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1  (n = 3) of those without LGE (p < 0.001 for Kaplan-Meier survival curves).
2 tiglaucoma medications, time to failure, and Kaplan-Meier survival curve.
3 lmic slit-lamp biomicroscopy and analyzed by Kaplan-Meier survival curve.
4 imately 4 mo) than FVB mice evaluated by the Kaplan-Meier survival curve.
5 CLL cumulative incidence was estimated using Kaplan-Meier survival curves.
6     Hazard ratios (HRs) were calculated from Kaplan-Meier survival curves.
7 rmed using mixed-effects linear modeling and Kaplan-Meier survival curves.
8  graft survival over time was analyzed using Kaplan-Meier survival curves.
9 ting-characteristic (ROC) curve analysis and Kaplan-Meier survival curves.
10 ing univariate and multivariate analyses and Kaplan-Meier survival curves.
11 atistics included a descriptive analysis and Kaplan-Meier survival curves.
12 ion-free survival rates were estimated using Kaplan-Meier survival curves.
13 e mortality was calculated from standardized Kaplan-Meier survival curves.
14 y were also determined by comparing adjusted Kaplan-Meier survival curves.
15                 Univariate analysis included Kaplan-Meier survival curves.
16 by using Cox proportional hazards models and Kaplan-Meier survival curves.
17 eriod and graft survival was evaluated using Kaplan-Meier survival curves.
18 is ability remained strong on time-dependent Kaplan-Meier survival curves.
19 activation of the lesion were analyzed using Kaplan-Meier survival curves.
20   The log-rank procedure was used to compare Kaplan-Meier survival curves.
21 ferences were tested by log-rank tests using Kaplan-Meier survival curves.
22 e than 1.27 (high risk) was used to stratify Kaplan-Meier survival curves.
23  1-hour survival were analyzed with chi2 and Kaplan-Meier survival curves.
24                                              Kaplan-Meier survival curves, adjusted risk ratios (aRRs
25                                     Further, Kaplan-Meier survival curve analysis demonstrated that l
26                                              Kaplan-Meier survival curve analysis revealed that wild-
27 my), or a sham operation (controls) by using Kaplan-Meier survival curve analysis.
28                                            A Kaplan-Meier survival curve and log-rank test were used
29                                              Kaplan-Meier survival curves and a Cox proportional haza
30 ention effect was estimated using unadjusted Kaplan-Meier survival curves and a Cox proportional haza
31 over), analysed via intention to treat using Kaplan-Meier survival curves and a proportional hazards
32  analysis, investigators often present crude Kaplan-Meier survival curves and adjusted relative hazar
33                                              Kaplan-Meier survival curves and area under the receiver
34                Drug survival was analyzed by Kaplan-Meier survival curves and associated characterist
35                      Descriptive statistics, Kaplan-Meier survival curves and Cox proportional hazard
36                                              Kaplan-Meier survival curves and Cox proportional hazard
37 ounts using log-rank tests of differences in Kaplan-Meier survival curves and Cox proportional hazard
38 were compared between these two groups using Kaplan-Meier survival curves and Cox proportional hazard
