were

159 eese, and butter were tested with the use of Cox proportional hazards models that were adjusted for a

160 illion (ppb) for ozone using a two-pollutant Cox proportional-hazards model that controlled for demog

161 In the Cox-proportional hazards model, the use of induction of

162 We first fitted a Cox proportional hazards model to examine the relation o

163 ndertook a multifactorial analysis using the Cox proportional hazards model to identify factors affec

164 We used a Cox proportional hazards model to identify index case, c

165 We used Cox proportional hazards modeling to assess sequentially

166 ose in the general adult population and used Cox proportional hazards modeling to estimate determinan

167 We used Cox proportional hazards modeling to estimate hazard rat

168 We used Cox proportional hazards modeling to examine the associa

169 We used Cox proportional hazards models to assess associations o

170 We fit Cox proportional hazards models to assess the associatio

171 We first developed multivariable Cox proportional hazards models to determine predictors

172 We used adjusted Cox proportional hazards models to determine risks of de

173 rt (CRIC) and Hispanic-CRIC Studies, we used Cox proportional hazards models to determine the associa

174 We used Cox proportional hazards models to estimate age- and mul

175 We used Cox proportional hazards models to estimate associations

176 The authors used Cox proportional hazards models to estimate hazard ratio

177 We used Cox proportional hazards models to estimate HRs and 95%

178 We used Cox proportional hazards models to estimate HRs and thei

179 We used Cox proportional hazards models to examine the associati

180 ine in the Cardiovascular Health Study using Cox proportional hazards models to examine the associati

181 We used multivariable Cox proportional hazards models to examine the associati

182 We fitted Cox proportional hazards models to examine the associati

183 y using Kaplan-Meier survival and univariate Cox proportional hazards models to examine the effect of

184 and did not file for bankruptcy, we then fit Cox proportional hazards models to examine the relations

185 Meier method to estimate 5-year survival and Cox proportional hazards models to generate hazard ratio

186 We used univariate analysis and Cox proportional hazards models to identify the independ

187 We used multivariable Cox proportional hazards models to independently estimat

188 We used Cox proportional hazards models to investigate whether a

189 We used Cox proportional hazards models to obtain adjusted hazar

190 aseline at the individual patient level with Cox proportional hazards models to quantify associations

191 We applied Cox proportional hazards models to test the potential HT

192 We used Cox proportional hazards models to test whether biomarke

193 t to create the six exposure metrics and fit Cox proportional hazards models to the simulated data us

194 ording to the Kaplan-Meier method and used a Cox proportional-hazards model to adjust for significant

195 We used Cox proportional-hazards models to assess the risk of al

196 We used Cox proportional-hazards models to test whether the risk

197 In a time-dependent Cox proportional hazards model, transmissions with 80% t

198 mic therapies in a propensity score-weighted Cox proportional hazards model using data from the Briti

199 Multivariate Cox proportional hazards models using time-dependent end

200 Cox proportional hazards models using time-updated covar

201 ed risk factors for disengagement based on a Cox proportional hazards model, using multiple imputatio

202 ) were estimated with multivariable adjusted Cox proportional hazards models, using the 120-129 mm Hg

203 A multivariable Cox proportional hazards model was developed to determin

204 ted with mid-term all-cause mortality, and a Cox proportional hazards model was developed.

205 The marginal Cox proportional hazards model was used to assess the fa

206 Cox proportional hazards model was used to calculate haz

207 A univariate Cox proportional hazards model was used to correlate dis

208 Multivariate Cox proportional hazards model was used to generate the

209 A Cox proportional hazards model was used to investigate f

210 Conditional Cox proportional hazards modeling was used to compare th

211 Multivariable Cox proportional hazards modeling was used to estimate h

212 sed to determine treatment failure rates and Cox proportional hazards modeling was used to identify r

213 Cox-proportional hazards model was used to assess PFS in

214 on eight clinical variables and a penalised Cox proportional-hazards model, was used to compare meth

215 Using a Cox proportional hazards model, we identified predictors

216 Using Cox proportional hazards models, we calculated hazard ra

217 Using multivariable Cox proportional hazards models, we compared cumulative

218 Using covariate-adjustment Cox proportional hazards models, we estimated associatio

219 Using Cox proportional hazards models, we estimated hazard rat

220 Using multivariable Cox proportional hazards models, we estimated hazard rat

221 Using Cox proportional hazards models, we evaluated both metri

222 os (HRs) for SMN and death calculated by the Cox proportional hazards model were compared with those

