MedDots_Academy_Course_Content

1. 86-90 Paul Street, London,
EC2A 4NE, United Kingdom
+44-077-78230677
info@meddots.co.uk
www.meddots.co.uk
MedDots Academy
Course Content
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2. 86-90 Paul Street, London,
EC2A 4NE, United Kingdom
+44-077-78230677
info@meddots.co.uk
www.meddots.co.uk
Name: Course 01: Quantitative and qualitative study designs
Modules:
Module A Module B Module C Module D
Sessions How to formulate a
research question
Study Designs in Epidemiology Clinical Trials Design Qualitative Study Designs
Duration 1 session x 3 hours 2 session x 3 hours 2 sessions x 3 hours 1 session x 3 hours
Targeted
audience
All course learners to adopt skills in conducting primary research.
Content/
Objective
• How to create a good
research question?6m
• What is the research
question?
• FINER Criteria
• PICOs
• Introduction to
Epidemiological Study
Designs
• Cross-Sectional Studies
• Case-Control Studies
• Measures of Association in
Case-control Studies6m
• Calculating Odds Ratios.
• Cohort Studies and Nested
Studies
• Calculating Relative Risks
• Types of Trial Designs
(Parallel, Crossover,
Factorial, cluster)
• Rationale for
Randomization
• Masking
• Outcomes: Definitions,
Types, Influence on Design)
• Analysis plan
• Basic Approaches to Qualitative
Research
• Qualitative Methods.
• Developing Research Questions
& Specific Aims.
• Methods, Population, Sampling,
& Recruitment.
Learning
Outcomes
• Be able to formulate
a good research
question.
• Compare and contrast
different epidemiological
study designs in order to
describe their strengths and
weaknesses.
• Be able to interpret and
apply different frequency
and effect measures.
• Be able to recognize errors
and deal with bias and
confounding.
• Be familiar with
terminology used in clinical
trials and the several
common designs used for
clinical trials.
• To be familiar with
mechanics of clinical trials,
like randomization and
blinding of treatment.
• How clinical trials are
analysed and interpreted.
• Understand the qualitative
research project to respond to
specific public health
problems/questions.
• Be familiar with strategies and
instruments for qualitative
data collection linked to study
objectives and appropriate for
the population of interest.

3. 86-90 Paul Street, London,
EC2A 4NE, United Kingdom
+44-077-78230677
info@meddots.co.uk
www.meddots.co.uk
Name: Course 02: Understanding Statistics for Clinical Research
Modules:
Module A Module B Module C Module D
Sessions Introduction to
quantitative analysis
Hypothesis testing Uni and multivariate data
analysis and interpretation
Survival analysis
interpretation/Sample size
Duration 1 session x 3 hours 1 session x 3 hours 2 sessions x 3 hours 1 session x 3 hours
Software None None Jamovi Jamovi
Targeted
audience
Beginners who wish to gain sufficient knowledge to read
quantitative reports/journal articles.
Learners who wish to adopt common inferential statistics in analysing
primary and secondary data.
Content/
Objective
• Types of data
variables
• Data Entry
• Descriptive statistics
• Normally distributed
data
• Introduction to
inferential statistics.
• Introduction to Hypothesis
Testing
• Testing assumptions: Null
and alternative hypothesis
• Type I and II: Hypothesis
testing errors
• P-value
• Confidence levels
• How to choose the right
statistical test.
• t-Test for 2 independent
samples
• Mann Whitney Test t-Test
for 2 related samples
• Wilcoxon Signed Ranks Test
• One-way ANOVA
• Kruskal Wallis test
• Chi-square test
• Pearson (r) correlation
• Spearman Rho (rs)
correlation
• Introduction to regression
• Survival Analysis
• The KM plot and Log-rank test.
• Cox proportional hazards
regression modelling.
• Power and Sample Size

4. 86-90 Paul Street, London,
EC2A 4NE, United Kingdom
+44-077-78230677
info@meddots.co.uk
www.meddots.co.uk
Learning
Outcomes
• Defend the critical
role of statistics in
modern public health
research and
practice.
• Describe a data set
from scratch,
including data item
features and data
quality issues, using
descriptive statistics
and graphical
methods.
• Look at hypotheses and
how they relate to ethical
and unbiased research and
reporting.
• Proper interpretation of
confidence interval.
• Interpret the output of
analysis and appraise the
role of chance and bias.
• Select and apply
appropriate methods to
formulate and examine
statistical associations
between variables within a
data set in Jamovi.
• Interpret the output of the
analysis and appraise the
role of chance and bias.
• Run and Interpret Kaplan-Meier
plots and Cox regression in
Jamovi.
• Describe and compare some
common ways to choose a
multiple regression model.

