Artificial neural networks are a powerful tool for analyzing data sets where there are complicated nonlinear interactions between the measured inputs and the quantity to be predicted. We show that the results obtained when neural networks are applied to survival data depend critically on the treatment of censoring in the data. When the censoring is modeled correctly, neural networks are a robus...

In this paper, we estimate the sensitivity of the adaptive censoring algorithm towards the change of the input parameters of pulse jamming of an Adaptive Postdetection Integration (API) CFAR processor. The censoring algorithm estimates the background environment and automatically defines the scale factor. We propose this algorithm to be used for the estimation of both, the probability of appear...

Two studies documented the American English usage frequencies for ninety-seven nouns that occur with sentence complements (e.g., "rumor," "The rumor that the student cheated..."). An established usage preference methodology was used (see Connine, Ferreira, Jones, Clifton, & Frazier, 1984; Kennison, 1999). In Study 1, participants completed short fragments that did not contain the overt compleme...

Do I or do not have the right to tell my story?
 This is question asked at 2020 talk on Creativity in Protesting Islamic Fundamentalism TedX Warwick’s within Crisis event. Ironically, censorship of ex-Muslims was itself censored by TedX, first its refusal publish due ‘political content’ and then publishing after public pressure but without any slides – addition a trigger warning: ‘Some vie...

In life history studies, interest often lies in the analysis of the interevent, or gap times and the association between event times. Gap time analyses are challenging however, even when the length of follow-up is determined independently of the event process, because associations between gap times induce dependent censoring for second and subsequent gap times. This article discusses nonparamet...

We extend the Tarone and Ware scheme of weighted log-rank tests to cover the associated weighted Mantel-Haenszel estimators of relative risk. Weighting functions previously employed are critically reviewed. The notion of an average hazard ratio is defined and its connection to the effect size measure P(Y > X) is emphasized. The connection makes estimation of P(Y > X) possible also under censori...

Complex longitudinal data are commonly analyzed using nonlinearmixed-effects NLME models with a normal distribution. However, a departure fromnormalitymay lead to invalid inference and unreasonable parameter estimates. Some covariates may be measured with substantial errors, and the response observations may also be subjected to left-censoring due to a detection limit. Inferential procedures ca...

In order to make statistical inference, that is drawing conclusions from a sample to describe a population, it is crucial to know the correct distribution of the data. This paper focused on censored data from the normal distribution. The purpose of this paper was to answer whether we can test if data comes from a censored normal distribution. This by using normality tests and tests designed for...