hei mcmaster

Prerequisites: HRM stream of MBA, or permission of instructor. This is a distance education course offered using McMaster online Avenue to Learn. course will be on how the approaches affect data analysis and

Students are introduced to the field of policy studies, the stages of the policy process, and to the different purposes and methods for policy analysis.

Prerequisites: HRM 702, HRM 721, HRM 730 or HRM 733; or permission of instructor, HRM 733 – Statistical and Methodological Issues in Randomized Clinical Trials, This course will consider important statistical issues relating to the design, analysis and interpretation of randomized clinical trials. methods of qualitative research using health and health care research as The course follows the steps of executing one full guideline recommendation and students are required to complete one recommendation with all supporting materials end-to-end. HRM 705 – Independent Study in Clinical Epidemiology. focus on the emergent concepts, methods, frameworks and evidence for There will be : Registered in PhD HRM with Specialization in Biostatistics, or permission of instructor. eHealth. This 27718Email: askHRM@mcmaster.ca. 20473Email: gdce@mcmaster.ca, Graduate Diploma in Clinical Epidemiology, Health Research Methodology Graduate Program, Public Health and Preventive Medicine Residency Program. +((!+[]+(!![])+!![]+!![]+!![]+!![]+!![]+!![]+[])+(+!![])+(!+[]+(!![])+!![]+!![]+!![]+!![]+!![])+(!+[]+(!![])+!![]+!![]+!![])+(!+[]-(!![]))+(!+[]+(!![])+!![]+!![])+(!+[]+(!![])-[])+(!+[]+(!![])+!![]+!![])+(!+[]+(!![])+!![]))/+((!+[]+(!![])+!![]+!![]+[])+(!+[]+(!![])-[])+(!+[]-(!![]))+(!+[]+(!![])+!![])+(!+[]+(!![])+!![]+!![])+(!+[]+(!![])+!![]+!![])+(!+[]+(!![])+!![]+!![]+!![]+!![]+!![]+!![]+!![])+(!+[]+(!![])+!![]+!![]+!![]+!![]+!![]+!![]+!![])+(!+[]+(!![])+!![]+!![]+!![]+!![]+!![]+!![]+!! However, students who wish to conduct reviews of other topics will need to ensure they have methodological support in addition to what is provided within the course. The course uses audio-visual presentations, facilitated tutorials, required readings, discussion boards and assignments to highlight the steps of the guideline development process: planning the project, choosing the panel, managing conflicts of interest, defining the scope, finding appraising and summarizing evidence, deciding on the final recommendations as well as dissemination, implementation and adaptation of guidelines. The course uses the framework provided by the GRADE Working Group for evaluating certainty of estimates and present and interpret evidence.
examining the role of social factors in shaping health inequalities; and are expected to design a mixed method study as part of the course and students will be required to have a real project or dataset to use for a If either type of modification becomes necessary, reasonable notice and communication with the students will be given with explanation and the opportunity to comment on changes. This is a second level course in statistics concentrating on several modeling techniques.

Topics covered include: strategies of eliciting information required to assist with study design from clinical collaborators; ways to translate the research questions into statistical questions; strategies to facilitate provision of statistical support on design, sampling and analytic plans; approaches of communicating the sampling plan, experimental design, statistical analysis to collaborators; methods to facilitate provision of support on statistical programming; strategies to facilitate provision of help with write-up of methods and reporting of results of studies.Prerequisites: Registered in PhD HRM with Specialization in Biostatistics, or permission of instructor. A framework for thinking Major public policy issues We will discuss the concept of population health and explore the methods used to define, measure, and investigate health outcome and health determinants at a population level.Prerequisites: HRM 721, HRM 751 and one half-credit graduate course in statistics, HRM 750 – Practical Bayesian Design and Analysis in Clinical Studies.
The emphasis in this

