Thank you for your interest. This course presents an overview of the methodology that guides epidemiological and clinical research. Free Courses Our free online courses provide you with an affordable and flexible way to learn new skills and study new and emerging topics. John Hopkins Bloomberg School of Public Health A course dedicated to the concepts and tools behind reporting modern data analyses in a reproducible manner.

©Copyright

This course is typically offered during Autumn Quarter.

Please click the button below to receive an email when the course becomes available again. Project involving generation of a meta-research project or reworking and evaluation of an existing published meta-analysis.

Complete or be enrolled in at least 1 approved Biostatistics and Research Methods course.

The course will cover the spectrum of clinical research and the research process by highlighting epidemiologic methods, study design, protocol preparation, patient monitoring, quality assurance, and Food and Drug Administration (FDA) issues. Please click the button below to receive an email when the course becomes available again.

94305. EPI225 (formerly HRP225) and EPI259 (formerly HRP259); or prior equivalent course background (with permission of the instructor). Epidemiology and Clinical Research Graduate Certificate, Stanford Center for Professional Development, Entrepreneurial Leadership Graduate Certificate, Introduction to Epidemiologic and Clinical Research Methods. This course seeks to fulfill the clinical community’s need to improve skills in the critical evaluation of clinical research papers. Epidemiologists and clinical researchers gain a strong foundation in research methodology principles for designing, conducting, and interpreting epidemiological and clinical research studies. This course covers the designs and methods that should be used to evaluate technologies to diagnose patients, predict prognosis or other health events, or screen for disease.

: HRP 225 or consent of instructor) EPI 258: Introduction to Probability and Statistics for Clinical Research: K. Sainani: Spr. Competency in critical appraisal skills can have a significant impact by improving clinical practice, quality of research projects, and peer-review of manuscripts and grants. To help meet METRICS’ goal of establishing meta-research as a new field of study and to improve how researchers conduct, report and disseminate their findings, we support a variety of education and training opportunities. The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Candidates must pay a nonrefundable certificate registration fee. Meta-analysis as a quantitative (statistical) method for combining results of independent studies. None.

Stanford, This course focuses on the theoretical underpinnings of clinical research and the practical aspects of conducting clinical trials: the rationale for design features of Phase I, II, and III trials, recruitment of participants, techniques for randomization, data collection and endpoints, interim monitoring, and results reporting. Intended for physicians, basic scientists, medical students, nurses, and any other health professional seeking to enhance their knowledge in clinical research. Through the development of curricula to be delivered in the classroom and online, METRICS intends to produce a new generation of scholars focused on transforming research practices and improving the quality of scientific studies. Essentials of Clinical Research at Stanford. Appraisal of the quality and credibility of research findings; evaluation of sources of bias. Students explore common study designs, precision and accuracy in measurement, sample size estimation and tools, ways to identify and minimize study biases, and analysis and critique of studies. Taught by METRICS Co-director, Professor Steven Goodman, this 11 session course will cover design and analysis of clinical studies, good clinical practices, data management, and regulatory guidance, and conducting ethical research and research reproducibility. ©Copyright 3: EPI 226: Intermediate Epidemiologic and Clinical Research Methods: J. Simard : Win. Students may also register for credit. 3 (Prereq. Knowledge of statistical software is not required, although facility with at least Excel for basic calculations is needed. 94305.

Thank you for your interest. Stanford University. Prerequisite: knowledge of basic statistics. Experts will deliver lectures on such topics as pitfalls in design and interpretation, missing data, nonpharmacological trials, and clinical trials involving medical devices.

