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1 Kaplan Meier survival analysis showed significantly shor
2 Kaplan-Meier 20-year survival was 31%.
3 Kaplan-Meier 5 year estimates of MACCE were 29% for PCI
4 Kaplan-Meier analyses revealed a flat PTC-specific patie
5 Kaplan-Meier analysis demonstrated a 5-year OS of 81% in
6 Kaplan-Meier analysis demonstrated a lower risk for graf
7 Kaplan-Meier analysis demonstrated an increased risk of
8 Kaplan-Meier analysis demonstrated complete success rate
9 Kaplan-Meier analysis demonstrated that ADT users 70 yea
10 Kaplan-Meier analysis indicated a shorter survival time
11 Kaplan-Meier analysis of disease-free survival and overa
12 Kaplan-Meier analysis of graft and patient survival foun
13 Kaplan-Meier analysis of overall survival (OS), progress
14 Kaplan-Meier analysis revealed a stepwise increase in mo
15 Kaplan-Meier analysis revealed that patients on hemodial
16 Kaplan-Meier analysis showed a mean time of recurrence o
17 Kaplan-Meier analysis showed no differences in the incid
18 Kaplan-Meier analysis showed statistically significant d
19 Kaplan-Meier analysis showed that the 1-, 5-, and 10-yea
20 Kaplan-Meier analysis showed that the complete success r
21 Kaplan-Meier analysis showed worse survival for patients
22 Kaplan-Meier analysis was performed for PTLD-free surviv
23 Kaplan-Meier analysis was used to estimate freedom from
24 Kaplan-Meier analysis, log-rank tests, Fine and Gray com
25 Kaplan-Meier and Cox proportional hazards analyses were
26 Kaplan-Meier and Cox proportional hazards models were us
27 Kaplan-Meier and Cox regression analyses were performed.
28 Kaplan-Meier and Cox regression models were used to test
29 Kaplan-Meier curve analysis indicated that the AS group
30 Kaplan-Meier curve reconstruction did not show significa
31 Kaplan-Meier curve was significantly different between g
32 Kaplan-Meier curves and adjusted Cox models were used to
33 Kaplan-Meier curves and univariable and multivariable Co
34 Kaplan-Meier curves showed 1-year survival after first s
35 Kaplan-Meier curves showed that reduced Ks and prolonged
36 Kaplan-Meier curves were compared by using log-rank test
37 Kaplan-Meier curves were used to explore the association
38 Kaplan-Meier estimate for absence of metastatic disease
39 Kaplan-Meier estimate for local control at 5 years was 7
40 Kaplan-Meier estimate for melanoma-related metastasis in
41 Kaplan-Meier estimate of relapse revealed patients with
42 Kaplan-Meier estimate of the incidence of TIA /stroke wi
43 Kaplan-Meier estimates and Cox proportional hazard regre
44 Kaplan-Meier estimates and Cox proportional hazards regr
45 Kaplan-Meier estimates for the PFS at 1, 5, and 10 years
46 Kaplan-Meier estimates of the cumulative incidence were
47 Kaplan-Meier estimates of the primary endpoint across gr
48 Kaplan-Meier estimates of the stroke rate at days 2, 7,
49 Kaplan-Meier estimates results were similar in the per-p
50 Kaplan-Meier estimates showed a reduction in the seconda
51 Kaplan-Meier estimates were used for OS analyses.
52 Kaplan-Meier estimates were used to investigate time to
53 Kaplan-Meier estimation and Cox proportional hazards mod
54 Kaplan-Meier estimation was performed, and 95% confidenc
55 Kaplan-Meier estimation was used for survival analysis w
56 Kaplan-Meier incidence over 4 years was 0.042 (95% CI, 0
57 Kaplan-Meier method and Cox regression were used to eval
58 Kaplan-Meier method and Cox regression were used to eval
59 Kaplan-Meier method estimated the probability of glaucom
60 Kaplan-Meier methods were used to determine treatment fa
61 Kaplan-Meier survival analysis did not demonstrate a dif
62 Kaplan-Meier survival analysis showed increased risk of
63 Kaplan-Meier survival curves and log-rank tests revealed
64 Kaplan-Meier survival curves assessed the timing of init
65 Kaplan-Meier survival curves estimated the time from ini
66 Kaplan-Meier survival curves rapidly declined with incre
67 d 21.3% after 5 years, P = .001 and P = .01 [Kaplan-Meier], respectively) compared with the comparato
68 37.4% after 5 years, P = .001 and P = .048 [Kaplan-Meier], respectively) and less neovascular glauco
74 learance kinetics, measured every 6 h, and a Kaplan-Meier analysis to compare parasite clearance kine
76 lity of treatment weighting (IPTW) -adjusted Kaplan-Meier curves and Cox proportional hazards regress
81 10 years using the Greenwood-Nam-D'Agostino Kaplan-Meier approach to account for dropout and loss to
