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Independent risk factors effective on mortality were evaluated by logistic regression test indicating APACHE and blood urea nitrogen(BUN) value as independent risk factors in terms of mortality.
Association was carried out by logistic regression test.
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bStatistical significance determined by logistic regression tests.
P-value is significant at P ≤ 0.050.bStatistical significance determined by logistic regression tests.
Secondary analyses included change in FACT-H&N score and KPS, time to and duration of target tumour response, effect of covariates on target tumour response by logistic regression testing, and response of all treated tumours.
By using logistic regression test we have found that non smokers and light smokers (1-19PY) were protected against bladder cancer development.
95% CI: Confidence Interval, 1*: reference group, **: Corrected p value (Bonferroni's correction) By using logistic regression test we have found that non smokers and light smokers (1-19PY) were protected against bladder cancer development (Table 3).
The method involves stratifying rare missense substitutions observed in cases and/or controls into a series of grades ordered a priori from least to most likely to be evolutionarily deleterious, followed by a logistic regression test for trends to compare the frequency distributions of the graded missense substitutions in cases versus controls.
Statistical analysis was performed using chi-square, followed by a binary logistic regression test.
To investigate the association between survival status and each potential risk factor, odds ratios were computed and p values were evaluated by using univariate logistic regression test, where applicable [ 12].
Univariate differences in the proportions between groups were tested by χ test and logistic regression test was used to calculate crude and adjusted ORs of CMV seroprevalence by selected predictors in bivariate and trivariate regression models.
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