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During my four decades working as a statistician in a medical school, there have been major changes in the way that statistical methodology has been applied to health-related research. Both strengthened research governance frameworks and the requirements that the CONSORT statement and related guidelines impose on those seeking to publish their findings have, rightly, reinforced the need for clearthinking about the statistical issues in any study. Both the level of complexity of methodological research by statisticians and the computing power available to both “ordinary users” and users of more specialised software have increased beyond recognition. While the quality of treatment of statistical issues in published articles has probably improved over the years, serious flaws are still apparent in much published work. My greatest concern is that despite the computing revolution, the gap between methodological research performed by statisticians and the statistical methods used by researchers in applied fields has widened dramatically. While I would be the first to repudiate bibliometrics as an assessment of research output at individual or institutional level, nevertheless the fact that leading statistical journals, even those with an applied ambit, struggle to reach an impact factor of 2 indicates how little their content has generally influenced wider research practice.
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