log-rank test


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log-rank test

a measurement used to compare two or more sets of data on survival times. The data are completed lifetimes of deceased patients and current ages of those still living.
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There was a significant difference in the survival of patients who died prior to publication compared to after publication of the CHOIR and CREATE studies (log-rank test, p < 0.0001) (see Figure 1).
[11] extend the log-rank test to interval censored data.
Kaplan-Meier life-table analysis was performed, and the log-rank test was used to evaluate effects of the variables examined on the distribution of the modified PR and the defined recurrence over time.
bataua (Log-rank test, p = 0.64, [X.sup.2] = 0.23, n = 1120 and G-test, p = 0.72, G = 0.13, respectively, Fig.
Survival curves were compared by Log-rank test. Data are expressed as the mean [+ or -]SD, and differences were considered statistically significant at p < 0.05.
Subsequently, 759 (50%) progressions/deaths--a hazard ratio of 0.81 (95% CI 0.70-0.94) and P-value (log-rank test) of 0.0041, favouring the bevacizumab arm--were observed.
Una vez calculados los IC 95%, se estimo la significancia estadistica mediante la prueba de log-rank test. Si las curvas de sobrevida (Kaplan Meier) no reportaban diferencias significativas entre los grupos, se planteo la posibilidad de realizar un ajuste de las razones de tasas por las covariadas incluidas mediante modelos multivariados de riesgos proporcionales (modelo de Cox).
However, the mean survival time of participants (36.1 months) was significantly longer than that of nonparticipants (29.6 months) (log-rank test p = 0.03) (Figure 2).
Mean survival time (MST) was estimated by the Kaplan-Meier method in the SPSS software (version 10) and compared among groups by the log-rank test. Representative samples of organs from these animals were fixed in 10% neutral buffered formaldehyde for 10 days, embedded in paraffin wax and automatically processed.
Survival.--In the first trial, prey-deprived spiders survived significantly longer than water-only controls if they received 25% sucrose (log-rank test statistic = 3.71, P = 0.0002), or if they received nectar (log-rank test statistic = 4.39, P = 0.0001).
There are expanded discussions on the relevant subjects of epistemic uncertainties, crossover designs, equivalence trials and studies, hazard functions, and the log-rank test. Additionally there are sample size formulas for relative risk, odds ratio, and survival studies, illustrative examples drawn from contemporary medical literature, and numbered steps for many of the detailed procedures and remarks.
Times to response for each particular degraded animal sound in each group were also reported as Kaplan-Meier survival functions with equality of survivor functions between groups compared with a log-rank test for each degraded animal sound.