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The workings 'under the hood' will be completely different. Each of the three types below requires a different sample size formula, so while you may detect similarities between them, remember that StatCalc will treat each differently. Now, assuming that you can use StatCalc for your needs, let's look at the types of studies that you can calculate sample sizes from. Some recommendations are PS, PC-Size, and Rollin Brant’s Sample Size Calculators from the University of Calgary to be simple to follow. If your outcome is a mean: You'll need to use an online sample size and power calculator such as those you can find on the UCSF site. Means use continuous variables, yielding values such as 51.34 as opposed to dichotomous variables (yes/no, seropositive/seronegative) which yield proportions (51%). Note: You cannot use StatCalc to determine means, such as the average number of days a child stricken with malaria stayed at the hospital or the average cost of bednets in a region. There are several pay options that can be found at the UCSF’s Department of Epidemiology and Biostatistics website, although much of the documentation is more technical than what you’ll find in this tutorial.

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To a website called OpenEpi () that is full of useful calculators for more types of study designs. There is also a link within the Epi Info program 1 One free example is PS, which can be downloaded at.

Other sample size or power calculation tools may be more useful for non-Epidemiological studies. If your study really does not fall within the specifications of these designs, you will need to use another program or tool to make your calculations since it is imperative to use the correct equation to obtain these numbers. You may notice that StatCalc does not offer an exhaustive list of study design types so you may find that your specific study type may not be listed here. Each study type uses a different formula for calculating sample size so you need to think carefully about which type is yours. This module will not describe the equations used to calculate sample size or the terminology since these will be covered by the professors in the Sample Size lecture.Ĭhoosing the Type of Study Design to Use Within the Sample Size and Power tool there are 3 choices: Population survey, Cohort or cross-sectional, and Unmatched case-control. We will be only learning to use the Sample Size and Power tool in this module. No memorization of formulas or mathematical equations is necessary! StatCalc has several tools: Sample Size and Power, Chi Square for Trend, and Tables (2X2, 2XN). You input your parameters such as expected outcome value and desired precision, and then StatCalc determines the sample size. StatCalc is also one of the easiest tools to use.

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It is used by researchers who prefer as well as have the resources to analyze their data with software programs such as STATA or SPSS.

StatCalc is one of the most useful parts of Epi-Info. Getting Started with StatCalc Other Epi-Info sessions in this course use the major modules of Epi-Info such as Form Designer and Analyze Data.

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If you do not have it, go to the main page on the Moodle Web site to access the CDC’s download page for Epi-Info. Input different parameters into StatCalc’s calculator for viewing relationship between certain parameters and the sample size calculation.Įpi-Info downloaded on your machine.

Use StatCalc to calculate sample sizes for descriptive cross-sectional, cohort, and case-control studies.

#Statcalc online how to

You will learn how to use StatCalc to determine sample sizes for different types of studies, experiment with changes in study design parameters for understanding the relationship between these parameters and sample size, and become familiar with StatCalc’s limitations as a tool. StatCalc is a tool that automatically generates a range of sample sizes for different confidence and precision levels. StatCalc - Calculating a Sample Size with Epi-Info In this lesson, you will learn how to use the StatCalc feature of Epi-Info to calculate the sample size of a study you may design.