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[Cause of death statistics-how to avoid misinterpretation of mortality data].

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December 2024

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National mortality registers provide important data for monitoring population health. Analyses of cardiovascular mortality in particular-and especially mortality from coronary heart disease-are frequently the basis for conclusions about the quality of healthcare and prevention. To be able to interpret disease-specific mortality differences between countries and changes in mortality over time, it is necessary to know the basics of monocausal cause-of-death statistics and the associated limitations in comparative statements.

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Real-time adaptive randomization of clinical trials.

J Clin Epidemiol

November 2024

Massachusetts Institute of Technology (MIT), MIT Sloan School of Management, Cambridge, USA.

Objectives: To evaluate real-time (day-to-day) adaptation of randomized controlled trials (RCTs) with delayed endpoints - a "forward-looking optimal-experimentation" form of response-adaptive randomization. To identify the implied tradeoffs between lowered mortality, CIs, statistical power, potential arm misidentification, and endpoint rate change during the trial.

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The effect of a treatment on a health or disease response can be modified by genetic or microbial variants. It is the matter of interaction effects between genetic or microbial variants and a treatment. To powerfully discover genetic or microbial biomarkers, it is crucial to incorporate such interaction effects in addition to the main effects.

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