02933nam0 22003491i 450 UON0052308820240405092615.943978-30-307-6976-520240216d2021 |0itac50 baengCH|||| |||||Multivariate data analysis on matrix manifolds (with Manopt)Nickolay Trendafilov, Michele GalloChamCHSpringer2021XX, 450 p.23 cm.This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt. The book includes numerous in-text examples as well as Manopt codes and software guides, which can be applied directly or used as templates for solving similar and new problems. The first two chapters provide an overview and essential background for studying MDA, giving basic information and notations. Next, it considers several sets of matrices routinely used in MDA as parameter spaces, along with their basic topological properties. A brief introduction to matrix (Riemannian) manifolds and optimization methods on them with Manopt complete the MDA prerequisite. The remaining chapters study individual MDA techniques in depth. The number ofexercises complement the main text with additional information and occasionally involve open and/or challenging research questions. Suitable fields include computational statistics, data analysis, data mining and data science, as well as theoretical computer science, machine learning and optimization. It is assumed that the readers have some familiarity with MDA and some experience with matrix analysis, computing, and optimization.001UON005238502001 Springer series in the Data Sciences.Analisi multivariataMetodiUONC034747FIAnalisi statistica multivariataUONC034757FIStatistica matematicaUONC039315FICHChamUONL005304310Statistica21TrendafilovNickolayUONV295139848301GalloMicheleUONV295138497553SpringerUONV283843650ITSOL20250711RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00523088SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI 2.0 0540 SI 50930 5 0540 BuonoSIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI2024200 1J 20240216Bolla n. 55 del 14.3.2024. Multivariate Data Analysis on Matrix Manifolds4153349UNIOR09224nam 22005413 450 991101950410332120250220080318.097813942193461394219342(CKB)37525562100041(MiAaPQ)EBC31907269(Au-PeEL)EBL31907269(OCoLC)1500762788(Exl-AI)31907269(EXLCZ)993752556210004120250220d2025 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierABC of Evidence-Based Healthcare1st ed.Newark :John Wiley & Sons, Incorporated,2025.©2025.1 online resource (203 pages)ABC Series9781394219315 1394219318 Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Chapter 1 What Is Evidence-Based Healthcare? -- Introduction -- Healthcare before evidence-based healthcare -- The philosophy of evidence-based healthcare (4) -- The origins of the evidence-based healthcare movement -- Using evidence at the bedside -- The achievements of evidence-based healthcare -- The key steps of evidence-based healthcare -- So what is evidence-based healthcare? -- The ethical dimension -- References -- Chapter 2 Identifying Clinical Questions -- Introduction -- Clinical background questions versus foreground questions -- What are background questions? -- What are foreground questions? -- Where do clinical questions come from? -- Identifying the clinical problem -- Patient engagement -- Types of clinical questions (6, 7) -- Using the PICO framework (2, 8) -- Finding evidence -- Appraise, apply and evaluate the evidence -- Examples of differing types of clinical questions using the aforementioned structured approach -- Aetiology/harm -- Diagnosis -- Therapy -- Prognosis -- Prevention -- Health economics in clinical questions -- Integrating health economics into the PICO framework (10) -- Incorporating health economics into clinical questions (10) -- The impact of answering clinical questions -- Applying evidence-based practice in daily clinical practice -- Engaging in continuous learning and professional development -- Integrating health economics into clinical decision-making -- Future research and quality improvement -- Summary -- References -- Chapter 3 Finding the Evidence -- Where is the evidence? -- What is a database? -- Medical summaries and databases -- What is peer review? -- Can't I just use Google it? -- What about Google Scholar? -- Hierarchies of evidence - the evidence pyramids -- The pyramid of studies.The '6-S Pyramid' (8) -- Search strategies -- Getting started -- Deriving search terms -- Exploding your search -- Focusing the search -- Limiting a search to titles only -- Using Boolean operators -- AND -- OR -- NOT -- Thesaurus -- Comprehensive search strategies -- Systematic review -- Primary research papers -- Internet searches -- Grey literature -- Selecting studies -- Limitations of the evidence pyramid -- Tips on abstract screening -- Reporting a search -- References -- Chapter 4 Principles of Study Design -- Introduction -- Research study design -- Non-analytic studies -- Analytic studies (4) -- Experimental studies (6) -- What type of study am I reading? -- Accounting for bias in study design -- Effect of confounding and bias on study design and bias -- Advantages and disadvantages of the designs -- Randomised controlled trial -- Cohort study -- Case-control studies -- Cross-sectional survey -- Designing