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Using Multivariate Statistics

New developments in the science of learning science of learning overview mind and brain how experts differ from novices how children learn learning and transfer the learning environment curriculum, instruction and commnity effective teaching - examples in history, mathematics and science teacher learning technology to support learning conclusions from new developments in the science of learning.

How people learn: Brain, mind, experience, and school.

ACE
: angiotensin-converting enzyme
ACS
: acute coronary syndrome
ADP
: adenosine diphosphate
AF
: atrial fibrillation
AMI
: acute myocardial infarction
AV
: atrioventricular
AIDA-4
: Abciximab Intracoronary vs. intravenously Drug Application
APACHE II
: Acute Physiology Aand Chronic

/pdf/esc-guidelines-for-the-management-of-acute-myocardial-vy5rt9aiqe.pdf

ESC Guidelines for the Management of Acute Myocardial Infarction in Patients Presenting With ST-Segment Elevation

WRITING GROUP MEMBERS Emelia J. Benjamin, MD, SCM, FAHA Michael J. Blaha, MD, MPH Stephanie E. Chiuve, ScD Mary Cushman, MD, MSc, FAHA Sandeep R. Das, MD, MPH, FAHA Rajat Deo, MD, MTR Sarah D. de Ferranti, MD, MPH James Floyd, MD, MS Myriam Fornage, PhD, FAHA Cathleen Gillespie, MS Carmen R. Isasi, MD, PhD, FAHA Monik C. Jiménez, ScD, SM Lori Chaffin Jordan, MD, PhD Suzanne E. Judd, PhD Daniel Lackland, DrPH, FAHA Judith H. Lichtman, PhD, MPH, FAHA Lynda Lisabeth, PhD, MPH, FAHA Simin Liu, MD, ScD, FAHA Chris T. Longenecker, MD Rachel H. Mackey, PhD, MPH, FAHA Kunihiro Matsushita, MD, PhD, FAHA Dariush Mozaffarian, MD, DrPH, FAHA Michael E. Mussolino, PhD, FAHA Khurram Nasir, MD, MPH, FAHA Robert W. Neumar, MD, PhD, FAHA Latha Palaniappan, MD, MS, FAHA Dilip K. Pandey, MBBS, MS, PhD, FAHA Ravi R. Thiagarajan, MD, MPH Mathew J. Reeves, PhD Matthew Ritchey, PT, DPT, OCS, MPH Carlos J. Rodriguez, MD, MPH, FAHA Gregory A. Roth, MD, MPH Wayne D. Rosamond, PhD, FAHA Comilla Sasson, MD, PhD, FAHA Amytis Towfighi, MD Connie W. Tsao, MD, MPH Melanie B. Turner, MPH Salim S. Virani, MD, PhD, FAHA Jenifer H. Voeks, PhD Joshua Z. Willey, MD, MS John T. Wilkins, MD Jason HY. Wu, MSc, PhD, FAHA Heather M. Alger, PhD Sally S. Wong, PhD, RD, CDN, FAHA Paul Muntner, PhD, MHSc On behalf of the American Heart Association Statistics Committee and Stroke Statistics Subcommittee Heart Disease and Stroke Statistics—2017 Update

Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

Author(s): Writing Group Members; Mozaffarian, Dariush; Benjamin, Emelia J; Go, Alan S; Arnett, Donna K; Blaha, Michael J; Cushman, Mary; Das, Sandeep R; de Ferranti, Sarah; Despres, Jean-Pierre; Fullerton, Heather J; Howard, Virginia J; Huffman, Mark D; Isasi, Carmen R; Jimenez, Monik C; Judd, Suzanne E; Kissela, Brett M; Lichtman, Judith H; Lisabeth, Lynda D; Liu, Simin; Mackey, Rachel H; Magid, David J; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Muntner, Paul; Mussolino, Michael E; Nasir, Khurram; Neumar, Robert W; Nichol, Graham; Palaniappan, Latha; Pandey, Dilip K; Reeves, Mathew J; Rodriguez, Carlos J; Rosamond, Wayne; Sorlie, Paul D; Stein, Joel; Towfighi, Amytis; Turan, Tanya N; Virani, Salim S; Woo, Daniel; Yeh, Robert W; Turner, Melanie B; American Heart Association Statistics Committee; Stroke Statistics Subcommittee

Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association

Vast disparities between and within American states' responses to the COVID-19 pandemic have evoked renewed attention to whether greater centralization might enhance investments in subnational capacity and remedy subnational inequalities or instead erode subnational organizational capacity. Developments in American public education (1997-2015) offer perspective on this puzzle, which we examine by applying interrupted time series analysis to a novel dataset to assess the implications of centralization on subnational investments in administrative and technical capacity, two dimensions of organizational capacity. We find simultaneous subnational erosion in administrative capacity and growth in technical capacity following centralization, both of which appear concentrated in low-poverty areas despite centralization's explicit antipoverty purposes. Public education reforms highlight both the challenge of dismantling subnational inequality through centralization and the need for future research on policy designs that enable centralization to yield subnational capacity that is able to remedy inequality. © The Author(s), 2021. Published by Cambridge University Press on behalf of the American Political Science Association.

Centralization and Subnational Capacity: The Struggle to Make Federalism Work Equitably in Public Education

Balloon angioplasty versus debulking for treatment of diffuse in-stent restenosis

Impact of Complications on Resource Utilization During 90-Day Coronary Artery Bypass Graft Bundle for Medicare Beneficiaries

This editorial refers to ‘Impact of clinical presentation on ischaemic and bleeding outcomes in patients receiving 6 or 24 month duration of dual antiplatelet therapy after stent implantation: a pre-specified anaylsis from the Prolonging Dual Antiplatelet Treatment After Grading Stent-Induced Intimal Hyperplasia (PRODIGY) trial’, by F Costa et al , on page doi:101093/eurheartj/ehv038 

In a letter published in 1935 in the journal Nature , Ronald Fisher, one of the fathers of modern statistical theory, described the phenomenon that had become known as ‘errors of the second kind’—that is, ‘the logical fallacy of believing that a hypothesis has been proved to be true, merely because it is not contradicted by the available facts … ’1 He would go on to write, ‘It would … add greatly to the clarity with which the tests of significance are regarded if it were generally understood that tests of significance, when used accurately, are capable of rejecting or invalidating hypotheses, in so far as these are contradicted by the data; but that they are never capable of establishing them as certainly true’ In the realm of randomized clinical trials, errors of the second kind, more commonly referred to as Type II error, are typically addressed during the assessment of statistical power for a given sample size However, Type II error remains a critical consideration in the interpretation of trial results, particularly in subgroup assessments, which invariably are less highly powered than parent studies Eighty years after Fisher's description of Type II error, Costa et al  provide a new opportunity to examine critically what constitutes sufficient evidence to declare that a treatment has no beneficial effect, this time in the …

/pdf/close-encounters-with-errors-of-the-second-kind-evaluating-53jun7nhz8.pdf

David Cohen

Papers

Centralization and Subnational Capacity: The Struggle to Make Federalism Work Equitably in Public Education

Balloon angioplasty versus debulking for treatment of diffuse in-stent restenosis

Impact of Complications on Resource Utilization During 90-Day Coronary Artery Bypass Graft Bundle for Medicare Beneficiaries

Close encounters with errors of the second kind: evaluating risks and benefits of long-term dual antiplatelet therapy.

6. Learning and Policy