Results 71 to 80 of about 23,197,056 (323)

Central tendency and variability in biological systems: Part 2 [PDF]

open access: yesJournal of Community Hospital Internal Medicine Perspectives, 2015
This is the second article of a series on fundamental concepts in biostatistics and research. In this article, the author reviews the manner in which researchers characterize data.
Lucien J. Cardinal
doaj   +1 more source

Radiotherapy Delivery in Deep Inspiration for Pediatric Patients—Final Results of the Phase II Feasibility Study TEDDI

open access: yesPediatric Blood &Cancer, EarlyView.
Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard   +11 more
wiley   +1 more source

Estimating the mean and variance from the median, range, and the size of a sample

open access: yesBMC Medical Research Methodology, 2005
BackgroundUsually the researchers performing meta-analysis of continuous outcomes from clinical trials need their mean value and the variance (or standard deviation) in order to pool data.
S. Hozo, Benjamin Djulbegovic, I. Hozo
semanticscholar   +1 more source

Mean-field theory for scale-free random networks [PDF]

open access: yes, 1999
Random networks with complex topology are common in Nature, describing systems as diverse as the world wide web or social and business networks. Recently, it has been demonstrated that most large networks for which topological information is available ...
A. Barabási, R. Albert, Hawoong Jeong
semanticscholar   +1 more source

"Mean ± SEM" or "Mean (SD)"?

open access: yesIndian Journal of Pharmacology, 2010
Sir, Use of descriptive statistics is very common in articles published in various medical journals. For the ratio and interval data following the normal distribution, the most common descriptive statistics is mean and standard deviation (SD) and for data not following the normal distribution, it is median and range.
openaire   +3 more sources

Kernel Mean Shrinkage Estimators [PDF]

open access: yes, 2016
A mean function in a reproducing kernel Hilbert space (RKHS), or a kernel mean, is central to kernel methods in that it is used by many classical algorithms such as kernel principal component analysis, and it also forms the core inference step of modern ...
Fukumizu, Kenji   +4 more
core   +2 more sources

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura   +5 more
wiley   +1 more source

Confidence Intervals for Mean and Difference between Means of Normal Distributions with Unknown Coefficients of Variation

open access: yesMathematics, 2017
This paper proposes confidence intervals for a single mean and difference of two means of normal distributions with unknown coefficients of variation (CVs).
Warisa Thangjai   +2 more
doaj   +1 more source

A Mean Field Competition

open access: yes, 2017
We introduce a mean field game with rank-based reward: competing agents optimize their effort to achieve a goal, are ranked according to their completion time, and paid a reward based on their relative rank. First, we propose a tractable Poissonian model
Nutz, Marcel, Zhang, Yuchong
core   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser   +6 more
wiley   +1 more source

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