Certificate in the Analysis of Medical Data: Applied Biostatistics for Health Care Professionals

Description:

This is a series of three workshops (introductory, intermediate and advanced) aimed at enabling health care professionals (HCP) to organize, manage, and analyze their data and properly interpret and summarize its results. The workshops will be applied in nature where biostatistical concepts will be explained through case studies using a statistical software such as IBM-SPSS.

Overall Learning Objectives: 

At the end of the three workshops, participants will be able to:

1. Enter and manage data using a statistical software
2. Perform bivariate analysis for both continuous and dichotomous outcomes
3. Perform multivariate analysis for both continuous and dichotomous outcomes
4. Perform simple analysis for survival data

Introductory Applied Biostatistics for Health Care Professionals 

Description

This is the introductory level in a series of three workshops aimed at enabling health care professionals (HCP) to organize and analyze their data and properly interpret and summarize it. The workshop will be applied in nature where biostatistical concepts will be explained through case studies using a statistical software such as IBM-SPSS.

Overall Learning Objectives:

At the end of this activity, participants will be able to:

1. Use IBM SPSS to enter, code and manage data
2. Summarize variables both in numbers and graphs
3. Use IBM SPSS to apply basic analysis of numeric outcomes and categorical outcomes

Intermediate Applied Biostatistics for Health Care Professionals 

Description

This is the intermediate level in a series of three workshops aimed at enabling health care professionals (HCP) to organize and analyze their data and properly interpret and summarize it. The workshop will be applied in nature where biostatistical concepts will be explained through case studies using a statistical software such as IBM-SPSS.

Overall Learning Objectives:

At the end of this activity, participants will be able to:

1. Develop a linear regression model to examine the relationship between a numeric dependent variable and one or more independent variables
   
2. Develop a logistic regression model to examine the relationship between a dichotomous dependent variable and one or more independent variables
   
3. Test for interaction in regression
4. Assess confounding in regression

Advanced Applied Biostatistics for Health Care Professionals

Description

This is the advanced level in a series of three workshops aimed at enabling health care professionals (HCP) to organize and analyze their data and properly interpret and summarize it. The workshop will be applied in nature where biostatistical concepts will be explained through case studies using a statistical software such as IBM-SPSS.

Overall Learning Objectives:

At the end of this activity, participants will be able to:

1. Generate a multiple linear regression
2. Generate a multiple logistic regression 
3. Analyze data from a one-way ANOVA
4. Analyze data using nonparametric statistics
5. Generate a Kaplan Meier Curve and compute median survival
   
6. Interpret Hazard Ratios and their confidence intervals

REQUIREMENTS: Participants MUST have their own laptop with SPSS software downloaded. 

Certificate

An anonymous evaluation will be conducted online. All participants are required to complete the Evaluation Form in order to qualify for a certificate of attendance.

If you wish to receive a certificate of completion “Certificate of Analysis in Medical Data”, you are required to complete the three workshops (Introductory, Intermediate, and Advanced Applied Biostatistics for Health Care Professionals) and pass the test at the end of each activity.

Participants not wishing to receive a Certificate of Analysis in Medical Data have the option of registering for any of the three workshops and would receive a certificate indicating the level of a workshop attended and the number of credits received as per hours attended.

Target Audience

Physicians, Nurses, Dentists, Pharmacists, Allied Health Professionals, Students, Researchers, Educators