84 t, Kruskal-Wallis, Spearman correlation, and Kaplan-Meier estimates; Cox regression models were perfo
86 (OS); described using cumulative-hazard and Kaplan-Meier plots and multivariable analyses by Flexibl
88 Using unadjusted and adjusted Cox models and Kaplan-Meier analysis, there was no significant differen
92 Sharing, competing risk, Cox regression and Kaplan-Meier analyses were performed on first-time liver
102 ied end point and 21% (95% CI, 7% to 26%) by Kaplan-Meier estimate in a post hoc analysis using metho
104 < 3 years), and 20% (95% CI, 10% to 37%) by Kaplan-Meier estimate in post hoc analysis using definit
107 Breast cancer-specific survival assessed by Kaplan-Meier analyses and multivariate Cox proportional
111 ncoded nucleosome organization discovered by Kaplan et al Our results establish an important connecti
113 se Neuroimaging Initiative were evaluated by Kaplan-Meier analysis and analyses of variance and covar
114 ospital all-cause mortality was evaluated by Kaplan-Meier curves and Cox proportional hazard modeling
118 apy, and other trials were pooled to compare Kaplan-Meier survival estimates in the 3 therapeutic cla
121 Receiver operating characteristic curve, Kaplan-Meier method, Cox regression, and classification
122 mated "freedom of incisional hernia" curves (Kaplan-Meier estimate) were significantly different acro
125 mes were assessed using frequency of events, Kaplan-Meier curves, and Cox proportional hazards regres
127 ues of 34 mL/m(2) for LAVI and -15% for GLS, Kaplan-Meier survival curves showed significant better s
132 ables, and other biomarkers were analyzed in Kaplan-Meier log-rank survival analysis and then multiva
134 d placebo groups, respectively, resulting in Kaplan-Meier estimates of 77.2% (95% CI 71.87-82.51) of
139 routine PPI co-prescription on the basis of Kaplan-Meier risk estimates and relative risk reduction
140 nd GEP class) was performed by comparison of Kaplan-Meier event rate curves and univariate Cox propor
143 significant differences in mortality risk on Kaplan-Meier analyses (P </= 0.002 for all PET/CT-based
145 median follow-up of 5.2 (3.6, 6.9) years on Kaplan-Meier analysis, a significant nonlinear associati
149 Among the 973 CABG and 2255 PCI patients, Kaplan-Meier major adverse cardiac event-free survival c
151 observed in progression-free survival (PFS) (Kaplan-Meier P value = 0.0166) between patients designat
152 s to develop a mathematical model to predict Kaplan-Meier survival curves for chemotherapy combined w
153 basis of personalized cytogenetic profiles, Kaplan-Meier estimates (1, 3, and 5 years) for melanoma-
155 Descriptive statistics, incidence rates, Kaplan-Meier survival curves, and the RR of NLP outcomes
156 ialysis and Transplant Association Registry, Kaplan-Meier, competing risk, and Cox regression analyse
157 Bi- and multivariable logistic regression, Kaplan-Meier analysis, and Cox proportional hazards mode
158 tory abilities of inflammation-based scores; Kaplan-Meier analysis was performed to plot the survival
160 sing a Cox hazards model, the log-rank test, Kaplan-Meier curves, competing-risks regression, and con
161 tistical analysis included chi-square tests, Kaplan-Meier survival curves, and Cox proportional-hazar
181 We used stepwise Cox regression and the Kaplan-Meier method to assess variables obtained at base
182 mor levels of EGFR with tumor stage, and the Kaplan-Meier method to estimate patients' median surviva
184 We estimated risk of CRC over time by the Kaplan-Meier method and compared immigrants to controls
185 pericarditis predicts cancer survival by the Kaplan-Meier method and Cox regression using a matched c
186 ts in the full analysis set predicted by the Kaplan-Meier method to be seizure-free at 6 months was 9
188 redicted by the nomogram and observed by the Kaplan-Meier method were similar at 3- and 5-year for pa
196 nts (age 67+/-16.2 years; 53.7% female), the Kaplan-Meier estimate for stroke/TIA recurrence within 1
197 ed in 51 patients, with no difference in the Kaplan Meier 5-year recurrence rates (10% vs. 23%; p = 0
199 With a median follow-up of 39.7 months, the Kaplan-Meier estimate for 2-year overall survival was 98
200 e extracted from the text of articles or the Kaplan-Meier curves independently by investigators who w
201 s with DCB were also superior to PTA per the Kaplan-Meier estimate for primary patency (89.0% versus
202 roportional survival hazards and plotted the Kaplan-Meier survival curves as well as the net chance o