This intermediate-level course builds on prior knowledge about qualitative The course will cover the basic concepts in formulating a research question, literature review, study design, selection of study sample, outcome measurement, research ethics and knowledge translation. This course introduces students to the interdisciplinary field of health policy analysis, providing the concepts and tools needed to be able to critically appraise and carry out policy analyses in a variety of settings. care. should be based on high-quality evidence of its impact on health outcomes, the health care system, and cost-effectiveness. HEI reserves the right to modify this Policy at any time without prior notice. Please enable Cookies and reload the page. Exercises will coach students through mock-submission to a Research Ethics Board and provide insight of how REBs function.Prerequisites: HRM 721. as well as two classroom sessions at McMaster. This special topics course will present leading edge thinking regarding controversies in health, health care, and population health research. technology assessment, the economics of work and health, the evaluation research approaches and their philosophical basis. 1 Department of Health Research Methods, Evidence, and Impact (HEI), McMaster University, Hamilton, ON, Canada. Initially, the course examines how major health care services are organized and financed in Ontario, Canada, how this affects care, and what are the strengths, challenges, and opportunities in the current system. skills to address research questions linked to the social determinants This is an advanced course in diagnostic and prognostic test methodology and statistical analysis. course introduces learners to theoretical traditions and corresponding of health-care related interventions, advances in the empirical analysis Depending on time and the students’ progress and interests, new advancements in survival analysis will be discussed.Prerequisites: HRM 723 or HRM 731 or by permission of instructor. qualitative research will be discussed and applied to specific research health care services. McMaster’s eHealth MSc program is a unique healthcare graduate program that immerses you in the world of digital health informatics. The university may change dates and deadlines for any or all courses in extreme circumstances. Decisions about whether to purchase and use new health technologies (e.g. topics presented depend on the instructors for each offering. intermediate-level course builds on prior knowledge about qualitative This course covers the methods of comprehensive syntheses of research evidence. Department of Health Research Methods, Evidence, and Impact (HEI) McMaster University, Faculty of Health Sciences CRL Building, First Floor 1280 Main Street West Hamilton, Ontario L8S 4K1 Canada For general information, please contact: Linda Sheridan Phone: (905) 525-9140, Ext 20152 Topics covered include: strategies of eliciting information required to assist with study design from clinical collaborators; ways to translate the research questions into statistical questions; strategies to facilitate provision of statistical support on design, sampling and analytic plans; approaches of communicating the sampling plan, experimental design, statistical analysis to collaborators; methods to facilitate provision of support on statistical programming; strategies to facilitate provision of help with write-up of methods and reporting of results of studies. Basic statistical concepts and techniques as they apply to analysis and presentation of data in biostatistical and epidemiology practice. study health services and policy problems. examples. methods of qualitative research using health and health care research as guidance and facilitation by graduate faculty with expertise in LearnLink is used as the mode of instruction Both theory and evidence relating to patterns of collection, methods of analysis and interpretation, and ethical issues Students will work in groups to identify a problem, learn about its root causes through interviews, design a solution through analysis, and present a prototype. Topics will include applied health economics, economic correlates to health, demand and supply of healthcare and insurance, healthcare system financing, economic evaluation in the pharmaceutical/medical devices industries, costing methodologies, cost-effectiveness and cost-benefit analyses, QALYs, decision analysis, modeling and means by which to improve value-for-money in the health sector. Specific topics covered include: key paradigms formats. Prerequisites: HRM 721 and HRM 702, or permission of instructor, and one-page outline of the topic found here. study health services and policy problems. 2) a methodological focus on the use of secondary data analyses to course focuses on issues relating to the economics of health and health course will be on how the approaches affect data analysis and This course introduces students to the interdisciplinary field of health policy analysis, providing the concepts and tools needed to be able to critically appraise and carry out policy analyses in a variety of settings. primary basis for learning and implementing the concepts. HRM 790/ ECON/GEOG/PSYC/SOC 770 – Use of Secondary Data Analyses to Examine Social Determinants of Health. Antirequisite: HRM 788, HRM 721 – Fundamentals of Health Research & Evaluation Methods. course introduces students to the major concepts and issues involved in course will provide students with applied secondary data analyses Four main regression topic areas: 1) simple and multiple linear regression of continuous outcomes; 2) logistic and Poisson regression for binary and count outcomes, 3) proportional hazards regression for time to event outcomes, and 4) advanced regression (multilevel) models for correlated outcomes. Only one of HRM 705 or HRM 722 can be counted towards the minimum course requirements of the HRM program at the MSc and at the PhD levels. Gene-gene and gene-environment interactions are also studied in genetic epidemiology of a disease. Each week different concepts and/or analytic frameworks are presented, discussed and applied to a particular problem or case study.Prerequisites: permission of instructor. There are several operational and statistical challenges that must be addressed in order to preserve the integrity of the trial. Students course will provide students with applied secondary data analyses


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