Difference between case study and meta analysis

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Those videos have principles that will be applied to this video on Types of Study Design. Based on the types of bias that are inherent in some study designs we can rank different study designs based on their validity. The types of research studies at the top of the list have the highest validity while those at the bottom have lower validity. In most cases if 2 studies on the same topic come to different conclusions, you assume the trial of the more valid type is correct. However, this is not always the case. Any study design can have bias.
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A meta-analysis is a statistical analysis that combines the results of multiple scientific studies. Meta-analysis can be performed when there are multiple scientific studies addressing the same question, with each individual study reporting measurements that are expected to have some degree of error. The aim then is to use approaches from statistics to derive a pooled estimate closest to the unknown common truth based on how this error is perceived. Existing methods for meta-analysis yield a weighted average from the results of the individual studies, and what differs is the manner in which these weights are allocated and also the manner in which the uncertainty is computed around the point estimate thus generated. In addition to providing an estimate of the unknown common truth, meta-analysis has the capacity to contrast results from different studies and identify patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light in the context of multiple studies. A key benefit of this approach is the aggregation of information leading to a higher statistical power and more robust point estimate than is possible from the measure derived from any individual study.
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Additionally, they both support conclusions based on expert reviews, case-controlled studies, data analysis, etc. A systematic review is a form of research done collecting, appraising and synthesizing evidence to answer a particular question, in a very transparent and systematic way. Data or evidence used in systematic reviews have their origin in scholarly literature — published or unpublished.
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When conducting research case studies and surveys are two research methods that are employed by researchers. Although both methods are used to gather information, there is a key difference between a case study and a survey. A case study refers to research in which an individual, group or a particular situation is studied. The duration of the study tends to be relatively long. A survey refers to research where data is gathered from an entire population or a very large sample in order to comprehend the opinions on a particular matter.
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