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Brian Haynes ,. David L. Gordon Guyatt. Peter Tugwell. The Third Edition of this popular text focuses on clinical-practice research methods. It is written by clinicians with experience in generating and answering researchable questions about real-world clinical practice and health care—the prevention, treatment, diagnosis, prognosis, and causes of diseases, the measurement of quality of life, and the effects of innovations in The Third Edition of this popular text focuses on clinical-practice research methods.
It is written by clinicians with experience in generating and answering researchable questions about real-world clinical practice and health care—the prevention, treatment, diagnosis, prognosis, and causes of diseases, the measurement of quality of life, and the effects of innovations in health services.
The book has a problem-oriented and protocol-based approach and is written at an introductory level, emphasizing key principles and their applications. Get A Copy. Paperback , pages. More Details Original Title. Other Editions 4. Friend Reviews. To see what your friends thought of this book, please sign up. To ask other readers questions about Clinical Epidemiology , please sign up.
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All Languages. More filters. Sort order. Kevin Curry rated it liked it Dec 01, Blackford Middleton rated it it was amazing Apr 22, Victoria Wurcel rated it did not like it Oct 22, Churchill Livingstone, Edinburgh. This unit aims to further participants knowledge and skills in teaching clinical epidemiology - at an advanced level. Participants have the opportunity to develop their own teaching modules based upon the modules they have been exposed to in the Clinical Epidemiology Program at the University of Sydney.
Participants are expected to develop, teach and evaluate a clinical epidemiology module of at least 9 hours teaching time. They are also expected to nominate a topic in the area of Teaching Clinical Epidemiology and explore the area in an essay. By the end of this unit participants will have developed, delivered and evaluated a teaching module in Clinical Epidemiology by: developing materials about clinical epidemiology relevant to the target audience and setting; developed a method of teaching which is relevant to the target audience and setting; developing and using an assessment tool appropriate for the teaching module; developing and using a method of evaluation appropriate for the teaching module; explored, through an essay, an academic area of interest in Teaching Clinical Epidemiology.
This will then be complemented by presentations from experienced researchers on the practical aspects of clinical epidemiological research, including: funding application, ethical approval, implementation of study designs and publication strategies.
This unit introduces the concepts and methodology used in genetic epidemiology. It begins with a refresher on molecular biology and genetics, followed by a survey of commonly used study designs. Practical implementation and statistical analysis of these studies will then be discussed.
The unit concludes by exploring potential clinical and societal ramifications. By the end of this unit students will be able to critically appraise genetic epidemiological studies and act as informed research collaborators. During this unit students will evaluate guideline development; critical appraisal of guidelines; introduction to implementation and evaluation of guidelines; involvement of consumers in guidelines; examination of hospital-based and community-based guidelines.
Group and individual critical appraisal work is required. The aim of this unit is to enable students to appraise and incorporate patient-reported outcome measures PROM in clinical research. PROMs include: symptoms, side-effects, quality of life, satisfaction and preferences. Topics include: definitions, structure and functions of PROMs; item-generation and selection; questionnaire design; assessing validity, reliability and responsiveness to clinically important change; utilities and preferences; developing and appraising studies using PROMs.
The online sessions combine information giving first 90 minutes with discussion and problem solving last 30 minutes. Course notes are provided. Health Measurement Scales: a practical guide to their development and use. Oxford University Press, This unit covers advanced statistical analysis techniques that are commonly required for analysing complex data that arise from clinical or epidemiological studies.
In particular, students will learn how to analyse data from clustered or longitudinal study designs; these include, for example, cross-over studies, matched case-control studies, cluster randomised trials and studies involving repeated measurements.
Simple techniques, such as stratification, to advanced statistical models will be covered: Generalised Estimating Equations GEE , mixed effects models and hierarchical or multilevel models. Model-building strategies will also be further developed, such as handling non-linear continuous variables. The focus will be on the application of statistical methods using statistical software and the interpretation of results. This unit provides students with an opportunity to develop a Clinical Epidemiology study proposal under supervision.
The proposal will include: background to the project; project plan; project significance; justification of the project; project method; budget; and ethical implication of project. At the end of the unit, the student will be proficient in writing research proposals suitable for submission to an appropriate funding body. Student assignment involves writing a study proposal suitable for submission to a funding body.
The aim of this unit is to conduct a clinical epidemiology project and write a report on the project in the form of a paper suitable for publication. The project will involve: refining the project proposal; data collection; data analysis; and produce a report suitable for publication.
At the end of the unit, the student will be proficient in conducting and writing a report of a clinical epidemiology project. The report should be suitable for publication in a peer reviewed journal. This unit provides students with core skills in epidemiology, particularly the ability to critically appraise public health and clinical epidemiological research literature. It is expected that students spend an additional hours preparing for their tutorials.
Webb, PW. Bain, CJ. This unit aims to provide students with an introduction to statistical concepts, their use and relevance in public health.
This unit covers descriptive analyses to summarise and display data; concepts underlying statistical inference; basic statistical methods for the analysis of continuous and binary data; and statistical aspects of study design. Specific topics include: sampling; probability distributions; sampling distribution of the mean; confidence interval and significance tests for one-sample, two paired samples and two independent samples for continuous data and also binary data; correlation and simple linear regression; distribution-free methods for two paired samples, two independent samples and correlation; power and sample size estimation for simple studies; statistical aspects of study design and analysis.
Students will be required to perform analyses using a calculator and will also be required to conduct analyses using statistical software SPSS. It is expected that students spend an additional 2 hours per week preparing for their tutorials. Computing tasks are self-directed. This unit examines quantitative approaches to public health and clinical decision-making.
Topics of study include: decision trees and health related utility assessment; incorporating diagnostic information in decision making; sensitivity and threshold analysis and application of decision analysis to economic evaluation. Exercises are set at the end of most sessions and are reviewed at the start of the following session. Readings are also set after most sessions. Preparation time for each session is hours. The fifth session comprises a quiz followed by a 1hr practical in the computing room using a decision analysis software package. This unit introduces important issues in trial design, protocol development, ethics and principles of analysis.
Topics of study include: principles of controlled trials; study design and randomization; analysis and interpretation; ethical issues and data management considerations. At the end of this unit, students should acquire skills relating to parallel and cross-over trial design, setting up a randomisation scheme, and understanding issues of multiplicity in clinical trials.
During the workshop, there will be formal lectures on an area of controlled trials methodology, followed by a practical session led by a faculty member, based on material to be reviewed by students prior to the class. Lecture notes and solutions to practicals will be provided. Sydney: Australasian Medical Publishing Company; This unit is designed to further develop concepts covered in the Epidemiological Methods Unit for those students seeking more detail on screening and diagnostic tests. It will cover a wider range of topics than clinical medicine alone.
The unit is based on weekly discussion of material provided in the unit workbook, session outlines and pre-reading. Students will be encouraged to contribute examples for discussion. Face-to-face tutorials may also be offered. Students studying in distance mode must have access to a computer running a version of Microsoft Windows compatible with the latest version of SAS.