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Studies
are often not similar in design, population
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characteristics,
etc.
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If
they are not similar in design, then they should
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not
be meta-analyzed.
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If
they are similar in design, they may have biases
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in
common.
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Pooling
the results of many small biased studies
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gives
you a biased result that is statistically
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significant.
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Impressive
but bad science.
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