Sentence examples for multivariable survival time from inspiring English sources

Exact(3)

Briefly, after exclusion of MMR-deficient cases from the test cohort, univariate analysis and multivariable survival time models were assessed to identify the strongest independent prognostic protein markers and their combined value.

In this study, we document a poorer overall and recurrence-free survival time with high expression of Msi1 in univariate but not multivariable survival time analysis, indicating that the poor prognostic role of Msi1 may be secondary to their association with other established prognostic criteria.

In addition, we document a poorer survival time with loss of membranous expression of both these protein markers in univariate but not multivariable survival time analysis, indicating that the poor prognostic impact of CD44s and CD166 may be secondary to their association with other established prognostic criteria.

Similar(57)

Multivariable cancer-specific survival time models were evaluated by including candidate variables such as age, sex, pT and pN classification, vascular invasion and MSI status.

The Stata and R code can be found at along with tutorials on using the code (including survival time data, multivariable models, joint and conditional models), discussions of how to interpret decision curves, and code to implement correction for overfit by repeated 10-fold cross-validation.

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.

We determined the association of AEs in the ICU with time to death and time to hospital discharge using multivariable survival analysis models.

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

Table 2 shows the hazard ratios from multivariable survival analysis showing the associations of time-to-assessment with patient characteristics.

The analysis of case series of pulmonary metastasectomy for colorectal cancer typically includes multivariable analysis for factors that are associated with survival time.

To adjust for possible confounding factors, we performed multivariable analysis with HTLV status as an independent variable, survival time as a dependent variable, and possible confounding factors as covariates.

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