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Cancer statistics in Yemen: incidence and mortality, in 2020
BackgroundThe current cancer epidemiological profile in Yemen suffers from a lack of locally representative data and resources, posing a challenge in...
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Using Bayesian statistics in confirmatory clinical trials in the regulatory setting: a tutorial review
Bayesian statistics plays a pivotal role in advancing medical science by enabling healthcare companies, regulators, and stakeholders to assess the...
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Urological cancer statistics on incidence from 1975 to 2019 and mortality from 1958 to 2022 in Japan
BackgroundIn Japan, comprehensive cancer statistics are collected through cancer registries. However, data on urological cancers are rarely...
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Statistics for Clinicians How Much Should a Doctor Know?
How much statistics does a clinician, surgeon or nurse need to know?
This book provides an essential handbook to help appraise evidence in a...
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Textbook of Medical Statistics For Medical Students
This book introduces basic concepts, principle, and methods of medical statistics systematically and practically, especially in the statistical...
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Territorial gaps on quality of causes of death statistics over the last forty years in Spain
BackgroundThe quality of the statistics on causes of death (CoD) does not present consolidated indicators in literature further than the coding group...
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Reproducing Statistics Performed in Published Randomized Controlled Trials
IntroductionRandomized controlled trials (RCT) represent evidence at the lowest potential risk for bias. Clinicians in all specialties depend upon...
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Microstructural white matter abnormalities in overactive bladder syndrome evaluation with diffusion kurtosis imaging tract-based spatial statistics analysis
PurposeThis prospective study aimed to explore the microstructural alterations of the white matter in overactive bladder syndrome (OAB) using the...
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The effect of educational attainment on birthrate in Japan: an analysis using the census and the vital statistics from 2000 to 2020
BackgroundIn Japan, difference in birth rates depending on educational attainment has not been investigated. This study aimed to reveal birth rates...
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Statistics of bone sarcoma in Japan: report from the population-based cancer registry in Japan
BackgroundNo previous reports have characterized national bone sarcoma profiles overall. We examined the nationwide statistics for bone sarcoma in...
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Key points of statistics for clinically oriented research
Processing of research data is a crucial point in every scientific study. The basis of each statistical test is a clear research question and...
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Modelling the effect of demographic change and healthcare infrastructure on the patient structure in German hospitals – a longitudinal national study based on official hospital statistics
BackgroundEffects of demographic change, such as declining birth rates and increasing individual life expectancy, require health system adjustments...
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Supporting the implementation of new healthcare technologies by investigating generalisability of pilot studies using area-level statistics
BackgroundImplementation of new technologies into national health care systems requires careful capacity planning. This is sometimes informed by data...
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Statistics for Clinicians
This book provides clinical medicine readers with a detailed explanation of statistical concepts using non-technical terms. This allows clinicians...
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Shoulder replacement surgery’s rising demand, inequality of provision, and variation in outcomes: cohort study using Hospital Episode Statistics for England
BackgroundThe aim of this study was to forecast future patient demand for shoulder replacement surgery in England and investigate any geographic and...
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Monitoring European data with prospective space–time scan statistics: predicting and evaluating emerging clusters of COVID-19 in European countries
BackgroundCoronavirus disease 2019 (COVID-19) has become a pandemic infectious disease and become a serious public health crisis. As the COVID-19...
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Machine learning and conventional statistics: making sense of the differences
The application of machine learning (ML) to the field of orthopaedic surgery is rapidly increasing, but many surgeons remain unfamiliar with the...
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