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Confidence intervals: Concepts, fallacies, criticisms, solutions and beyond [PDF]
For a long time, confidence interval theory is the basis of statistics, and confidence interval has been regarded as an important content of statistical analysis.
WenJun Zhang
doaj
Clinical significance of stratifying prostate cancer patients through specific circulating genes
We tested a specific panel of genes representative of luminal, neuroendocrine and stem‐like cells in the blood of prostate cancer patients, showing predictive value from diagnosis to late stages of disease. This approach allows monitoring of treatment responses and outcomes at specific time points in trajectories.
Seta Derderian+12 more
wiley +1 more source
Clinical utility of cerebrospinal fluid biomarkers measured by LUMIPULSE® system
Abstract Objectives Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are well‐established in research settings, but their use in routine clinical practice remains a largely unexploited potential. Here, we examined the relationship between CSF biomarkers, measured by a fully automated immunoassay platform, and brain β‐amyloid (Aβ ...
Hisashi Nojima+9 more
wiley +1 more source
Democratic Confidence Intervals for comparing two Proportions [PDF]
We offer methods to create an accurate graph for comparing confidence intervals for two proportions. The firstmethod involves using weighted sum contrasts when fitting logistic regression with a binary explanatory variable.
Phattrawan Tongkumchum+3 more
doaj
Effect size, confidence intervals and statistical power in psychological research. [PDF]
Quantitative psychological research is focused on detecting the occurrence of certain population phenomena by analyzing data from a sample, and statistics is a particularly helpful mathematical tool that is used by researchers to evaluate hypotheses and ...
Téllez A.+2 more
doaj +1 more source
Inferential Statistics Is an Unfit Tool for Interpreting Data
Null hypothesis significance testing is a commonly used tool for making statistical inferences in empirical studies, but its use has always been controversial. In this manuscript, I argue that even more problematic is that significance testing, and other
Anders Sand
doaj +1 more source
Advantages of Monte Carlo Confidence Intervals for Indirect Effects
Monte Carlo simulation is a useful but underutilized method of constructing confidence intervals for indirect effects in mediation analysis. The Monte Carlo confidence interval method has several distinct advantages over rival methods. Its performance is
Kristopher J Preacher, J. Selig
semanticscholar +1 more source
Using mass cytometry, we analyzed serial blood samples from patients with relapsed epithelial ovarian cancer (EOC) treated with oleclumab–durvalumab combination immunotherapy in the NSGO‐OV‐UMB1/ENGOT‐OV30 trial. Our analysis identified potential predictive, monitoring, and response biomarkers detectable through liquid biopsy. These findings facilitate
Luka Tandaric+11 more
wiley +1 more source
Effects of pregnancy on neuromyelitis optica spectrum disorder and predictors of related attacks
Abstract Objective Our study aimed to investigate the influence of pregnancy on the course of neuromyelitis optica spectrum disorders (NMOSD) and to explore the independent predictors of pregnancy‐related attacks. Methods We performed a retrospective study of patients with NMOSD based on the Wingerchuk 2006 or the revised Wingerchuk 2015 criteria ...
Qin Du+7 more
wiley +1 more source
On randomized confidence intervals for the binomial probability [PDF]
Suppose that X_1,X_2,...,X_n are independent and identically Bernoulli(theta) distributed. Also suppose that our aim is to find an exact confidence interval for theta that is the intersection of a 1-\alpha/2 upper confidence interval and a 1-\alpha/2 lower confidence interval.
arxiv