Important epidemiological aspects should be considered when performing a pharmocoepidemiological study using large real world datasets. Incorporating the statistical expertise from our researchers, we can handle matters such as time-related bias, confounding by indication and protopathic bias, which are inherent to our type of data. Our research team includes highly qualified professionals with many years of experience and will be happy to explore multiple analytical approaches appropriate to the research question at hand. Over the years we have accumulated much practical experience in different study designs dealing with bias and confounding, such as new-user designs, propensity scoring and case-only designs. The analyses we perform on the study data are always well-planned and are detailed in the statistical analysis plan we develop in cooperation with our client. Please contact us for more information on our way of work or additional information.