5. 86-90 Paul Street, London,
EC2A 4NE, United Kingdom
+44-077-78230677
info@meddots.co.uk
www.meddots.co.uk
Name: Course 03: Systematic Review and Meta-analysis
Modules:
Module A Module B Module C Module D
Sessions Framing your research
question and mapping the
literature
Conducting your review and
appraise your evidence
Meta-analysis: Part A Meta-analysis: Part B
Duration 2 session x 3 hours 2 session x 3 hours 2 sessions x 3 hours 2 session x 3 hours
Software --- --- RevMan, R? RevMan, R?
Targeted
audience
All course learners to adopt skills in conducting systematic review and meta-analysis.
Content/
Objective
• Introduction to
systematic reviews
• Framing your
question using the
PICO
• Develop your ideas
for your systematic
reviews.
• Protocol
development
• Inclusion and
exclusion criteria
• Principles of
searching/electronic
databases and grey
literature
• Developing a search
strategy.
• Documenting your
search
• Screening and
documentation
• Data extraction, collection
and management
• Risk of bias assessment
• GRADE evidence
• PRISMA Checklist
• Introduction to Forest and
funnel plots
• Data analysis using RevMan
• Publication bias
• Introduction to Forest and
funnel plots
• Data analysis using RevMan
• Publication bias

6. 86-90 Paul Street, London,
EC2A 4NE, United Kingdom
+44-077-78230677
info@meddots.co.uk
www.meddots.co.uk
Learning
Outcomes
• identify the key
stages of the
systematic review
process
• define a review
question and
understand how to
develop a review
protocol
• describe methods for
identifying sources of
evidence for
systematic reviews
• develop a search
strategy to identify
relevant studies for a
specific review
question and
understand how to
conduct a literature
search
• be aware of
contemporary
methods and
technologies for
reference and review
management
• apply inclusion
criteria to identify
relevant studies
• undertake risk of bias
assessment of primary
evidence using appropriate,
contemporary methods
• develop a data extraction
form and extract relevant
outcomes from reported
studies
• select appropriate methods
of evidence synthesis and
be able to describe and
summarise key results
• be familiar with statistical
methods for analysis of
quantitative data
• explore the use of meta-
analysis in data synthesis
using computer software
(RevMan)
• understand potential
sources of heterogeneity
between included studies.
• be familiar with statistical
methods for analysis of
quantitative data
• explore the use of meta-
analysis in data synthesis using
computer software (RevMan)
• understand potential sources of
heterogeneity between
included studies.

7. 86-90 Paul Street, London,
EC2A 4NE, United Kingdom
+44-077-78230677
info@meddots.co.uk
www.meddots.co.uk
Name: Course 04: Principles of Medical Writing
Modules:
Module A Module B Module C Module D
Sessions Academic writing Publication Process Citations Manager Writing beyond research
manuscripts
Duration 1 session x 3 hours 1 session x 3 hours 1 session x 2 hours 1 session x 2 hours
Targeted audience Clinical researchers who wish to gain sufficient knowledge and skills to write a proper scientific paper.
Content/Objective • Overview of key principles of
effective writing
• Most effective writing
structure and communication
approach.
• Manuscript components and
structure of each component
• How to write each manuscript
component
• Present data, tables and
figures
• Bibliography
• Good publication practice.
• Plagiarism.
• ICMJE Authorship criteria.
• The Submission Process.
• Peer review process.
• Selecting journals.
• Predatory journals.
• Practical workshop for
the most common
citation tools.
• Grant writing.
• Writing letters of
recommendation.
• Writing personal
statements.
Learning Outcomes • Recognize that writing is a
skill that you learn through
practice.
• Describe the steps in the
writing process.
• Understand how to write the
sections of an original
scientific manuscript.
• Identify and avoid
plagiarism.
• Understand the peer
review process.
• Understand criteria for
authorship.
• Recognize predatory
journals.
• Using common citation
managers to insert
bibliography within a
manuscript.
• Become familiar with the
grant-writing process.
• Understand how to write a
strong letter of
recommendation.
• Understand how to write a
strong personal essay.

8. 86-90 Paul Street, London,
EC2A 4NE, United Kingdom
+44-077-78230677
info@meddots.co.uk
www.meddots.co.uk
Name: Course 05: Research Integrity
Modules:
Module A Module B
Sessions Research Integrity: Part A Research Integrity: Part B
Duration 1 session x 2 hours 1 session x 2 hours
Targeted audience Essential training for any clinical researchers
Content/Objective • Introduction to Research Ethics
• Good research conduct
• Irresponsible research practices
• Scholarly publication
• Professional responsibilities
• Communication, social responsibility and
impact
Learning Outcomes • Provide individuals with an understanding of the ethical and regulatory aspects of human subjects research.
• Recognize what constitutes good research conduct.
• Recognize what constitutes irresponsible research practices.