These results allow to compare the test to a random classifier. The confidence interval corresponds to the difference. Various statistics are then displayed including the p-value, followed by the interpretation of the comparison test.
Upper and lower bounds for confidence intervals are computed from the sample estimate of the parameter and the known(or assumed) sampling distribution of the estimator.
The confidence intervals include both a possible clinically important effect and a possible negligible effect, and there is considerable heterogeneity between the studies.
The parameter estimate, corresponding standard deviation, Wald's Chi², the corresponding p-value and the confidence interval are displayed for each variable of the model. The hazard ratios for each variable with confidence intervals are also displayed.
The bar chart of the standardized coefficients allow to visually compare the relative impact of the categories and to see if the confidence intervals include 0 or not.
The sample size required for a confidence interval you are comfortable with, and the resulting time it takes to reach that sample size, is a key decision a marketer must determine during the test design.
A confidence interval of 95% means that 95% of future points are expected to fall within this radius from the result FORECAST. ETS forecasted(with normal distribution).
Model parameters: The parameter estimate, corresponding standard deviation, Wald's Chi2, the corresponding p-value and the confidence interval are displayed for the constant and each variable of the model.
Uncertainty in an estimated OR(or RR) is sometimes presented as a confidence interval(CI), which represents the range of values for the OR(or RR) that is plausible based on the observed study data.
With at least 10 months of minimum follow up for all patients, the confirmed objective response rate(ORR), the study's primary endpoint, was 15%(17/117)(95% CI= 9, 22) of which all were partial responses.
The calculation of confidence intervals for parameters is as for linear regression assuming that the parameters are normally distributed. XLSTAT also offers the more reliable alternative"profile likelihood" method as it does not require the assumption that the parameters are normally distributed.
For patients who had a complete remission, the estimated five-year overall survival rate was 64 percent(95% CI: 48, 80) and the estimated five-year progression-free survival rate was 52 percent(95% CI: 34, 69).
日本語
中文
عربى
Български
বাংলা
Český
Dansk
Deutsch
Ελληνικά
Español
Suomi
Français
עִברִית
हिंदी
Hrvatski
Magyar
Bahasa indonesia
Italiano
Қазақ
한국어
മലയാളം
मराठी
Bahasa malay
Nederlands
Norsk
Polski
Português
Română
Русский
Slovenský
Slovenski
Српски
Svenska
தமிழ்
తెలుగు
ไทย
Tagalog
Turkce
Українська
اردو
Tiếng việt