Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics [PDF]
Indian Journal of Radiology and ImagingA systematic approach to statistical analysis is essential for accurate data interpretation and informed decision-making in the rapidly evolving field of radiology. This review provides a comprehensive overview of the fundamental statistical concepts for
Adarsh Anil Kumar +3 more
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Inferential Statistics from Black Hispanic Breast Cancer Survival Data [PDF]
The Scientific World Journal, 2014 In this paper we test the statistical probability models for breast cancer survival data for race and ethnicity. Data was collected from breast cancer patients diagnosed in United States during the years 1973–2009.
Hafiz M. R. Khan +4 more
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Some misinterpretations of Inferential statistics in dental public health literature [PDF]
BMC Oral HealthObjectives Inferential statistics such as p-values and confidence intervals (CIs) are ubiquitously used in research studies. Still, researchers can incorrectly interpret them, impacting the validity and utility of the respective results.
Talal S. Alshihayb +3 more
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For a proper use of frequentist inferential statistics in public health [PDF]
Global EpidemiologyAs widely noted in the literature and by international bodies such as the American Statistical Association, severe misinterpretations of P-values, confidence intervals, and statistical significance are sadly common in public health.
Alessandro Rovetta +2 more
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Hypothesis-Testing Demands Trustworthy Data—A Simulation Approach to Inferential Statistics Advocating the Research Program Strategy [PDF]
Frontiers in Psychology, 2018 In psychology as elsewhere, the main statistical inference strategy to establish empirical effects is null-hypothesis significance testing (NHST). The recent failure to replicate allegedly well-established NHST-results, however, implies that such results
Antonia Krefeld-Schwalb +2 more
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MethodsX, 2023 Floods are the most common natural disaster in several countries throughout the world. Flooding has a major impact on people's lives and livelihoods. The impact of flood disasters on human lives can be mitigated by developing effective flood forecasting ...
Sreepathy H V +3 more
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Evaluation of simple inferential statistics methods for descriptive master's research In the College of Physical Education and Sports Sciences, University of Mosul [PDF]
مجلة الرافدين للعلوم الرياضية, 2022 The aim of the search is that: - Identifying the distribution of simple inferential statistical methods used by master's students in the College of Physical Education and Sports Sciences at the University of Mosul, according to their scientific ...
Raneen Khalid, Thilam Allawy
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Inferential Statistics Is an Unfit Tool for Interpreting Data
Applied Sciences, 2022 Null hypothesis significance testing is a commonly used tool for making statistical inferences in empirical studies, but its use has always been controversial. In this manuscript, I argue that even more problematic is that significance testing, and other
Anders Sand
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EFFICIENCY OF SOME CLASSIFICATION METHODS ADOPTED IN CLINICAL REMINDER SYSTEMS IN CASES OF MIXED DATA [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2008 Cluster analysis techniques are widely used in medical researches. Clustering techniques are not unique and hence users must be extremely conscious about what to use in order to analyze their data.
Imad H.A. AL-Iathary, Murtadhah M.H
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Statistical methods used in medical research and cancer registries: A review
Journal of Radiation and Cancer Research, 2023 Medicine is an ever-changing science. Thus, new knowledge is generated by research and clinical experience. Statistical methods used in medical research play a vital role in medical research to draw a meaningful conclusion about research.
Nazir Ahmad Dar +8 more
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