![]() ![]() Having examined these errors, we then discuss the consequences of specific errors or classes of errors. To do so, we describe a case series of relatively severe data and statistical errors coupled with surveys of some types of errors to better characterize the magnitude, frequency, and trends. We then describe underlying themes of the types of errors and postulate contributing factors. In this work, we first discuss the importance of focusing on statistical and data errors to continually improve the practice of science. In each of these aspects, errors can and do occur. These include collecting, analyzing, and reporting data. Some aspects of science, taken at the broadest level, are universal in empirical research. ![]()
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