Bootstrapping Analysis, Inferential Statistics and EXCEL [PDF]
Spreadsheets in Education, 2011 Performing a parametric statistical analysis requires the justification of a number of necessary assumptions. If assumptions are not justified research findings are inaccurate and in question. What happens when assumptions are not or cannot be addressed?
John A Rochowicz Jr
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Medical Statistics Series: Inferential Statistics (Part-II)
National Journal of Community Medicine, 2021 The purpose of this article is to provide detailed information of application of different inferential statistical methods and interpretation of its outcome values.
Swati Patel
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Still against Inferential Statistics: Rejoinder to Nicholson and Ridgway [PDF]
, 2017 In their response to our paper, Nicholson and Ridgway agree with the majority of what we wrote. They echo our concerns about the misuse of inferential statistics and NHST in particular.
Gorard, S., White, P.
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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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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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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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A Statistical Primer: Understanding Descriptive and Inferential Statistics
Evidence Based Library and Information Practice, 2007 As libraries and librarians move more towards evidence-based decision making, the data being generated in libraries is growing. Understanding the basics of statistical analysis is crucial for evidence-based practice (EBP), in order to correctly design ...
Gillian Byrne
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Against Inferential Statistics: How and why current statistics teaching gets it wrong [PDF]
, 2017 Recent concerns about a shortage of capacity for statistical and numerical analysis skills among social science students and researchers have prompted a range of initiatives aiming to improve teaching in this area.
Gorard, S., White, P.
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Medical Statistics Series: Inferential Statistics (Part-I)
National Journal of Community Medicine, 2021 Hypothesis testing (or statistical inference) is one of the most important applications of biostatistics. Most of medical research begins with a research question that can be framed as a hypothesis.
Swati Patel
doaj
Formulation of Parsimonious Urban Flash Flood Predictive Model with Inferential Statistics
Mathematics, 2022 The curve number (CN) rainfall–runoff model is widely adopted. However, it had been reported to repeatedly fail in consistently predicting runoff results worldwide.
Lloyd Ling +4 more
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