Students will prepare a full proposal for an original clinical trial, using the NIH Research Project (R01) grant format, and will critique proposals of fellow students in a mock study section setting. These clinical instincts, while understandable and laudable, have the potential to obscure the true nature of clinical research, as investigators and subjects alike try to convince themselves that clinical research involves nothing more than the provision of clinical care. This course focuses on the theoretical underpinnings of clinical research and the practical aspects of conducting clinical trials: the rationale for design features of Phase I, II, and III trials, recruitment of participants, techniques for randomization, data collection and endpoints, interim monitoring, and results reporting. Course availability will be considered finalized on the first day of open enrollment. Course highlights obesity as an important public health issue requiring interdisciplinary clinical, research and policy approaches. Epidemiology and Clinical Research Graduate Certificate, Stanford Center for Professional Development, Entrepreneurial Leadership Graduate Certificate, Interventions, participants, and outcomes, Interim monitoring, data monitoring committees, Comparative effectiveness trials; point-of-care trials, Clinical trials involving medical devices. For quarterly enrollment dates, please refer to our graduate certificate homepage. NOTE: This course updated its course number, please enroll under the new course number EPI251. If you have relevant educational resources you would like to share, please email John Ioannidis. New technologies designed to monitor and improve health outcomes are constantly emerging, but most fail in the clinic and in the marketplace because relatively few are supported by reliable, reproducible evidence that they produce a health benefit. Stanford Online. Meta-research Innovation Center at Stanford, Essentials of Clinical Research at Stanford, HRP 206: Meta-research: Appraising Research Findings, Bias, and Meta-analysis (MED 206, STATS 211), HRP219: Evaluating Technologies for Diagnosis, Prediction and Screening, Introduction to the Principles and Practice of Clinical Research (IPPCR). Examples from medicine, epidemiology, genomics, ecology, social/behavioral sciences, education. California

NIH Clinical Center A course to train participants on how to effectively conduct clinical research. The course you have selected is not open for enrollment. California This course is designed for 3rd year bachelor students, master students, or starting PhD students with some basic knowledge of statistical tests.

These technologies can include devices, statistical prediction rules, biomarkers, gene panels, algorithms, imaging, or any information used to predict a future or a previously unknown health state. For it to count towards the certificate, you must earn credit. Course availability will be considered finalized on the first day of open enrollment. The course you have selected is not open for enrollment. Stanford University. NOTE: This course updated its course number from HRP225. Basic knowledge of statistics is helpful but not required. Open to graduate, medical, and undergraduate students. Learn from Stanford instructors and industry experts at … This course presents an overview of the methodology that guides epidemiological and clinical research.

This course, broken into 4 modules, provides a step-by-step model for the design and conduct of clinical research at Stanford. This class is credit/no credit. Collaborative analyses. Terms: Win | Units: 3 | Grading: Medical Satisfactory/No Credit. The Certificate Program in Clinical Research Conduct and Management is taught in both a hybrid format that consists of 50 percent classroom instruction and 50 percent online instruction and a fully online format. Participants will be introduced to literate statistical analysis tools, which allow publishing of data analyses in a single document for easy replication of the same analysis to obtain the same results. Stanford, Students may also register for credit. Open to students with an understanding of introductory biostatistics, epidemiologic and clinical research study design. ... Introduction to Epidemiologic and Clinical Research Methods: R. Popat: Aut. The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Students explore common study designs, precision and accuracy in measurement, sample size estimation and tools, ways to identify and minimize study biases, and analysis and critique of studies.

The curriculum comprises 4 required courses for a total of 12 semester units (180 hours of instruction). Taught by METRICS Co-director, Professor Steven Goodman, this 11 session course will cover design and analysis of clinical studies, good clinical practices, data management, and regulatory guidance, and conducting ethical research and research reproducibility. Eindhoven University of Technology This course aims to help participants draw better statistical inferences from empirical research. Specific topics to be covered include the phases of test development, how to frame a proper evaluation question, measures of test accuracy, Bayes theorem, internal and external validation, prediction evaluation criteria, decision analysis, net-utility, ROC curves, c-statistics, net reclassification index, decision curves and reporting standards. For quarterly enrollment dates, please refer to our graduate certificate homepage. Examples of technology assessments and original methods papers are used. Part of the Data Science Specialization series offered via Coursera and is intended for those with a background and/or interest in data science.

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