203 tomy (RP), using descriptive statistics, the Kaplan-Meier method, and multivariable Cox proportional
204 US cancer population using an area under the Kaplan-Meier survival curve approach that combined trial
207 nfidence intervals were calculated using the Kaplan-Meier estimator stratified by the initial CD4 cel
209 by treatment cohort was estimated using the Kaplan-Meier method and analyzed using the log rank test
211 sion or recurrence) were evaluated using the Kaplan-Meier method and Cox proportional hazards modelin
213 rtality and as long-term mortality using the Kaplan-Meier method and using standardized mortality rat
214 t were evaluated and calculated by using the Kaplan-Meier method and were compared by using the log-r
215 r transplantation was estimated by using the Kaplan-Meier method compared with log-rank tests and mod
216 Survival estimates were calculated using the Kaplan-Meier method, and multivariable analysis was cond
217 estimated the distribution of TFS using the Kaplan-Meier method, assessing between-group differences
227 verall survival was also estimated using the Kaplan-Meier product-limit method and compared with a lo
235 ears of scheduled endocrine therapy, we used Kaplan-Meier and Cox regression analyses, stratified acc
240 ed-coil domains 1 (TMCO1) risk alleles using Kaplan-Meier and Cox proportional hazards analyses.
241 ity and morbidity events were analyzed using Kaplan-Meier curves and Cox proportional hazards regress
243 rs and long-term outcomes was assessed using Kaplan-Meier analyses and a Cox proportional-hazards reg
245 s of long-term mortality were assessed using Kaplan-Meier survival analyses and Cox proportional haza
247 Overall survival was estimated by using Kaplan-Meier survival and univariate Cox proportional ha
248 ree from adverse events was calculated using Kaplan-Meier curves and Cox proportional hazard ratios w
249 noma-related mortality were calculated using Kaplan-Meier estimates, and Cox proportional hazards reg
250 The risk of relapse was calculated using Kaplan-Meier methods, and predictors were determined usi
251 Overall survival (OS) was compared using Kaplan-Meier analysis with log-rank tests and multivaria
253 respect to HNSCC staging were compared using Kaplan-Meier analysis, Cox proportional hazards regressi
255 OC microarray gene expression datasets using Kaplan-Meier and multivariate Cox regression analyses an
264 fidence intervals (CIs) were estimated using Kaplan-Meier methods at 3, 12, and 36 months after treat
267 djuvant therapy regimen, was evaluated using Kaplan-Meier and Cox proportional hazards analysis.
268 oma skin cancers), which was evaluated using Kaplan-Meier survival analysis and proportional hazards
269 come was survival, which was evaluated using Kaplan-Meyer curves and adjusted Cox proportional hazard
270 Disease-free survival was examined using Kaplan-Meier curves and Cox proportional hazards regress
271 and overall survival (OS) was examined using Kaplan-Meier log-rank survival analysis and multivariate
272 nd outcome of pneumococcal meningitis, using Kaplan-Meier survival curves, bacteriological and histol
274 ated the probability of recanalisation using Kaplan-Meier analysis and conducted multivariate analysi
276 between patients with and without RVAD using Kaplan-Meier method and Cox proportional hazards modelin
277 tality were analyzed by NYHA IV status using Kaplan-Meier analysis and Cox proportional hazard models
278 ed the effect of selection for tracing using Kaplan-Meier estimates of reengagement among all patient
279 The model was internally validated using Kaplan-Meier comparison of observed vs predicted mortali
286 ere complete success rates at 24 months with Kaplan-Meier analysis and incidence of adverse events.
287 by stratified univariate log-rank test with Kaplan-Meier curves and by multivariate Cox proportional
289 patients in the radiofrequency group (1-year Kaplan-Meier event rate estimates, 10.2% and 12.8%, resp
290 d in 143 in the radiofrequency group (1-year Kaplan-Meier event rate estimates, 34.6% and 35.9%, resp
292 mponent of the dual-design study, the 5-year Kaplan-Meier estimates of the incidence of arrhythmic ev
293 rsonalized cytogenetic profiles, with 5-year Kaplan-Meier estimates ranging from 4% with chromosomes
297 In patients with DM, E/S reduced the 7-year Kaplan-Meier primary end point event rate by 5.5% absolu
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