Research led evidences are always essential in structuring health and related programs. These evidences often rely on careful handling of data generated through appropriate study designs. Longitudinal data and careful handling of confounders and effect modifiers always contribute to their scientific importance. Statistical softwares are now indispensible tool in evidence generating process. Stata is considered as an ‘ideal’ and in many ways ‘adequate’ in assisting in complex statistical procedures, nowadays may be a sine qua non of data processing in creating evidences.The course aimed at enhancing the capacity of health researcher and relevant others in dealing with advanced statistical procedures using Stata, which would help them in understanding others' findings and generating evidences on their own.
Group Photo- 6th Batch
- Introduction to Stata, basics of data entry from questionnaires or another data set, managing variables through menue bar and dialogue box, methods for data cleaning and validation of data entry, useful techniques of data formatting, Checking for data consistency using Stata
- Basic anlysis such as descriptive statistics, covariance and correlation matrix, t test, ANOVA, simple linear regression, basic concepts of confounding and effect modification, dealing with confounding and effect modification in multiple regression using Stata
- Model building in epidemiological studies with continuous outcome data using Stata, model diagnostics of continuous outcome data using Stata
- Advanced analyses of categorical data with contingency table
- Concept of maximum likelihood estimation and logistic regression, multivariable logistic and log-binomial model in multivariable logistic and log-binomial model in epidemiological studies using Stata, overview of ordinal, nominal and conditional logistic regression using Stata
- Overview of analysis of counted outcome data (rates, proportions, ratios etc), Poisson and negative binomial regression for count data in epidemiological studies using Stata,
- Overview of longitudinal and clustered data, motivation for special analytical techniques to analyses longitudinal and clustered data, concepts of generalized estimating equations (GEE) for analysis of longitudinal data, concepts of multilevel analysis - random intercept and random slope models, application of GEE to analyze binary and continuous outcome data using Stata
- Basic concepts of survival analysis, survival functions using Kaplan–Meyer, regression in survival analysis; Cox Proportional Hazard (PH) model, multivariable Cox PH models, checking and dealing with violation of PH assumption, generating adjusted survival curves from regression models,
The course includes lectures, discussions, exercises, and computer sessions. Hard copies of handouts and reading materials will be provided.
The course spans over a total of 10 working days; each day (except Friday and Saturday), the sessions start at 2:30 P.M. and continue to 6:00 P.M. with a tea break for 15-30 minutes in between.
Target group and selection of participants:
Master's in biological/health sciences or social sciences or medical graduates with some exposure in biostatistics are eligible for the course. In general, participants will be selected based on their pre-requisite qualifications and first come first serve basis. However, institutional and candidates from SAARC countries will be given preference. Successful candidates will be notified by mail or over telephone.
All sessions will be facilitated by resource persons from icddr, b.
The promotional course fee is Tk. 8,000 (Eight thousand) for private candidates, Tk. 10,000 (ten thousand) for institutional and candidates from SAARC countries and US $ 300 (three hundred) for international participants to cover the cost of materials, faculty time, and evening tea/coffee whenever possible. Travel costs, accommodation, and meals are not included. The course fee is payable preferably either by electronic transfer or bank draft in favor of icddr, b; details will be provided in the acceptance letter.
For any further information please contact-
Dr. Md. Manirul Islam
Phone: 9827001-10, ext: 3509
Cell: 88-01799250640 (Mr. Shamim)
Technical Training Unit