223 Hazard ratios from stratified Cox proportional hazards models were 1.01, 0.89, and 1.0

224 Cox proportional hazards models were adjusted for demogr

225 Cox proportional hazards models were applied to determin

226 Multivariate Cox proportional hazards models were computed.

227 Kaplan-Meier estimation and Cox proportional hazards models were conducted to identi

228 Cox proportional hazards models were fitted to assess as

229 Cox proportional hazards models were fitted to calculate

230 Multivariable Cox proportional hazards models were fitted to evaluate

231 Unadjusted and adjusted Cox proportional hazards models were performed to compar

232 Multivariable Cox proportional hazards models were performed to evalua

233 Cox proportional hazards models were performed to examin

234 Cox proportional hazards models were stratified by age a

235 y and were enrolled at 130 SELECT sites, and Cox proportional hazards models were used in a modified

236 Cox proportional hazards models were used to adjust for

237 Cox proportional hazards models were used to analyze the

238 d and quantitated 204 serum metabolites, and Cox proportional hazards models were used to analyze the

239 Kaplan-Meier and Cox proportional hazards models were used to analyze the

240 Cox proportional hazards models were used to analyze var

241 Multivariable Cox proportional hazards models were used to assess effe

242 Multivariable Cox proportional hazards models were used to assess the

243 Multivariable Cox proportional hazards models were used to assess the

244 Cox proportional hazards models were used to calculate h

245 Cox proportional hazards models were used to calculate t

246 Cox proportional hazards models were used to compare inc

247 Survival rates and Cox proportional hazards models were used to compare sta

248 Cox proportional hazards models were used to compare sur

249 Cox proportional hazards models were used to compare the

250 Cox proportional hazards models were used to compare the

251 Cox proportional hazards models were used to compute haz

252 Multivariable Cox proportional hazards models were used to compute HRs

253 Cox proportional hazards models were used to compute the

254 Cox proportional hazards models were used to determine w

255 Cox proportional hazards models were used to estimate ad

256 Time-dependent Cox proportional hazards models were used to estimate ad

257 Cox proportional hazards models were used to estimate ad

258 Cox proportional hazards models were used to estimate as

259 Cox proportional hazards models were used to estimate ha

260 Cox proportional hazards models were used to estimate ha

261 Cox proportional hazards models were used to estimate ha

262 Cox proportional hazards models were used to estimate ha

263 Multivariable Cox proportional hazards models were used to estimate ha

264 Cox proportional hazards models were used to estimate ha

265 In substudy B, hazard ratios (HRs) from Cox proportional hazards models were used to estimate in

266 Multivariable Cox proportional hazards models were used to estimate T2

267 Cox proportional hazards models were used to estimate th

268 Cox proportional hazards models were used to estimate th

269 Cox proportional hazards models were used to estimate th

270 Nested, multivariable Cox proportional hazards models were used to estimate th

271 Cox proportional hazards models were used to evaluate bo

272 Cox proportional hazards models were used to evaluate fa

273 Cox proportional hazards models were used to evaluate th

274 n-Meier method was used to estimate DSS, and Cox proportional hazards models were used to evaluate th

275 al landmark analyses and marginal structural Cox proportional hazards models were used to evaluate th

276 Cox proportional hazards models were used to examine the

277 Cox proportional hazards models were used to identify in

278 Time-dependent Cox proportional hazards models were used to investigate

279 Binomial logistic regression and Cox proportional hazards models were used to model progr

280 Cox proportional hazards models were used to model time

281 Cox proportional hazards models were used to test predic

282 Cox proportional hazards models were used, with an incid

283 Time-dependent Cox proportional hazards models were used.

284 Cosinor analysis and Cox proportional-hazards models were employed to analyze

285 Cox proportional-hazards models were used to calculate l

286 Multivariable Cox proportional-hazards models were used to estimate ha

287 Cox proportional-hazards models were used.

288 red using the Andersen-Gill extension to the Cox proportional hazards model while accounting for the

289 with the outcomes were determined using the Cox proportional hazards model with a significance level

290 We performed a Cox proportional hazards model with propensity score wei

291 The performance of a Cox proportional hazards model with the SPC analysis pre

292 We applied extended Cox proportional hazards modeling with time-dependent co

293 prediction of mortality was determined using Cox proportional hazards models with backward stepwise s

294 Multivariable-adjusted Cox proportional hazards models with cumulative updating

295 In multivariable Cox proportional hazards models with follow-up through 2

296 Using hierarchical multivariable Cox proportional hazards models with occurrence of depre

297 April 2002 and November 2013, analyzed using Cox proportional hazards models with time-varying covari

298 We used Cox proportional-hazards models with incident coronary h

299 Sex-stratified multivariable-adjusted Cox proportional hazards modeling, with adjustment for t

300 mated hazard ratios (HRs) for death by using Cox proportional hazards models, with adjustment for age