![]() In testing research hypothesis, the assumption is based on 100% correctness. ![]() Validation parameters must be more stringent. In the medical research field, stretching from systematic reviews, meta-analysis and clinical trials, exactness and precision is paramount. Today, due to the gradual advancement in technology, statistical tools are being used in medical research for greater efficiency and accuracy. ![]() This opened up gaps for human error and greater cost of carrying out research especially when the data was large by say, over a 1000 field observations. There was a time when validating experiments through data was done fully using manual computation. Kolabtree freelance statistician Kingsley Ukwuoma writes about the top statistical tools used in medical research and clinical data analysis.
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