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OpenEpi is a free, web-based, open source, operating system-independent series of programs for use in epidemiology, biostatistics, public health, and medicine, providing a number of epidemiologic and statistical tools for summary data.
Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined ...
They can be used to calculate percentiles and number of standard deviations from the mean (Z-scores) using the CDC/WHO 1978 growth reference, CDC 2000 growth reference, the WHO Child Growth Reference, or the WHO Reference 2007. It replaces the NutStat and EpiNut modules found in prior versions of Epi Info. Epi Info in research
In survey methodology, the design effect (generally denoted as , , or ) is a measure of the expected impact of a sampling design on the variance of an estimator for some parameter of a population. It is calculated as the ratio of the variance of an estimator based on a sample from an (often) complex sampling design, to the variance of an ...
The determination of particle size may impact treatment plans, as recent data shows statins and other therapies may not be effective in the management of elevated lipoprotein a (Lp(a)) ...
Regression Analysis of Time Series (RATS) – comprehensive econometric analysis package. Rguroo Statistical Software - An online statistical software designed for teaching and analyzing data. S-PLUS – general statistics package. SAS (software) – comprehensive statistical package.
PS Power and Sample Size Calculator. Windows. Also on Apple and Linux under Wine. Also available as an online tool. [1] PS is an interactive computer program for performing statistical power and sample size calculations. [2] [3] [4]
Relative risk is used in the statistical analysis of the data of ecological, cohort, medical and intervention studies, to estimate the strength of the association between exposures (treatments or risk factors) and outcomes. [2] Mathematically, it is the incidence rate of the outcome in the exposed group, , divided by the rate of the unexposed ...