and planning a study -- Review of literature -- Formulating hypotheses -- Specification of needed data -- Methods and techniques to yield data needed -- Planning the analysis -- Pretesting study design and data collection -- Analysis and interpretation of data -- Misconceptions -- What is a clinical trial? -- Planning a clinical trial -- Conceptual phase -- Pilot study -- Trial phase -- Common pitfalls in clinical trials -- Evidence synthesis -- What is evidence synthesis? (22) -- Systematic reviews -- Registration and reporting of results -- Reporting guidelines -- References -- Further reading -- Chapter 5 Qualitative Research -- Introduction -- The qualitative research question -- Data in qualitative research -- Qualitative study designs -- Ethnography (6) -- Grounded theory (6) -- Phenomenology (6) -- Case study research (6) -- Narrative research -- Historical research -- Conducting a qualitative research study -- Sampling (8).Convenience sampling -- Purposive sampling -- Snowball sampling -- Intensity sampling -- Determining the sample size -- Data collection -- Focus groups (8) -- One-to-one interviews -- Interview topic guide -- Principles of data analysis -- Computer-assisted qualitative data analysis (CAQDAS) -- Bias in qualitative research -- Reflexivity -- Reporting qualitative research studies -- Critical appraisal of qualitative research -- Mixed methods -- Generalisability of qualitative research -- References -- Chapter 6 Statistical Concepts -- Introduction -- Oh no, not statistics! -- What are statistics for? -- Types of data -- Identifying data types -- Numerical (quantitative) data -- Categorical data -- Descriptive and inferential statistics -- Measures of spread of data -- Reporting central tendency -- Visualising data -- Transforming data -- Sample point estimate (2) -- Data accuracy and quality -- Errors, bias and prejudice -- Standard error -- Standard error of the mean -- Confidence intervals -- Confidence intervals of a mean -- Why do we use 95%? -- Hypothesis testing -- The null hypothesis -- Errors in hypothesis testing -- What is a P value? -- Choosing statistical tests -- Correlation and regression -- Population and sampling -- Diagnostic tests -- Predictive values -- Likelihood ratios and pre- and post-test odds -- Receiving operating characteristic (ROC) curves -- References -- Further reading -- Chapter 7 Critical Appraisal -- Overview -- What is critical appraisal? -- Validity -- Initial points -- The journal of publication -- Assessing a journal -- The title -- Authorship -- Initial questions (9) -- The abstract -- Introduction or background -- Aims and objectives -- Appraising the study question -- Method -- Results -- Discussion/conclusions -- Declarations -- Conflicts of interest -- Assessing bias in studies.Inclusion in subgroup analysis -- Reporting standards -- Appraisal tools -- The critical appraisal skills programme (CASP) (13) -- Systematic reviews and meta-analyses -- Meta-analyses -- Acknowledgements -- References -- Further reading -- Chapter 8 Evidence into Practice -- Introduction -- Patient and public involvement -- Knowledge-to-action cycle -- Implementation science -- Guidelines -- Clinical reasoning, evidence, communication and shared decision-making -- Patient health literacy -- Communicating risk to patients -- Decision aids -- Statistical concepts -- References -- Further reading -- Chapter 9 Challenges in Evidence-Based Healthcare -- Inclusion in research -- Artificial intelligence -- 'Listen to the patient and their data -- they are telling you the diagnosis' -- Are there limitations to evidence-based healthcare? -- References -- Chapter 10 Teaching and Learning Evidence-Based Healthcare -- The learner's experience -- Evidence is everywhere -- Evidence-based physical examination -- Clinical prediction rules -- Tips for evidence-based bedside teaching -- Practising the five steps of evidence-based healthcare -- The evidence-based healthcare curriculum -- Teaching strategies for evidence-based healthcare -- Journal clubs -- Learner attitudes -- Summary -- References -- Glossary -- Bibliography -- Useful Tools and Websites -- Index -- EULA.This book explores the principles and practices of evidence-based healthcare, emphasizing the need for high-quality evidence to inform clinical decisions and improve patient outcomes. Authored by John Frain, a frontline clinician, it addresses key topics such as study design, qualitative research, statistical concepts, critical appraisal, and the integration of evidence into practice. The author reflects on challenges in healthcare, particularly during the COVID-19 pandemic, and advocates for embedding evidence-based approaches into healthcare education and policy. The book is intended for healthcare professionals, students, and educators, offering practical guidance and resources to navigate the complexities of modern healthcare.Generated by AI.ABC SeriesEvidence-based medicineGenerated by AIMedical educationGenerated by AIEvidence-based medicineMedical education616Frain John1842786MiAaPQMiAaPQMiAaPQBOOK9911019504103321ABC of Evidence-Based Healthcare4423007UNINA