# Introduction to biostatistics: Part 3. Statistical approaches to uncertainty: P values and confidence intervals unpacked

## Related Articles

- Multiple comparisons distortions of parameter estimates. Neal O. Jeffries // Biostatistics;Apr2007, Vol. 8 Issue 2, p500
In experiments involving many variables, investigators typically use multiple comparisons procedures to determine differences that are unlikely to be the result of chance. However, investigators rarely consider how the magnitude of the greatest observed effect sizes may have been subject to bias...

- Statistical approaches to uncertainty: p values and confidence intervals unpacked. Doll, Helen; Carney, Stuart // Evidence Based Medicine;Oct2005, Vol. 10 Issue 5, p133
The article presents information related to statistical uncertainty. Statistical uncertainty is the uncertainty associated with the use of sample data to make statements about the wider population. Either hypothesis tests, with the calculation of p values, or confidence intervals (CIs) can...

- Tapered empirical likelihood for time series data in time and frequency domains. // Biometrika;Mar2009, Vol. 96 Issue 1, p119
We investigate data tapering in two formulations of empirical likelihood for time series. One empirical likelihood is formed from tapered data blocks in the time domain and a second is based on the tapered periodogram in the frequency domain. Limiting distributions are provided for both...

- A Shortcut to Rejection: How Not to Write the Results Section of a Paper. Streiner, David L. // Canadian Journal of Psychiatry;Jun2007, Vol. 52 Issue 6, p385
This article discusses common errors in writing up the results of papers. It covers the following: 1) giving details about irrelevant topics, such as what program was used to enter the data, while ignoring important ones (for example, which options were chosen for various statistical tests); 2)...

- An Introduction to Confidence Introduction to Confidence Intervals for Both Statistical Estimates and Effect Sizes. Capraro, Mary Margaret // Research in the Schools;Fall2005, Vol. 12 Issue 2, p22
The recent APA Task Force on Statistical Inference report suggested that confidence intervals should always be reported, and the 5th edition of the APA Publication Manual (2001) said confidence intervals were "the best" reporting device. The present article summarizes methods of estimating...

- On the Confidence Interval for the Binomial Parameter. Garcí-Pérez, Miguel // Quality & Quantity;Aug2005, Vol. 39 Issue 4, p467
The use of confidence intervals (CIs) is strongly recommended in the 5th edition of the Publication Manual of the American Psychological Association. The CI for the binomial parameter Ï€ is customarily obtained using Wald method, which uses the normal approximation to the binomial...

- On guaranteed sample volume in the problem of estimating unknown probability. Kan, A. V.; Kan, Yu. S. // Automation & Remote Control;Mar2010, Vol. 71 Issue 3, p406
For the problems of statistical estimation of unknown probability, consideration was given to determination of the sample volume guaranteeing the desired accuracy of estimation with the desired confidence probability. This problem was solved using an approach which was developed earlier by the...

- A Confidence Limits Table for Attribute Analysis. Tummins, Marvin; Strawser, Robert H. // Accounting Review;Oct76, Vol. 51 Issue 4, p907
The article focuses on a confidence limits table which is both concise and unique and which allows the instructor and student to compute quickly confidence limits for the entire population based upon the results of an attribute sample. The use of this table eliminates the arithmetic which is...

- Derivation and assessment of a bivariate IDF relationship using paired rainfall intensity—duration data. Seong, Kee-Won; Lee, Yong-Hak // Stochastic Environmental Research & Risk Assessment;Jan2009, Vol. 23 Issue 1, p1
A procedure is presented for developing a rainfall intensityâ€“durationâ€“frequency (IDF) relationship that is consistent with bivariate normal distribution modeling. The Boxâ€“Cox transformation was used to derive the relation and two methods of determining the parameters of this...