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Differences between probabilities were tested with chi-square tests.
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Differences between means were tested at the 5% probability level using Duncan test.
Differences between groups were tested by Kruskal-Wallis and Fisher's exact test with two-tailed probability.
Differences between groups were tested by chi-square test and Fisher's exact test with two-tailed probability as appropriate.
Cumulative survival probabilities were estimated using the Kaplan Meier method, and differences between survival rates were tested for significance using the log-rank test.
Cumulative survival probabilities were estimated using the Kaplan Meier method, and the differences between survival rates were tested for significance using the log-rank test.
Differences between the means were tested by analysis of variance and Tukey-Kramer honestlyesignificanticant difference) test between each group, and categorical variables were compared using the χ test or Fisher's exact probability test.
Probability threshold values between 0.05 and 1 were tested using the entire training set in order to evaluate the training data error rate, also known as the resubstitution error rate (here the same data set is used both to train the predictor and to assess its performance).
In a multiple QTL model using identity-by-descent (IBD) probabilities between haplotypes, various haplotype definitions were tested i.e. including 2, 6, 12 or 20 marker alleles and clustering base haplotypes related with an IBD probability of > 0.55, 0.75 or 0.95.
The analysis also shows a negative association between stigmatizing beliefs and the probability of being tested for HIV.
The significance of the distribution of alleles between the patients and the controls was tested by the χ-method with Fisher's exact probability test (P-value test).
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