Results 161 to 170 of about 3,518,988 (354)

Confidence intervals for correlations when data are not normal

Behavior Research Methods, 2017
Anthony J. Bishara, J. Hittner
semanticscholar   +1 more source

The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley   +1 more source

Revisiting inference for ARMA models: Improved fits and superior confidence intervals. [PDF]

PLoS One
Wheeler J, Ionides EL.
europepmc   +1 more source

Discussion of "Confidence Intervals for Nonparametric Empirical Bayes Analysis". [PDF]

J Am Stat Assoc, 2022
Xie D, Stephens M.
europepmc   +1 more source

Predictors of T2D Remission (n = 1897). Footnote: The forest plot displays adjusted odds ratios (AORs) with 95% confidence intervals (CI) for various parameters to identify predictors. Each circle represents the point estimate, and the horizontal lines show the 95% confidence intervals, which reflect the range within which the true AOR falls. The dashed vertical line at AOR = 1 represents the line of no effect for predictors post-intervention.

Pramod Tripathi (18501225), Nidhi Kadam (18501228), Thejas Kathrikolly (13931158), Diptika Tiwari (6727811), Anagha Vyawahare (18501231), Baby Sharma (18501234), Malhar Ganla (18933704), Banshi Saboo (309669)   +7 more
openalex   +1 more source

Fletcher-Turek Model Averaged Profile Likelihood Confidence Intervals

, 2014
Paul Kabaila, A. H. Welsh, Waruni Abeysekera   +2 more
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Within-subject confidence intervals for pairwise differences in scatter plots. [PDF]

Psychon Bull Rev
Schütz AC, Gegenfurtner KR.
europepmc   +1 more source

Confidence intervals and sample size planning for optimal cutpoints. [PDF]

PLoS One, 2023
Thiele C, Hirschfeld G.
europepmc   +1 more source

On the Predictability of Kibbutz Financial Distress: A Principal Component Analysis with Bootstrap Confidence Intervals

, 2001
Arieh Avishur, Yigal Tsoref
openalex   +2 more sources