Introduction

A sound knowledge about how to conduct a research is of essence for further study and most careers today; whether it is in health, business, social sciences, sports or projects or completing studies at University. Although different disciplines may differ in the particular methods they emphasize, their broad approach to research inquiry is similar. The goal is to familiarize participants with the essential steps and elements of the research approach and make them capable to use STATA and be confident in writing manuscript for peer-reviewed journals.

Objectives of the course

After successful completion, the participants should be able to:

• Apply research perspectives

• Identify research problems and formulate hypotheses for testing

• Choose appropriate research designs and sampling

• Analyze data using STATA

• Write scientific manuscripts and reports for publishing in peer-reviewed journals

Key Areas

• How to conduct research

• How to use STATA for data analysis

• How to write a scientific manuscript for publishing in scientific journal

Course Structure

There will be 3 hours sessions (theory plus practical) every Friday and Saturday (12-14 class) which starts at 5:30 pm and ends around 8:30 pm throughout the course. However, extended hours may be required to complete the course. We also develop e-learning process (theory and practical). So, everyone can use the technology to enable anywhere and anytime.

Course Contents

Conducting Health Research

• Basic concepts in research

• Research process

• Designing a study

• Sampling and sample design

• Data collection- Tools and techniques

Using stata for Data Analysis

• Introduction to statistics and stata: Overview of STATA Console, Data entry, enter categorical and continuous data, imputing raw data files, exporting data files, Variable and Data Type, Types of Stata files, Do file, Log file.
• Data management and formatting with stata: Labeling data, variables and values, creating and recoding variables, generating variables and observations, combining data files, Examining the Data, Modifying Datasets, Renaming and reordering variables, dropping and replacing variables.
• Graphical presentation of data with stata: Creating and describing basic and advanced statistical graphs & charts, Bar diagram, Component Bar Diagram, Stacked Bar Diagram, Pie Chart, Line diagram, Histogram, Scatter Diagram, Box & Whisker plot.
• Exploratory data analysis with stata: Summary Statistics, Frequency distribution, One way table, Two-way tables (Cross table), Descriptive Statistics, Measures of Central tendency, Measures of Dispersion, Measures of Distribution (Skewness & Kurtosis).
• Hypothesis Testing with stata: Statistical hypothesis, Null hypothesis, Alternative hypothesis, Simple hypothesis, Composite hypothesis, One-tailed test, Two-tailed test, Test statistic, p-value, One sample t-test, Two-sample t-test, Independent sample t-test, Chi-square test, Fishers exact test, Analysis of Variance (ANOVA).
• Correlation analysis with stata: Correlation analysis, Pearson’s Correlation Coefficient, Spearmen Correlation Coefficient.
• Statistical modeling with stata: Regression analysis, Regression Coefficient, Coefficient of Determination, Simple linear regression analysis, Diagnosis with models, Autocorrelation, Multicollinearity, Heteroskedasticity, Multiple Regression Analysis.
• Logistic regression & Survival Models with stata: Binary Logistic Regression Analysis, Kaplan-Meier Survivor Functions, Cox Proportional Hazard Models

Scientific Manuscript Writing

• Basics of manuscript writing

• Target journals for publications

• Authorship and Ethical issues

Target Participants

• All graduates from medical/biological/health/social sciences interested in doing research.

• All postgraduate medical and public health students engaged in research and thesis/dissertation preparation.

• Mid-level and even experienced researchers who are interested to refresh and update their knowledge and skills can also attend this course.

Learning Methods

The course includes lectures, discussions, exercises and problem-shootings. In addition, participants will present research proposals in groups at the last day of the training.

Facilitators

Scientists, Statisticians, Researchers from Reknowned institute including Johns Hopkins University and Expert from outside.

Course fee

The course fee is Taka Fifteen Thousand (15000) only. 

How to Pay?

The preferred method of payment is Online using Credit or Debit Card or Mobile Banking (e.g. BKash, DBBL, MCash, MY Cash). However, participants can also make payment directly to Technical Training Unit at icddr,b.

Selection and Admission of participants

In general, participants are selected based on their pre-requisite qualifications and first come first serve basis. However, female participants will get preference.  Only selected participants will be notified by email or SMS or over telephone. The admission of the selected participant will be confirmed only when the fee is received.

Certification

After successful completion of the course each participant will receive a certificate.