I have a dream...
It is my long-time dream to help to build excellent researchers in Bangladesh.
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Over the last 10 years, I’ve learned much about what it takes to become a world-class researcher from scratch and conduct high-impact research. I gained research knowledge and skills from world-class institutions like Oxford, Karolinska Institute, and others. I want to share what I've learned with other Bangladeshi students.
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I am also passionate about teaching. I am consistently updating myself on how to make complex things understandable in simpler language.
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In 2022 I developed a training programme called the "Research Skill Academy" with a life-long mission to help others learn research skills and make difference in their lives and the wider community.
Course Structure
30+ hours live lecture
Ten live 3-hour lectures each Friday from 7 PM to 10 PM Bangladesh time.
10+ hours live tutorials
Ten live 1-hour tutorial sessions each Sunday from 7 PM to 8 PM Bangladesh time.
10+ hours recorded instruction videos
Participants get access to exclusive recorded videos on how to use Stata for data management and analysis.
Who's the Course For?
Course Curriculum
During the 10 weeks, we’ll have a combination of live zoom lessons, open live Q&As, and discussions to help supercharge your research journey while connecting with other research enthusiasts from Bangladesh on the same path.
Literature review
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Literature search on databases like PubMed, EMBASE, and Google Scholar
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Using Boolean operators and keywords.
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Understanding different citation styles.
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Using citation manager (Mendeley or EndNote)
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Understanding systematic review and meta-analysis.
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Writing literature review.
Study designs
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Observational study designs: cross-sectional study, case-control study and cohort study.
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Experimental study designs: randomised controlled trial, community trial.
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Evaluation of a public health programme or intervention.
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Understanding strengths and limitations of each study design.
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Deciding what study design to choose for a specific research question.
Designing a survey
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Different sampling techniques: probability vs. non-probability sampling.
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Sample size calculation for various study designs and sampling.
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Understanding power calculation and effect size.
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Developing and pilot testing questionnaire.
Designing a clinical study
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How to design a patient-centric clinical study.
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Evidence-based medicine.
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Clinical trials or vaccine trials.
Epidemiological rates
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Prevalence vs. incidence.
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Odds ratio, relative risk, hazard ratio, attributable risk, population attributable risk.
Confounders & mediators
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Learning the concepts
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Understanding the differences
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How to control them in a study
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Residual confounding
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Reverse causation
Basic statistical concepts
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Types of data
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Normal distribution and central limit theorem
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Hypothesis testing
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Statistical inference: p-value, confidence intervals
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Type I and II errors
Summarising data
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Measures of central tendency.
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Measures of dispersion.
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Learning about different plots and how to make them.
Statistical tests
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Parametric tests: T-test, Chi-square test, ANOVA etc.
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Non-parametric tests
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Correlation tests
Regressions
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Linear regression
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Logistic regression
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Simple vs. multiple regression
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How to develop a regression model
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Understanding and interpreting results from regression models
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Understanding the assumptions for different regression models
Presenting and interpreting statistical results
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Interpretation of measures of association (odds ratio, relative risk, hazard ratio, attributable risk, population attributable risk etc).
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How to make scientific tables and figures.
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How to interpret p-values and confidence intervals.
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Using reporting guidelines.
Learning Stata
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Learning about the software.
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Data management: recoding variables, creating new variables, missing values etc.
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Merging and appending datasets.
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Conducting different statistical analysis.
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Performing regression analysis.
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How to make plots.
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How to write and save codes of your project.
Research ethics
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Informed consent
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Application for ethics approval
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Data issues: accuracy, privacy, confidentiality.
