#Angka tokek how to

Now what do you do? You may decide that you are going to find all of the studies on this research question and count up how many found significant results and how many did not. You find that some of the studies replicated the results while others did not (i.e., failure to replicate results). So letвЂ™s say that this topic is something that you really care about, and you wait to hear more results from the replication studies. Almost always, there is a quote from one of the studyвЂ™s authors saying that вЂњthis research needs to be replicated with more subjects before anyone should act on the results.вЂќ And we all nod our heads, because we know that replication is an important part of the foundation of the scientific method. Some new drug, or treatment, or something, has been shown to do something. HereвЂ™s an experience we can all relate to: you read about a study on your favorite news website, or hear about it on TV or the radio. Remember that this is a brief introduction to this topic, so we will only briefly touch on many important topics that might be worthy of an entire workshop unto themselves. 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

#Angka tokek how to

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 resultsДЄ 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 Definition of systematic review and meta-analysis