Background | Example application areas include: | This vignette walks through the steps to estimate transmission flows and confidence intervals. | Data: | The data was sourced from: | A basic analysis: Estimating transmission flows within and between population groups | Interpretation of results: | See ?estimate_transmission_flows_and_ci() for a description of all the output variables | A step further: Exploring available options

Background | Properties of the M-statistic | See the M statistic paper for details on the statistical theory: | This vignette walks through the steps involved in carrying out an M analysis | A few tips for a succesful M analysis | Data: heartgenes214 | We shall use the heartgenes214 dataset for our M analysis. | Note: | The data was sourced from: | The basics: Conducting an M analysis | Understanding the plots generated by getmstatistic | A step further: Exploring available options | Generating M statistic forest plots

Tutorial Goals | It's important to check for potential outliers when performing meta-analysis, here's why | Two popular approaches for identifying overly influential outliers | The getspres R package: A two for one bargain in outlier diagnostics! | Let's take a look at some examples: | Data: heartgenes214 | The data was sourced from: