Articles that include statistics like number needed to treat (NNT) and relative risks help to develop a clear understanding of treatment efficacy and potential harms for various medical conditions.
Developed by the Evidence Based Centre in Toronto, these five calculators will convert Odds Ratio to NNT, or calculate Positive Predictive Value, Relative Risk, and other calculations pertaining to different study types.
This older offering from University of Alberta still has utility. Developed as a collection of tools for identifying, assessing and applying relevant evidence for better health care decision-making.
In addition to Calculators, Critical Appraisal worksheets, and a Clinical Questions logbook, See Additional Resources for Syllabi for Practicing EBM, which includes case examples.
Calculate the number of respondents needed in a survey using this free sample size calculator. Shows the amount of respondents needed to get statistically significant results for a specific population. Discover how many people are needed to send a survey invitation to obtain your required sample. Calculate the margin of error based on sample size.
Designed by two UCSF grant funded researchers. for help determining how many subjects to include in a study and to help answer questions related to sample size or power calculations.
This diagnostic calculation page includes the nomogram used in the calculations of likelihood ratios. (Developed by Alan Schwartz, University of Illinois at Chicago)
Diagnostics and therapies are rated using a color coded system by the NNT editorial board using Numbers Needed to Treat calculations. Considered less biased than % risk ratios.
YOU MUST BE AN ACP MEMBER TO ACCESS.. Sign up to receive alerts in your specialty. Coordinated by the McMaster Health Knowledge Refinery, method experts and practicing clinicians review more than 120 journals to identify sound articles and rate them for relevance and newsworthiness.
EvidenceAlerts notifies physicians and researchers about newly-published clinical studies. Researchers at the McMaster Health Information Unit review articles from 125 clinical journals and rate them for clinical relevance and interest.