![]() ![]() I assume that you are familiar with basic descriptive statistics, such as means and standard deviations what an odds ratio is what heterogeneity means. Will not cover any of the more advanced topics, such as multiple imputation of missing data or multilevel meta-analysis Assumptions How to access and/or use electronic databases This is not an introduction to the use of Stata software This is not a hands-on workshop we will not be running the commands today Resources for further information What not to expect How to run a meta-analysis and interpret the resultsĪ brief discussion of the different types of biases that may compromise the results of a meta-analysis Information on how to collect data for a systematic review and/or meta-analysis Clinically, that often means that the researcher measures the ratio of the odds of a disease occurring or a death from a specific injury or illness happening to the odds of the disease or death not occurring.Definition of systematic review and meta-analysis Specifically, the OR measures the ratio of the odds that an event or result will occur to the odds of the event not happening. The OR evaluates whether the odds of a certain event or outcome is the same for two groups. References – There are a number of statistics that are helpful for making decisions about clinical interventions or drawing conclusions about effects of various substances or events in health-related situations, and one seen frequently is called the odds ratio. From the data in the table 1, it is calculated as follows: The odds ratio is simply the ratio between the following two ratios: The ratio between standard treatment and the new drug for those who died, and the ratio between standard treatment and the new drug for those who survived. ![]() The odds ratio: calculation, usage and interpretation ![]()
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