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.
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.
It is important to note that in the Tables, the 95% C.I. are calculated separately for each prevalence estimate and are not associated with the Wald F statistics that were generated by the logistic regression tests for trends.
For the evaluation of clinical features of the patients of Group 1 and Group 4, risk factors including nPCR, albumin, diabetes mellitus, gender, age at initiation of study, and HD vintage were analyzed by stepwise forward multivariate logistic regression tests (Table 2).
Reported exact p values, odd ratios (ORs), and 95% confidence intervals (CIs) were determined with exact conditional logistic regression tests by using LogXact 5 software (Cytel Inc., Cambridge, MA, USA) when analyses did not yield exact values with SAS software.
The correlation between the magnitude of mandibular setback with the presence of TMJ clicking symptoms and lip sensation was also assessed by the Chi-square and Logistic regression tests.
Change in the probability of testing fevers was not well described by the logistic regression; testing rates fluctuated over time and were determined by many factors.
By using logistic regression test we have found that non smokers and light smokers (1-19PY) were protected against bladder cancer development.
