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Haviland points out that binomial proportion statistics is invalid for follow-ups less than 5 years and that the appropriate statistical methodology is survival analysis for local recurrence.
1, 7– 9 The authors used binomial proportion statistics to show equivalence between the mature cohort (2,232 patients, median FU = 3 years, 7 months), the earliest cohort (1,222 patients, median FU = 5 years), and the total cohort (3,451 patients, median FU = 2 years 5 months).
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Analysed with 2-proportion statistics Analysed with chi-square Analysed with t-test This survey has given estimates of demographic data on a random sample of dogs between 1 and 3 years in the insured dog population.
A p-value was finally computed from the median of the binomial proportion test statistics over the ten replicas.
For comparisons of proportions, χ statistics were used.
In order to describe the responses to all questions, these were subject to descriptive statistics: proportions, proportions ± 95% confidence interval (CI) and tests for proportion differences where appropriate.
In this way, p‐values for each test statistic under the alternative distribution were estimated by the proportion of larger statistics under the null distribution, as described in [ 14].
First, we code immigrant organizations in official data and compare their number and proportion with population statistics; we find substantially fewer immigrant organizations than we would expect.
An FDR was calculated as the proportion of permuted statistics more significant, divided by 5.
We used summary statistics (proportion, mean and SD) to describe the data.
In descriptive statistics, proportion is used to describe categorical and numerical variables; mean and SD are used to describe continuous variables.
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