Dublin, Dec. 30, 2022 (GLOBE NEWSWIRE) -- The "Biostatistics for the Non-Statistician Training Course" training has been added to ResearchAndMarkets.com's offering. The objective of this seminar is to provide every trainee with the information and skills that are mandatory to comprehend numerical concepts and answers as smears to scientific study and to positively convey the information to others. Statistics is a valuable tool that is good and useful for making decisions in the medical research arena. When employed in a field where a p-value can determine the next steps in the development of a drug or procedure, it is authoritative that choice makers comprehend the philosophy and request of statistics. Quite a few numerical software is now available to professionals. However, this software was industrialized for geometers and can often be unnerving to non-statisticians. How do you know if you are persistent in the right key, let unaided execution be the best test. This seminar on medical biostatistics online course provides a non-mathematical introduction to biostatistics and is designed for non-statisticians. And it will profit specialists who must comprehend and work with study design and clarification of findings in a scientific or biotechnology setting. Stress will be placed on the real numerical (a) concepts, (b) application, and (c) interpretation, and not on mathematical formulas or actual data analysis. A basic understanding of statistics is desired, but not necessary. The seminar Includes Certificate, PDF copy of the Handouts, Q/A Session, Live Instructor-led 3 Days Web Seminar & Statistical Analysis Plan Template provided by the faculty. Learning objectives Perform simple analyses in statistical software.Avoid being misinformed by unwise findings.Communicate statistical findings to others more clearly.Comprehend the numerical portions of the greatest articles in medical journals.Do simple calculations, particularly ones that aid in interpreting published literature.Knowledge of which test when, why, and how. Who Should Attend: PhysiciansMedical Writers who need to interpret statistical reportsClinical Project Managers/LeadersClinical Research Associates SponsorsRegulatory Professionals who use statistical concepts/terminology in reportingClinical research organizations, hospitals, and researchers in health and biotech fields.People engaged in the medical sciences, medicinal and or nutraceutical industries, scientific trials, scientific research, and clinical research administrations, physicians, medicinal students, graduate students in the biological sciences, researchers, and medical writers who need to interpret statistical reports. Key Topics Covered: Agenda Day 1: Basics Session 1: Why Statistics? Do we really need statistical tests?Sample vs. PopulationI'm a statistician, not a magician!What statistics can and can't do?Descriptive statistics and measures of variability Session 2: The many ways of interpretation Self-assurance intervalsP-valuesEffect sizesClinical vs. meaningful significance Break - 10 mins Session 3: Types of Data and Descriptive Statistics Levels of data: Incessant, Ordinal, TriflingNormal delivery and its standingPictorial representations of dataData alterations, when and how Break 10 mins Session 4: Common Statistical Tests Relative testsSimple and Manifold reversion examinationNon-parametric methods Q&A Agenda Day 2: Special Topics Session 1: Logistic Reversion When and why?Clarification of odd ratiosPerformance of logistic reversion analysis and clarificationFun with eventuality tables Session 2: Survival Curves and Cox Regression History, theory, and nomenclature of survival analysisKaplan-Meier Curves and Log Rank TestsProportional HazardsInterpretation of hazard ratiosPresentation of KM curves and Cox regression analysis and interpretation Break 10 mins Session 3: Bayesian Logics A different way of thinkingBayesian methods and statistical significanceBayesian applications to diagnostics testingBayesian applications to genetics Break 10 mins Session 4: Methodical Appraisals and Meta-Analysis Why is doing a methodical review and/or meta-analysis important?A bit of history and reasoning for systematic reviews and/or meta-analysisVocabularySteps in performing a Systematic ReviewSteps in performing a Meta-Analysis Agenda Day 3: Further Understanding in Clinical Research Session 1: Other Tests Non-Parametric testsTest for equivalencyTest for non-inferiority Break 10 mins Session 2: Power and Sample Size Concept, steps, and plans for decisive sample sizesDisplay of sample size calculations with G-Power software Session 3: How to Review a Journal Article Overall steps on object evaluationDefining the quality of a periodical or journal articleLooking for limitations (all studies have them) Break 10 mins Session 4: Developing a Statistical Analysis Plan Using FDA (for the U.S. audience) or MHRA (for the U.K. audience) guidance as a foundation, learn the steps and criteria needed to develop a statistical analysis plan (SAP)An SAP template will be given to all attendees Key Topics Covered: Elaine Eisenbeisz Owner & Principal Omega Statistics Elaine Eisenbeisz is aprivate practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California. Elaine has over 30 years of experience in creating data and information solutionsfor industries ranging from governmental agencies and corporations, to start-up companies and individual researchers. Elaine's love of numbers began in elementary school where she placed in regional and statewide mathematics competitions. She attended University of California, Riverside, as a National Science Foundation scholar, where she earned a B.S. in Statistics with a minor in Quantitative Management, Accounting. Elaine received her Master's Certification in Applied Statistcs from Texas A&M, and is currently finishing her graduate studies at Rochester Institute of Technology. For more information about this training visit https://www.researchandmarkets.com/r/vkkmhf About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. 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