39            Graft survival was analyzed using Kaplan-Meier survival curves and Cox regression analysis
40                                              Kaplan-Meier survival curves and Cox regression models w
41                                              Kaplan-Meier survival curves and Cox regression revealed
42                Statistical analysis included Kaplan-Meier survival curves and Cox regression.
43 mission after CAS compared with CEA, we used Kaplan-Meier survival curves and fitted mixed-effects lo
44  time-to-event analyses, were estimated with Kaplan-Meier survival curves and hazard ratios (Cox regr
45                                              Kaplan-Meier survival curves and log-rank tests revealed
46 f AF on outcomes was evaluated by unadjusted Kaplan-Meier survival curves and logistic regression mod
47 bgroups defined by these measurements, using Kaplan-Meier survival curves and multivariate Cox propor
48                                 We generated Kaplan-Meier survival curves and performed a multivariab
49                                              Kaplan-Meier survival curves and rank test for matched s
50  We used standard survival methods including Kaplan-Meier survival curves and sex-by-treatment intera
51                                              Kaplan-Meier survival curves and the Wilcoxon test were
52                                              Kaplan-Meier-Survival curves and ROC curves were constru
53 high-grade rejection within 90 days by chi2, Kaplan Meier survival curves, and by multivariable logis
54  RRD were measured using Poisson regression, Kaplan-Meier survival curve, and Cox proportional hazard
55    Catheter patency was described by using a Kaplan-Meier survival curve, and number of catheter days
56 tistical analysis included chi-square tests, Kaplan-Meier survival curves, and Cox proportional-hazar
57  characteristic curve, calibration analyses, Kaplan-Meier survival curves, and decision curves.
58                 Analysis was performed using Kaplan-Meier survival curves, and Kaplan-Meier estimates
59 vival using Cox proportional hazards models, Kaplan-Meier survival curves, and the log-rank test.
60     Descriptive statistics, incidence rates, Kaplan-Meier survival curves, and the RR of NLP outcomes
61 US cancer population using an area under the Kaplan-Meier survival curve approach that combined trial
62 roportional survival hazards and plotted the Kaplan-Meier survival curves as well as the net chance o
63                                              Kaplan-Meier survival curves assessed the timing of init
64 nd outcome of pneumococcal meningitis, using Kaplan-Meier survival curves, bacteriological and histol
65                                              Kaplan-Meier survival curves compared time to death for
66 as allograft survival is represented using a Kaplan-Meier survival curve comparing (1) locally procur
67                        Data were analyzed by Kaplan-Meier survival curves, Cox regression, and binary
68                                              Kaplan-Meier survival curves demonstrated comparable 3-y
69                                          The Kaplan-Meier survival curves differed significantly for
70 ermanent ventilation was not reached and the Kaplan-Meier survival curve diverged from a published na
71                                              Kaplan-Meier survival curves estimated the time from ini
72 x proportional hazards model, log-rank test, Kaplan-Meier survival curve, Fisher exact test, and t te
73                              In this case, a Kaplan-Meier survival curve for a specific cause that tr
74 s to develop a mathematical model to predict Kaplan-Meier survival curves for chemotherapy combined w
75                                              Kaplan-Meier survival curves for each cohort were not si
76                                              Kaplan-Meier survival curves for overall survival showed
77                                              Kaplan-Meier survival curves for the 2 procedures were c
78 eflected in good separation of tertile-based Kaplan-Meier survival curves for these variables.
79                                              Kaplan-Meier survival curves indicated a 33% 5-year surv
80 pression (odds ratio 7.17 [95% CI 1.5-34.5]; Kaplan-Meier survival curve, log-rank statistic 9.11 [p=
81                           Analyses included: Kaplan-Meier survival curves, Log-Rank tests, and Cox pr
82            Survival data were analyzed using Kaplan-Meier survival curves, log-rank tests, and propor
83                                              Kaplan-Meier survival curves, log-rank tests, and Weibul
84                                 According to Kaplan-Meier survival curve loss of response was less fr
85                                              Kaplan-Meier survival curves of MDI-based risk classes s
86                                              Kaplan-Meier survival curves of OSSN recurrence were sim
87 88.6, 88.9]), and the separation between the Kaplan-Meier survival curves of patients stratified into
88 ay graphic technique was used to compare the Kaplan-Meier survival curves of patients with local recu
