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Advanced Applied Biostatistics for Health Care Professionals


LIVE

  • Overview
  • Faculty
  • Schedule
Add to Calendar Advanced Applied Biostatistics for Health Care Professionals 3/7/2020 8:30:00 AM 3/7/2020 5:30:00 PM Asia/Riyadh For More Details: https://wcmq.cloud-cme.com/course/courseoverview?EID=1918 Description: This is the final level of a 3-workshop series 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, STATA, .etc.NOTE: Participants are required to bring their own laptop to the wo... Seminar Room A053, WCM-Q false MM/DD/YYYY


Date & Location
Saturday, March 7, 2020, 8:30 AM - 5:30 PM, Seminar Room A053, WCM-Q

Overview

This is the final level of a 3-workshop series 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, STATA, .etc.

NOTE: Participants are required to bring their own laptop to the workshop 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.


Target Audience
Specialties - Allied Health Professionals, Dentists, Educators, Nurses, Pharmacists, Physicians, Researchers, Students

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

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

Registration

180 QAR

Changes or Cancellations

  • Name changes or substitutions are not permitted.
  • All cancellation and refund requests must be made in writing and submitted via email to [email protected].
  • For a full refund of the registration fee, the cancellation request must be received at least 7 days prior to the session. No refund will be offered for cancellation request thereafter.
  • We will attempt to process the refund within 30 days of receiving any cancellation request.
  • Weill Cornell Medicine-Qatar reserves the right to cancel the course. In the event of a cancellation, fee deposit will be returned, but we will not be responsible for any other expenses including restricted or non-refundable airfare or hotel deposits.

Accreditation
 
Weill Cornell Medicine-Qatar is accredited as a provider of Continuing Medical Education (CME) and Continuing Professional Development (CPD) by the Qatar Council for Healthcare Practitioners (QCHP) of the Ministry of Public Health.

This activity is an Accredited Group Learning Activity (Category 1) as defined by the Qatar Council for Healthcare Practitioners-Accreditation Department and is approved for a maximum of 7 hours. 

Weill Cornell Medicine-Qatar is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

The Weill Cornell Medicine-Qatar designates this live activity for a maximum of 7 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Disclosure of Relationships/Content Validity

It is the policy of Weill Cornell Medicine-Qatar to adhere to Qatar Council for Healthcare Practitioners (QCHP) and Accreditation Council for Continuing Medical Education (ACCME) Criteria, Policies, and Standards for Commercial Support and content validation in order to ensure fair balance, independence, objectivity, and scientific rigor in all its sponsored programs. All faculty participating in sponsored programs are expected to disclose relevant financial relationships pertaining to their contribution to the activity, and any discussions of off-label or investigational uses of approved commercial products or devices, or of any products or devices not yet approved in the United States and elsewhere. WCM-Q CME/CPD activities are intended to be evidence-based and free of commercial bias. 



Member Information
Role in activity
Nature of Relationship(s) / Name of Ineligible Company(s)
Faculty Photos
Soha Dargham, MPH
Senior Biostatistician
Weill Cornell Medicine-Qatar
Doha, Qatar
Faculty
Nothing to disclose
Faculty Photos
Syed Latifi, PhD
Acting Director, Office of Educational Development
Weill Cornell Medicine-Qatar
Doha, Qatar
Faculty
Nothing to disclose
Faculty Photos
Ziyad R Mahfoud, PhD
Professor of Research in Population Health Sciences
Weill Cornell Medicine-Qatar
Doha, Qatar
Faculty
Nothing to disclose

Saturday, March 7, 2020

Complete registration and ensure that the statistical software works
8:30AM - 9:00AM
Pre-test
9:00AM - 9:30AM

Objectives:
  1. Identify current knowledge pertaining to biostatistical concepts that will be covered in the current training.
Review material from first and second training
9:30AM - 10:45AM
Ziyad R Mahfoud, PhD (Speaker)
Syed Latifi, PhD (Facilitator)
Soha Dargham, MPH (Facilitator)

  1. Descriptive statistics
  2. Analysis of numeric variables
  3. Analysis of Categorical variables



Objectives:
  1. Compute descriptive statistics.
  2. Demonstrate an understanding of analysis of numeric and categorical variables.
  3. Employ multiple linear regression to analyze a full model.
  4. Employ multiple logistic regression to analyze a full model.
Selecting variables for multiple regression
10:45AM - 12:15PM
Ziyad R Mahfoud, PhD (Speaker)
Syed Latifi, PhD (Facilitator)
Soha Dargham, MPH (Facilitator)

  1. Computer based methods
  2. Other methods
  3. Application



Objectives:
  1. Employ forward, backward and stepwise methods of variables selection for linear and logistic regression models.
  2. Employ other methods of variables selection for linear and logistic regression.

     

    Coffee Break
    12:15PM - 12:30PM
    One way ANOVA
    12:30PM - 1:30PM
    Ziyad R Mahfoud, PhD (Speaker)
    Syed Latifi, PhD (Facilitator)
    Soha Dargham, MPH (Facilitator)

    1. Understanding the ANOVA table
    2. Multiple testing model
    3. How does it work with categorical variables
     

    Objectives:
    1. Employ one-way ANOVA and multiple testing procedures for numeric variables.
    2. Employ Chi-squared test for multiple groups with pairwise comparison procedures.
    Lunch Break
    1:30PM - 2:30PM
    Nonparametric tests
    2:30PM - 3:45PM
    Ziyad R Mahfoud, PhD (Speaker)
    Syed Latifi, PhD (Facilitator)
    Soha Dargham, MPH (Facilitator)

    1. For bivariate analysis
    2. For one way ANOVA


    Objectives:
    1. Demonstrate an understanding of the difference between parametric and non-parametric tests.
    2. Apply nonparametric tests such as Wilcoxon’s signed rank test, rank sum test, and the Kruskal Wallis test.
    Coffee Break
    3:45PM - 4:00PM
    Introduction to Survival Analysis
    4:00PM - 5:15PM
    Ziyad R Mahfoud, PhD (Speaker)
    Syed Latifi, PhD (Facilitator)
    Soha Dargham, MPH (Facilitator)

    1. Kaplan Meier Method and Curve
    2. Log Rank test and Hazard Ratio


    Objectives:
    1. Demonstrate an understanding of the concept of time to event and censoring.
    2. Apply Kaplan Meier method to obtain survival estimates and curves.
    3. Employ the log rank test.
    4. Demonstrate an understanding of the concept of hazard ratio.
    Post-test
    5:15PM - 5:30PM

    Objectives:
    1. Evaluate to which extent the learning objectives were met.
    2. Summarize the key learning points.

    Click here to complete a disclosure form