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Confidence intervals: Concepts, fallacies, criticisms, solutions and beyond [PDF]
Network Biology, 2022 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
Alternatives to P value: confidence interval and effect size [PDF]
Korean Journal of Anesthesiology, 2016 The previous articles of the Statistical Round in the Korean Journal of Anesthesiology posed a strong enquiry on the issue of null hypothesis significance testing (NHST).
Dong Kyu Lee
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Bootstrap confidence intervals for predicted rainfall quantiles
, 2001 Rainfall probability charts have been used to quantify the effect of the Southern Oscillation Index (SOI) on rainfall for many years. To better understand the effect of the SOI phases, we discuss forming confidence intervals on the predicted rainfall ...
Dunn, P K, Dunn, Peter K.
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Redefining the Confidence Interval
Human and Ecological Risk Assessment: An International Journal, 2005 The confidence interval, its close cousin the p-value, and other statistical summaries of data are widely used in science, including the occupational and environmental health sciences, but they are almost as widely misused. My purpose here is to review some basic matters that should be covered in every introductory statistics course, but are generally ...
openaire +2 more sources
Parameter estimation without confidence intervals? [PDF]
Epidemiology and Health, 2016 Jong-Myon Bae
doaj +3 more sources
Empirical likelihood confidence intervals for complex sampling designs
, 2016 We define an empirical likelihood approach which gives consistent design-based confidence intervals which can be calculated without the need of variance estimates, design effects, resampling, joint inclusion probabilities and linearization, even when the
De La Riva Torres, O., Berger, Y.G.
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa +7 more
wiley +1 more source
Quantile Regression Estimates of Confidence Intervals for WASDE Price Forecasts [PDF]
This study uses quantile regressions to estimate historical forecast error distributions for WASDE forecasts of corn, soybean, and wheat prices, and then compute confidence limits for the forecasts based on the empirical distributions.
Isengildina-Massa, Olga +2 more
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