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OpenEpi -- Epidemiologic Calculators

This site contains calculators for use in epidemiological calculations. There are modules that can be used online and open source modules that can be downloaded and altered. Some modules include 2x2 tables, an R by C table, proportions, dose-response and trend calculator, sample size, and generation of random numbers.
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Date Of Record Creation 2005-02-23 12:20:00
Date Last Modified 2006-05-25 17:41:00
Date Of Record Release 2006-05-25 17:41:00
Alternate Title
Email Address,
Date Issued 1999-10
Resource Type
Typical Learning Time 90 min
Author Name Andrew G. Dean, Kevin M. Sullivan, Roger A. Mir
Author Organization OpenEpi
General Comments Do not release. The "War Room" link is not working. Other crucial links are also dead.
Technical Requirements Java Script, Site popups must be enabled
Comments This material is a great resource for doing power and sample size calculations. The combination of visual tools, such as dynamically updating sliders and fully customizable graphing capability, make this item a strong visual aid for teaching power. Unfortunately, because the applets are not intended for instructional use, teachers will have to create materials to accompany these applets for classroom and homework situations.
Content Quality (Concerns) No underlying distributions are shown to illustrate how or why type I and type II errors and power move as other parameters change. Formulas are assumed to be known, so there are none given. The accuracy of the answers is set to 4 digits, which can result in rounding errors. This could be a stumbling block, as students struggle to get the "right answer."
Content Quality (Strengths) The applets produce accurate calculations and useful graphical tools with the quality of many commercial software packages, and the menu of tests is large enough to satisfy many standard research needs. The documentation provided encourages good statistical practice with high quality explanations, good vocabulary, and good notation, although the Greek letters are spelled out with Roman ones. The "Advice" section gives ideas on how and how not to use the applets as well as practical issues associated with power and sample size, while the "Accuracy" section discusses the components of the software accuracy. The references and links to other resources given are useful.
Ease of Use (Concerns) Instructors will have to prepare activities or lessons around these applets if they intend to use them in class to teach the concept of power. Students will also need some kind of introductory lesson on power before using the applets. There are many parameters and options associated with these applets, and this degree of flexibility may lead to situations where careless users could potentially get stuck. Reading the Help menus is vitally important to running these applets successfully and effectively. Some problems may occur when using a Mac to run these applets.
Ease of Use (Strengths) These applets are easy to use. The dialog boxes are straightforward with well-labeled sliders and drop-down menus. The help menus give good, easy to read explanations of how to use the applets. The site is not limited in terms of how it runs on standard machines, and the technical requirements are easily met. Installing this software on a personal computer is easy with clear instructions for how to handle the software. No technical support seems to be necessary.
Potential Effectiveness (Concerns) These applets are not designed as teaching tools, and thus, are not conceptual in nature but are focused on calculations. They do not illustrate why the changes happen or describe what formulas are used, so students need a prior conceptual foundation to benefit from the applets. There are no pedagogical activities for teaching power analysis tied to the applets. Thus, teachers who want to use this resource in their class must create their own activities and assessments. Also, without an introduction to power, students may get misleading answers.
Potential Effectiveness (Strengths) The applets demonstrate graphically and numerically how the components of a power analysis calculation move together, allowing teachers to quickly show many possible scenarios. They compute complicated calculations that take a long time to do by hand and have sliders that dynamically update the relevant parameters as the user investigates. The graphs show global relationships, such as how the sample size depends on the margin of error for a fixed level of confidence, and are useful for teaching students how to choose among competing tests based on graphical analysis of power functions or other functions. The graphing capabilities allow users to choose the dependent and independent variables and the plotting range. These applets can be readily implemented into statistics courses at almost any level and can be used with most statistics texts.
Source Code Available 1
Material Type
Statistical Topic
Application Area
Cost involved with use
Intended User Role
Math Level

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