Results 131 to 140 of about 962,551 (312)
Summary Background Dichotomisation of statistical significance, rather than interpretation of effect sizes supported by confidence intervals, is a long-standing problem.
Karla Hemming +6 more
doaj +1 more source
Confidence intervals and standard errors for ratios of normal variables [PDF]
William P. Dunlap, N. Clayton Silver
openalex +1 more source
ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source
Confidence intervals for prevalence estimates from complex surveys with imperfect assays. [PDF]
Bayer DM, Fay MP, Graubard BI.
europepmc +1 more source
Correction: Calculating confidence intervals for regression and correlation [PDF]
Paul Elliott +7 more
openalex +1 more source
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin +12 more
wiley +1 more source
The Correct Interpretation of Confidence Intervals
Sze Huey Tan MSc, BEng +1 more
doaj +1 more source
Points: Inappropriate use of confidence intervals [PDF]
Peter W. Macfarlane
openalex +1 more source
Relapsing–Remitting Multiple Sclerosis Is Associated With a Dysbiotic Oral Microbiome
ABSTRACT Objective Multiple sclerosis (MS) is a chronic autoimmune disorder characterized by inflammation, demyelination, and neurological impairment. While the gut microbiota's role in MS is extensively studied, the association between the oral microbiota and MS remains underexplored, particularly in North American cohorts.
Sukirth M. Ganesan +12 more
wiley +1 more source
Random error units, extension of a novel method to express random error in epidemiological studies
Imre Janszky,1 Johan Håkon Bjørngaard,1 Pål Romundstad,1 Lars Vatten,1 Nicola Orsini2 1Deparment of Public Health, Faculty of Medicine and Health, Norwegian University of Science and Technology, Trondheim, Norway; 2Department of Public
Janszky I +4 more
doaj

