Previously, researchers were reported P value as a basis for conclusion, but in this era of evidence-based medicine we are interested now about the precision of the results obtained that allow us to make right decisions in health care practice. The confidence interval (CI) of a parameter goes beyond the P value by also reflecting the precision of the degree to which one can estimate the true population difference. For a particular size of the difference in the population, the larger sample size, the smaller the P value and the narrower will be the CI
Introduction: Reporting confidence intervals in scientific articles is important and relevant for ev...
P values and confidence intervals (CIs) are the most widely used statistical indices in scientific l...
Interval estimates – estimates of parameters that include an allowance for sampling uncertainty – ha...
In the clinical study researchers want to answer the most important question whether a new therapy i...
In the clinical study researchers want to answer the most important question whether a new therapy i...
This article examines the role of the confidence interval (CI) in statistical inference and its adva...
When considering the results of a study that reports one treatment to be better than another, what t...
The estimation approach to statistical analysis aims to quantify the effect of interest as an "estim...
When conducting research on a given type of patients, it is impossible to examine all the existing s...
Abstract. The estimation approach to statistical analysis aims to quantify the effect of interest as...
Interval estimates -- estimates of parameters that include an allowance for sampling uncertainty -- ...
A confidence interval (CI) is an interval estimate of a population parameter. Instead of estimating ...
The abundant use of p-values and statistical significance in medical literature often leads to inval...
The validity of a study depends on its proper planning, execution and analysis. If these are suffici...
Interval estimates - estimates of parameters that include an allowance for sampling uncertainty - ha...
Introduction: Reporting confidence intervals in scientific articles is important and relevant for ev...
P values and confidence intervals (CIs) are the most widely used statistical indices in scientific l...
Interval estimates – estimates of parameters that include an allowance for sampling uncertainty – ha...
In the clinical study researchers want to answer the most important question whether a new therapy i...
In the clinical study researchers want to answer the most important question whether a new therapy i...
This article examines the role of the confidence interval (CI) in statistical inference and its adva...
When considering the results of a study that reports one treatment to be better than another, what t...
The estimation approach to statistical analysis aims to quantify the effect of interest as an "estim...
When conducting research on a given type of patients, it is impossible to examine all the existing s...
Abstract. The estimation approach to statistical analysis aims to quantify the effect of interest as...
Interval estimates -- estimates of parameters that include an allowance for sampling uncertainty -- ...
A confidence interval (CI) is an interval estimate of a population parameter. Instead of estimating ...
The abundant use of p-values and statistical significance in medical literature often leads to inval...
The validity of a study depends on its proper planning, execution and analysis. If these are suffici...
Interval estimates - estimates of parameters that include an allowance for sampling uncertainty - ha...
Introduction: Reporting confidence intervals in scientific articles is important and relevant for ev...
P values and confidence intervals (CIs) are the most widely used statistical indices in scientific l...
Interval estimates – estimates of parameters that include an allowance for sampling uncertainty – ha...