89           We find additional support through Kaplan-Meier survival curves of thousands of patients.
90 ffected by identified variables, we compared Kaplan-Meier survival curves of transplanted and control
91 ost previous studies contrasted (unadjusted) Kaplan-Meier survival curves or, if covariate-adjusted,
92  of a lethal dose of B. dermatitidis yeasts (Kaplan-Meier survival curve P values of 0.027 to 0.0002)
93 ual change rates of segmental brain volumes, Kaplan-Meier survival curves plotting time to event for
94              Observed median survival times, Kaplan-Meier survival curves, proportional death hazard
95                                              Kaplan-Meier survival curves rapidly declined with incre
96                                              Kaplan-Meier survival curves, results of log rank tests,
97                                     Adjusted Kaplan-Meier survival curves revealed that at any point
98                                              Kaplan-Meier survival curve showed that lower RhoB expre
99                                              Kaplan-Meier survival curves showed an increased number
100                                              Kaplan-Meier survival curves showed better survival in P
101 ues of 34 mL/m(2) for LAVI and -15% for GLS, Kaplan-Meier survival curves showed significant better s
102  and 0.612 for OS and PFS, respectively, and Kaplan-Meier survival curves showed significant differen
103                                              Kaplan-Meier survival curves showed statistically signif
104                                              Kaplan-Meier survival curves showed that influenza-infec
105                                              Kaplan-Meier survival curves showed that the uninsured g
106                                              Kaplan-Meier survival curves showed that these events oc
107                                              Kaplan-Meier survival curves showed the 20-30-year-old a
108                               In that study, Kaplan-Meier survival curves suggested worse cardiovascu
109                                              Kaplan-Meier Survival Curve suggests improved transplant
110                                      We used Kaplan-Meier survival curves to display the time to join
111                                            A Kaplan-Meier survival curve was used to describe the apn
112 val rate as assessed by log rank analyses of Kaplan-Meier survival curves was significantly lower for
113                                              Kaplan Meier survival curves were analyzed with the log
114                                              Kaplan-Meier survival curves were also compared after st
115                                              Kaplan-Meier survival curves were also generated.
116                                              Kaplan-Meier survival curves were calculated for time to
117 he occurrence of a cardiovascular event, and Kaplan-Meier survival curves were calculated.
118                                              Kaplan-Meier survival curves were compared with the two-
119                                              Kaplan-Meier survival curves were computed for risk scor
120                                              Kaplan-Meier survival curves were constructed and multiv
121                                              Kaplan-Meier survival curves were constructed to assess
122                                              Kaplan-Meier survival curves were constructed to depict
123                                              Kaplan-Meier survival curves were constructed using mean
124                                              Kaplan-Meier survival curves were constructed, and Cox p
125                                              Kaplan-Meier survival curves were drawn for midterm outc
126                                              Kaplan-Meier survival curves were examined for differenc
127 os (HR), 95% confidence intervals (CIs), and Kaplan-Meier survival curves were generated by gender an
128                                              Kaplan-Meier survival curves were generated by treatment
129                                              Kaplan-Meier survival curves were generated for each gen
130                                              Kaplan-Meier survival curves were generated to examine a
131                                              Kaplan-Meier survival curves were obtained by the log-ra
132 ation, Cox proportional hazard analyses, and Kaplan-Meier survival curves were performed within the T
133                                              Kaplan-Meier survival curves were plotted for renal allo
134                                              Kaplan-Meier survival curves were plotted to determine c
135                                              Kaplan-Meier survival curves were used to analyze the da
136                                              Kaplan-Meier survival curves were used to compare graft
137                                              Kaplan-Meier survival curves were used to estimate age-s
138                                              Kaplan-Meier survival curves were used to estimate bupre
139                                              Kaplan-Meier survival curves were used to examine time t
140 ox proportional hazard regression models and Kaplan-Meier survival curves were used to identify predi
141                                              Kaplan-Meier survival curves were used to illustrate the
142                                              Kaplan-Meier survival curves, Wilcoxon test, and univari
143 othelial dystrophy (FED) were analyzed using Kaplan-Meier survival curves with log-rank test and Cox
144                                        Using Kaplan-Meier survival curves with log-rank tests, health
145    Survival differences were evaluated using Kaplan-Meier survival curves with multivariable Cox prop

 
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