XLSTAT Life Sciences is a solution specifically designed for life sciences researchers and practitioners who would like to use well-known and validated methods to analyze their data and deepen their research. Get your results in just a few clicks, without leaving MS Excel. This way you can spend more time on what really matters: interpreting your results.
As a biologist or medical researcher, use Cox or Kaplan-Meier models for survival analysis and study the time that passes before an event occurs. Compare methods with Passing and Bablok or Bland and Altman regressions, and estimate the sample size your experiment should have with Power Analysis. Explore your huge OMICs datasets with our differential expression and heatmap features and use them to describe or understand a phenotype.
If you are dealing with complex psychological or social data, you can explore survey data with familiar and proven tools like correspondence analysis. Use linear regression to look for the factors that most influence psychological scores and build mixed models that account for item or survey effects. Explore the complex relationships that may exist among latent variables such as intelligence, well-being, and academic achievement through structural equation modeling using partial least squares. Techniques for analyzing multiblock data are also available.
As an ecologist, explore relationships between tables (multiple factor analysis, redundancy analysis, etc.), discover species niches (e.g canonical correspondence analysis), detect proteins that are differentially expressed (such as OMICs data analysis), or determine ecotoxicological EC50 doses using, for example, nonlinear regression.
XLSTAT Life Science includes all the features of Basic+, in addition to methods specific to life sciences.
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