Sentence examples for probability for change from inspiring English sources

A trait with high evolvability has a relatively high probability for change that will lead to viable results.

§Mean of 100000 samples from posterior distributions of probability for change in BCVA from baseline category.

The comparisons continued to favour ranibizumab over dexamethasone at month 6.> -wrap-foot>> -wrap-foot> §Mean of 100000 samples from posterior distributions of probability for change in BCVA from baseline category.

For this reason, the GENEVA scale was not of as much interest.> -wrap-foot>> -wrap-foot> §Mean of 100000 samples from posterior distributions of probability for change in BCVA from baseline category.

In our previous paper, we explicitly derived the transient conditional probabilities for changes in binding site number and proposed a stochastic model for TFBS evolution (Wagner et al. 2007).

Probabilities for changes in category from baseline to Week 12 were estimated using a logistic regression of the data set, excluding the few subjects with missing or best (5) baseline category or with missing outcome category (see Table  2 and Figure  4).

The logistic regression model estimates the probability for structural change.

As a simple model of DNA evolution, the Jukes-Cantor formula [33] is applied to estimate a probability of change for each base pair, with a customizable transition rate α (0.001 by default) and time t based on the edge weights.

Maximum-likelihood (ML) estimates of substitution parameters were made with the program TREEPUZZLE-50 [ 57] assuming a mixed model for variation among sites, with one category for invariable sites and a four-category discrete approximation to Γ-distribution, and the JTT weighting matrix for probability of change among amino acids.

They also had a higher probability for "horizontal changes", but a lower probability for an "upward career" and "fluctuating patterns".

The coefficients indicate the change in this probability for an infinitesimal change in a continuous explanatory variable and the discrete change when dummies change from 0 to 1.