Statistical Analysis of Count Data

Events
Jun
07
Statistical Analysis of Count Data
One-Day Workshop
Details

Course Overview:

The workshop will introduce count data, understanding assumptions, assessing fit of the model and interpreting model parameters and associated statistics. We will cover modern approaches to analyzing count data including Poisson regression, Negative Binomial regression, Generalized Poisson model, Zero-inflated and Zero Truncated Poisson and Negative Binomial models. The workshop is intended for practicing researchers who wishes to analyze count data. The course will be mostly non-technical with lecture and some hands-on analysis. The lecture analyses will be demonstrated using STATA software.

 Learning Objectives:

  1. Gain understanding of count data and its characteristics
  2. Learn about different count data models (Poisson, Negative Binomial, Generalized Poisson, ZIP and ZINB models.
  3. Hone skills in comprehension and evaluation of statistical methods for count used in articles data from important studies in public health and medicine

Participants: Maximum 20 participants.

The course is open for practicing researcher who wishes to model count data  with following backgrounds biostatistics or statistics, epidemiology, medicine, dental and public health. Prerequisite for this workshop is general competency in understanding of multivariable linear regression and logistic regression models.

Application: You can apply by sending an email to the below mentioned email ID followed by the payment of fees -

  • Demand draft (DD) drawn in favour of St. John’s Research Institute, Bangalore or
  • By NEFT [beneficiary name: St. John’s Research Institute; bank name: Bank of Baroda; beneficiary’s bank A/c #: 05210100024920; branch: John Nagar, St. John’s Medical College, Koramangala, Bangalore-560034; IFSC code: BARB0STJOHN (5th digit zero)]

Course Fee: Rs. 5000/- per participant (excludes travel and incidentals)

Date: Tuesday, June 7, 2016 (One day)

Venue: Biorepository conference hall, St. John’s Research Institute, Bangalore - 560034

Course Faculty:
Dr. Shankar Viswanathan, DrPH, MSc
Assistant Professor, Division of Biostatistics
Department of Epidemiology and Population Health
Albert Einstein College of Medicine,
Bronx, New York, USA

Course Co-ordinator:
Dr. Tinku Thomas PhD
Associate Professor
Division of Epidemiology and Biostatistics
St. John’s Research Institute
Koramangala
Bangalore – 560034
Email: tinku.sarah@sjri.res.in

For registration form and further details, please see the attachment below.

Attachment