Confidence
Interval Determination
Introduction: Confidence interval
(C.I.) is a range providing an interval estimate to true but unknown population
parameter. The confidence level (1-α) is the proportion of confidence intervals that
cover the true parameter, i.e. a 95% C.I. is the interval that you are 95% certain contains the unknown population true value. Its
relation with hypothesis test is that the 100(1-α)%
confidence interval of the test statistic is the acceptance region of a 2-sided
hypothesis test. If the test statistic is more extreme than the upper or lower
bound of the confidence interval, the null hypothesis is rejected. The
significance level of the test is the complement of the confidence level.
This program
helps users to find confidence interval for various statistical and epidemiological
studies, including proportion, correlation, rate, relative risk, odd ratios
and diagnostic statistics. Besides this, McNemar’s Test for paired groups is also provided.
DIRECTIONS:
- Choose one of
techniques from "Means", "Proportions", "Survival
Analysis", “Phase II Clinical
Trials”, “Confidence Interval” in following table
- From the table the
technique appeared that you selected, please select one of specified case
you are interested
- The selected calculator
will be appeared by a new window, then enjoy to use calculator to
determine your required C.I.!
- If you don’t know which program to use, please feel free to check :
User
guidance, definition and terminology
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5. Relative Risk and
Attributable Risk 6. Odds Ratios, ARR, RRR, NNT,
PEER |
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