Sentence examples for proportion data to from inspiring English sources
Vine category proportion data were compared to the measured vine proportion data to validate the basic assumption supporting these calculations.
71 Further, we will convert the proportion data to probabilities of experiencing benefit to calculate pooled RRs and numbers needed to treat (NNTs).
We calculated standard errors for all proportion data according to the following formula: SE = square root [ p*(1 − p)/ n], where p is the proportion of females remating and n is the number of trials in that particular test.
The bag-fraction determines the proportion of data to be selected at each step and therefore the model stochasticity; for example a bag fraction of 0.5 means that 50% of the data are drawn at random without replacement.
The proportion of data to include in each sample is, however, arbitrary and although estimates of predictive accuracy from this approach are unbiased, they also tend to be imprecise.
Therefore, we empirically identified the optimal proportion of data to assign to training (the best-fit analysis) from the analysis that produced the smallest coefficient of variation for the realized accuracies generated in the BayesCπ analyses of the 20 bootstrap replicates provided that > 50% of the data were used in training.
Each repeat class was analyzed separately, and proportion data were logit-transformed prior to analysis to better meet assumptions of normality and homogeneity of variance.
Thus, under the hypothesis that missing data are caused by allelic dropout, we expect a higher proportion of missing data to be accompanied by a higher proportion of homozygous genotypes.
The McNemar test was used to compare proportion data before and after video education.
All analyses were performed in Minitab and all proportion data were arcsine transformed prior to analysis.
Several statistical regression models to manage continuous proportion data are compared, these being: Generalized linear models (GLM) with Binomial, Poisson and Gamma errors after several transformations of the data and Beta regression on the raw data.
