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Event: 'Introduction To Data Analysis: A Short Course In SPSS' Print
  Course
Date: Friday, November 24, 2017 At 08:00 AM
Duration: 2 Days

Date: 24th - 25th November 2017 – 2 days
Last date for receipt of applications – 20th November 2017

Introduction:

This short course introduces data analysis using IBM SPSS. Participants will have opportunity to analyse real life medical data.The short course will cover: data entering,data labelling, data cleaning, data computing/ transforming, and data analysis (usingcommands on menus) including summarystatistics, hypothesis test, 95% CI, ANOVA,non-parametric method, RR, OR, correlation,linear regression, logistic regression and Cox’s regression..

Learning objectives:

  • Be familiar with basic SPSS functions and its tools. These functions and tools will enable students to proficiently open and create SPSS data files..
  • Present data using SPSS generated graphs and summary statistics.
  • Conduct an independent and paired sample t-test to analyze data, where variable is collected on a continuous scale.
  • Conduct a One-Way ANOVA to compare more than two groups where the test variable is collected on a continuous scale and the data in each group follows the normal distribution.
  • Analyse data when normality assumption for data does not hold, ie. the data does not follow the normal distribution. Thus the data can be continuous, discrete or ordinal but asymmetric.
  • The statistical methods used to analyse such data are collectively known as Non- Parametric Methods or distribution free method.
  • Evaluate the effect of exposures on the outcome where outcome is continuous. However, exposure could be numerical or categorical or a combination of both.
  • Evaluate the association between an exposure and an outcome variable, where they are either binary or multinomial (morethan two categories).Evaluate the effect of exposures on the outcome where outcome is categorical BINARY and exposure could be numerical and/or categorical.
  • Evaluate the effect of exposures on the outcome where outcome is categorical Binary and time dependent (time to event data) or survival analysis.
  • Manage data (entering, labelling, creating, cleaning, etc.

Required:

Participants must bring a laptop (Windows) to this course which has either SPSS or a trial version of SPSS installed

Participants are required to have successfully completed the topics below either through previous study or attendance of the Biostatistics for Clinical and Public Health Research short course:

  • Key Concepts in Public Health and Clinical Studies.
  • Statistical Methods for Analysing Continuous Data
  • Statistical Methods for Analysing Categorical Data
  • Sample size calculation

Who should attend?:

  • Post-graduates in any discipline pursuing research (Dissertation).
  • Research Scholars pursuing PhD(Thesis).
  • Faculty from any discipline pursuing research.

Course fee.

Rs.1700/- for 1 Day and Rs.3000/- for 2 Days which includes study material, Lunch and snacks for the participants.


Limited accommodation is available on first come first served basis at the institute at extra cost.

For registering yourself as participants kindly fill in the application form and mail the scanned copy to Mr T S Ramesh on This e-mail address is being protected from spambots. You need JavaScript enabled to view it or for any queries related to the course please call on +9198801 88467.

Download Brochure Download Application Form



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