Results 61 to 70 of about 30,987,372 (386)
Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy +5 more
wiley +1 more source
Descriptive statistics for symbolic interval-valued data
The Indian Journal of Agricultural Sciences, 2014 It is, by now, well recognized that real data are in intervals and not in points. Unfortunately, classical statistical theory is not capable of handling data in intervals. Here, methodology for drawing univariate and bivariate histograms and computation
H K RANGANATH, PRAJNESHU, HIMADRI GHOSH
doaj +1 more source
Some Analyses of Interval Data
Journal of Computing and Information Technology, 2008 Contemporary computers bring us very large datasets, datasets which can be too large for those same computers to analyse properly. One approach is to aggregate these data (by some suitably scientific criteria) to provide more manageably-sized datasets. These aggregated data will perforce be symbolic data consisting of lists, intervals, histograms, etc.
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source
Regression models for interval censored data using parametric pseudo-observations
BMC Medical Research Methodology, 2021 Background Time-to-event data that is subject to interval censoring is common in the practice of medical research and versatile statistical methods for estimating associations in such settings have been limited.
Martin Nygård Johansen +3 more
doaj +1 more source
Confidence Intervals for Current Status Data [PDF]
Scandinavian Journal of Statistics, 2005 In the current status censoring model, we consider i.i.d. \((X_i,T_i)\) with \(X_i>0\), \(T_i>0\), \(X_i\) independent of \(T_i\).
Banerjee, Moulinath, Wellner, Jon A.
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson +20 more
wiley +1 more source
Measuring the overall performances of decision-making units in the presence of imprecise data [PDF]
Journal of Optimization in Industrial Engineering, 2012 Data envelopment analysis (DEA) is a method for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs.
Hossein Azizi +2 more
doaj
BMC Medical Research Methodology, 2022 Background Currently, the direct method is the main approach for establishment of reference interval (RI). However, only a handful of studies have described the effects of sample size on establishment of RI and estimation of sample size.
Chaochao Ma +8 more
doaj +1 more source
Which interval is most crucial to presentation and survival in gastroesophageal cancer: a systematic review [PDF]
, 2017 Aim: The aim of this study was to identify the most crucial interval to encourage earlier diagnosis in with gastroesophageal cancer and to identify potential factors effecting this interval.
Khulusi, Sam, Lee, Amanda, Watson, Roger
core +2 more sources