Blog Archives

Introduction to the Principles and Practice of Clinical Research (IPPCR)

VN:F [1.9.22_1171]
Rating: 5.0/5 (2 votes cast)

Source: NIH Clinical Center

Type: Archive of Video and Handouts from Course

Level: Basic

Description: The Introduction to the Principles and Practice of Clinical Research (IPPCR) is a study curriculum on how to effectively conduct clinical research. The program trains researchers in how to design a successful clinical trial by focusing on epidemiologic methods, study design, protocol preparation, patient monitoring, quality assurance, and Food and Drug Administration (FDA) issues. Other areas covered include data management and ethical issues, including protection of human subjects.

Continuing Education Credits: N/A

Health Issues for Aging Populations

VN:F [1.9.22_1171]
Rating: 5.0/5 (1 vote cast)

Source: Johns Hopkins Bloomberg School of Public Health

Type: PowerPoint & Lecture Materials

Level: Intermediate

Description: Introduces the study of aging, its implications for individuals, families, and society, and the background for health policy related to older persons. Presents an overview on aging from different perspectives: demography, biology, epidemiology of diseases, physical and mental disorders, functional capacity and disability, health services, federal and state health policies, social aspects of aging, and ethical issues in the care of older individuals.

Continuing Education Credits: N/A

Statistical Reasoning 2

VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

Source: Johns Hopkins Bloomberg School of Public Health

Type: PowerPoint & Lecture Materials

Level: Intermediate

Description: Statistical Reasoning in Public Health II provides a broad overview of biostatistical methods and concepts used in the public health sciences, emphasizing interpretation and concepts rather than calculations or mathematical details. It develops ability to read the scientific literature to critically evaluate study designs and methods of data analysis. It introduces basic concepts of statistical inference, including hypothesis testing, p-values, and confidence intervals. Topics include comparisons of means and proportions; the normal distribution; regression and correlation; confounding; concepts of study design, including randomization, sample size, and power considerations; logistic regression; and an overview of some methods in survival analysis. The course draws examples of the use and abuse of statistical methods from the current biomedical literature.

Continuing Education Credits: N/A

Methods in Biostatistics 2

VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

Source: Johns Hopkins Bloomberg School of Public Health

Type: PowerPoint & Lecture Materials

Level: Intermediate

Description: Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.

Continuing Education Credits: N/A

 

Methods in Biostatistics 1

VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

Source: Johns Hopkins Bloomberg School of Public Health

Type: PowerPoint & Lecture Materials

Level: Basic

Description: Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.

Continuing Education Credits: N/A

Statistical Reasoning 1

VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

Source: Johns Hopkins Bloomberg School of Public Health

Type: PowerPoint & Lecture Materials

Level: Basic

Description: Statistical Reasoning in Public Health I provides a broad overview of biostatistical methods and concepts used in the public health sciences, emphasizing interpretation and concepts rather than calculations or mathematical details. It develops ability to read the scientific literature to critically evaluate study designs and methods of data analysis, and it introduces basic concepts of statistical inference, including hypothesis testing, p-values, and confidence intervals. Topics include comparisons of means and proportions; the normal distribution; regression and correlation; confounding; concepts of study design, including randomization, sample size, and power considerations; logistic regression; and an overview of some methods in survival analysis. The course draws examples of the use and abuse of statistical methods from the current biomedical literature.

Continuing Education Credits: N/A

Biostatistical Methodology in Clinical Trials

VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

Source: ClinDescience Consultancy for Drug and Clinical Development

Type: Article

Level: Basic

Description: This article reviews types of clinical trials and sampling strategies.

Continuing Education Credits: N/A

Introduction to Biostatistics

VN:F [1.9.22_1171]
Rating: 4.0/5 (2 votes cast)

Source: Johns Hopkins Bloomberg School of Public Health

Type: PowerPoint & Lecture Materials

Level: Basic

Description: Introduction to Biostatistics provides an introduction to selected important topics in biostatistical concepts and reasoning. This course represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types. While there are some formulae and computational elements to the course, the emphasis is on interpretation and concepts.

Continuing Education Credits: N/A

An Introduction to Comparative Effectiveness Research (CER 101)

VN:F [1.9.22_1171]
Rating: 5.0/5 (1 vote cast)

Source: The Rockefeller University, Center for Clinical and Translational Science (CCTS)

Type: Blackboard Presentation

Level: Basic

Description: Summarize the key motivating forces that led to comparative effectiveness research. Define comparative effectiveness research. Describe the legislation in the United States that has contributed to the growth of comparative effectiveness research. List key methods used in comparative effectiveness research.

Continuing Education Credits: Yes (1 Credit)

 

An Introduction to Cost-Effectiveness Analysis (CEA 101)

VN:F [1.9.22_1171]
Rating: 5.0/5 (1 vote cast)

Source: The Rockefeller University, Center for Clinical and Translational Science (CCTS)

Type: Blackboard Presentation

Level: Basic

Description: 1. The role for cost-effetiveness in decision making and how it varies by perspective 2. Why it is important to use incremental outcomes 3. How to choose appropriate comparators 4. Where to draw the line in interpeting results

Continuing Education Credits: Yes (1 Credit)