Low detection limits are common in measure environmental variables. Building models using data containing low or high detection limits without adjusting for the censoring produces biased models. This paper offers approaches to estimate an inverse Gaussian distribution when some of the data used are censored because of low or high detection limits. Adjustments for the censoring can be made if th...

The demand and growth for published research in the field of multiple sclerosis (MS) has increased exponentially over the last few years. The primary aim of the Multiple Sclerosis Journal (MSJ) has always been to reflect the excellent work of the ever-expanding and diverse clinical and research field of MS, and this role will now be shared by MSJ’s companion journal MSJ Experimental, Translatio...

BACKGROUND Due to early colonoscopy for some participants, interval-censored observations can be introduced into the data of a colorectal polyp prevention trial. The censoring could be dependent of risk of recurrence if the reasons of having early colonoscopy are associated with recurrence. This can complicate estimation of the recurrence rate. METHODS We propose to use midpoint imputation to...

In this article we present an approach for tackling three important aspects of text normalization: sentence boundary disambiguation, disambiguation of capitalized words in positions where capitalization is expected, and identification of abbreviations. As opposed to the two dominant techniques of computing statistics or writing specialized grammars, our document-centered approach works by consi...

The immune microenvironment is considered a major obstacle to generating an effective antitumor immune response. Checkpoint inhibitors manipulate the co-stimulatory response between antigen-presenting cells and immune cells-or between the tumor and immune cells-to elicit an antitumor immune response that would have otherwise been suppressed. Checkpoint inhibitors have shown great promise in the...

There are often reasons to suppose that there is dependence between the time to event and time to censoring, or informative censoring, for survival data, particularly when considering medical data. This is because the decision to treat or not is often made according to prognosis, usually with the most ill patients being prioritised. Due to identifiability issues, sensitivity analyses are often ...

Spectrum vacancies that stem from current non-usage of the spectrum band by legacy primary users can be detected using various spectrum sensing techniques. These techniques depend on the actual knowledge of the radio environment being inspected, i.e. signal characteristics, noise levels etc. The simplest and most common spectrum sensing technique is energy based detection that needs no a priori...

SUMMARY In clinical studies, when censoring is caused by competing risks or patient withdrawal, there is always a concern about the validity of treatment effect estimates that are obtained under the assumption of independent censoring. Because dependent censoring is nonidentifiable without additional information, the best we can do is a sensitivity analysis to assess the changes of parameter es...