Sentence examples for mixed survival from inspiring English sources

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The dnIGE model also extends the mixed survival model described in Ducrocq and Casella (1996) to estimate genetic parameters of time-to-event traits, where only one frailty term was considered.

We evaluated lesion latency [defined as time (PND) to reach palpable lesion] and lesion aggression [defined as the time from first palpable mass to time of mass ≥ 1 cm in diameter (PND)] by the hazard ratio (HR), using a mixed survival model in SUDAAN 9.0 software (Research Triangle Institute, Research Triangle Park, NC), with litter as a random effect.

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Time-until-event data were analyzed with a mixed cure survival model using Gibbs sampling, treating susceptibility and endurance as separate genetic traits.

Using repeat observations of male TRFs sampled once only may therefore lead to pseuoreplication if offspring are used as independent observations (e.g. in a mixed model survival analysis with father identity as a random factor).

Four statistical models were compared: a linear mixed model for survival time, two linear mixed models for survival (0/1), and a generalized linear mixed model for survival (0/1).

Really worth checking out are Melbourne-based Zero Latency VR's mixed reality zombie survival crossover with Sega Live Creations at the Yokohama Joypolis theme park or Bandai Namco's VR Gundam Wing arcades in Odaiba.

This statistical model assumes a mixed distribution of survival time among cured patients and uncured patients.

The Wald and log-rank tests were used respectively for mixed models and survival analyses based on the TTD to test the rejection of the null hypothesis.

Tolerance of turbulence, growth within well-mixed watermasses and survival and dispersal while entrained within current systems are well developed capacities among dinoflagellates.

Assuming a negligible contribution of Treg to the fraction of CD3-activated CD4+ T cells, the responsive cells display superior survival in mixed cultures (p<0.001 vs isolated cells, Figure 5B).

While rigorous statistical methods, such as mixed effects regression or survival analysis techniques, are the preferred method for deriving mean assay window periods (see e.g., [22]), such methods require substantially larger sample sizes than were available for this analysis.

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