Results 31 to 40 of about 1,198,652 (310)

Confidence Intervals: From tests of statistical significance to confidence intervals, range hypotheses and substantial effects [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2006
For the last 50 years of research in quantitative social sciences, the empirical evaluation of scientific hypotheses has been based on the rejection or not of the null hypothesis.
Dominic Beaulieu-Prévost
doaj  

Calculating unreported confidence intervals for paired data

open access: yesBMC Medical Research Methodology, 2011
Background Confidence intervals (or associated standard errors) facilitate assessment of the practical importance of the findings of a health study, and their incorporation into a meta-analysis.
Fagerland Morten W, Hirji Karim F
doaj   +1 more source

The fallacy of placing confidence in confidence intervals [PDF]

open access: yesPsychonomic Bulletin & Review, 2015
Interval estimates - estimates of parameters that include an allowance for sampling uncertainty - have long been touted as a key component of statistical analyses. There are several kinds of interval estimates, but the most popular are confidence intervals (CIs): intervals that contain the true parameter value in some known proportion of repeated ...
Morey, Richard D   +4 more
openaire   +8 more sources

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro   +11 more
wiley   +1 more source

Becoming confident about confidence intervals [PDF]

open access: yesThe Bone & Joint Journal, 2017
A clear understanding of variability is at the heart of many of the studies published in The Bone & Joint Journal . The terms variability, dispersion, spread, distribution and variance, amongst others, are used to refer to the range of values within a dataset.
Perry, DC   +5 more
openaire   +3 more sources

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook   +6 more
wiley   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters   +17 more
wiley   +1 more source

Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley   +1 more source

A Method for Confidence Intervals of High Quantiles

open access: yesEntropy, 2021
The high quantile estimation of heavy tailed distributions has many important applications. There are theoretical difficulties in studying heavy tailed distributions since they often have infinite moments.
Mei Ling Huang, Xiang Raney-Yan
doaj   +1 more source

Erratum to {A}ppendix C of "A review of effect sizes and their confidence intervals, Part I: The Cohen's d family" [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2020
The results of the method for estimating confidence intervals according to Steiger and Fouladi (1997) were not displayed correctly in our published paper (Figure 7 in Appendix C). We correct the figure here.
Goulet-Pelletier , Jean-Christophe   +1 more
doaj   +1 more source

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