Background: Lung cancer is one of the most common cancers and the leading cause of death due to cancer in the world. It has the highest mortality rate compared to breast, prostate, and other cancers. Different factors can be effective in the survival of lung cancer patients. The present study has evaluated survival and its related factors. Materials and Methods: The present study was performed...

In the present study, we aimed to detect microRNA-9 (miR-9) expression level and its clinical significance in laryngeal squamous cell carcinomas (LSCC). 103 patients who were diagnosed with LSCC and treated between March 2010 and June 2013 were enrolled in this study. Expression levels of miR-9 were detected by real-time quantitative RT-PCR assay. Survival curves were estimated using the Kaplan...

Recurrent event time data are common in biomedical follow-up studies, in which a study subject may experience repeated occurrences of an event of interest. In this paper, we evaluate two popular nonparametric tests for recurrent event time data in terms of their relative efficiency. One is the log-rank test for classical survival data and the other a more recently developed nonparametric test b...

We consider a general -ary detection problem where, given groups of samples each, the problem is to identify which unique group of samples have come from the signal hypothesis. The optimal likelihood ratio test is unrealizable, when the joint distribution of samples is not completely known. In this paper we consider two rank order types of tests termed as the modified rank test (MRT) and the mo...

The logrank test is a well-known nonparametric which often used to compare the survival distributions of two samples including right-censored observations, it also known as Mantel-Haenszel test. Gρ family tests, generalizes by using weights assigned observations. In this paper, we present switch monotonicity property for was motivated need derive bounds statistic in case imprecise data This sta...

Survival analysis is widely applied in many fields such as biology, medicine, and public health. A typical analysis of survival data involves the modeling of time-to-event data, such as the time until death. To find Survival probabilities of the given observations censored or not, use Kaplan-Meier methods of estimation. But this method gives survival probabilities at any specific time. So this ...

objective the mortality of patients with locally advanced triple-negative breast cancer (tnbc) is high, and pathological complete response (pcr) to neoadjuvant chemotherapy (nac) is associated with improved prognosis. this retrospective study was designed and powered to investigate the ability of 18f-fluorodeoxyglucose positron emission tomography/computed tomography (fdg-pet/ct) to predict pat...