Sentence examples for multivariable survival data from inspiring English sources

Exact(3)

Cox Proportional Hazards Regression analysis was used to retrieve baseline survival function and to model multivariable survival data.

Alongside this, an additional hindrance to meta-analysis of prognostic literature is the general lack of multivariable survival data.

Cox proportional hazard models for multivariable survival data (adjusted for surgeon clustering using a sandwich covariance matrix estimator) were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs) for the type of tibial component and risk of all-cause and aseptic revision.

Similar(57)

Survival data were evaluated using univariate and multivariable Cox regression analyses.

In the main analyses, we used multivariable survival analytical methods for right-censored time-to-event data (Cox, 1972).

After fitting the multivariable standard Cox-PH model for all causes mortality survival data, the Schoenfeld residuals test indicated that the model violated the proportional hazard assumption (global test, p <0.01; diabetes, p = 0.07).

Multivariable survival analytical methods for right-censored time-to-event data were based on the following choices: time 0 was defined as the date of the first chemotherapy treatment and the event of interest was death because of any cause.

Nevertheless, it should be remarked that survival outcomes have not been confirmed with our own survival data and in the setting of a multivariable analysis.

Due to the minority of studies reporting multivariable analyses, no attempt was made to use any adjusted survival data as part of this meta-analysis (i.e. only univariate survival data were extracted).

Relative excess risks of death were estimated using a multivariable generalized linear model with a Poisson distribution, based on collapsed relative survival data, using exact survival times.

Relative excess risk (RER) of death and P values were estimated by a multivariable generalized linear model with a Poisson distribution based on collapsed relative survival data based on exact survival times.

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