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Putting Together a Research Proposal

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... rich environment and a good mentor. Take advantage of opportunities. A ... Identify a mentor/advisor. Work together to build a team as your project progresses ... – PowerPoint PPT presentation

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Title: Putting Together a Research Proposal


1
Putting Together a Research Proposal
  • Tate Erlinger, MD, MPH
  • Director of Clinical Research
  • Office of Research Administration
  • Seton Family of Hospitals

2
Part I Starting Out
3
Establish the Rationale
  • A rationale for the choice of topic,
  • Why is it important or useful within the concerns
    of the discipline in which you are writing?
  •  
  • It is also sensible to indicate the limitations
    of your aims.  In other words, don't promise what
    you can't possibly deliver.

4
Know the Literature in the Field
  • A review of existing published work ("the
    literature") that relates to a topic. 
  • Tell how your proposed work will build on
    existing studies and yet explore new territory.

5
Outline your Approach
  • An outline of your intended approach or
    methodology (with comparisons to existing
    published work), perhaps including costs,
    resources needed, and a timeline of when you hope
    to get things done

6
Part II Setting up a Specific Project
7
Where does clinical research start?
  • Location
  • Location
  • Location
  • Find a rich environment and a good mentor
  • Take advantage of opportunities

8
A Research Project
QUESTION
9
Steps to Starting a Project?
  • Why do you want to do a project?
  • What is your question?
  • Who should you ask for help?
  • How might you approach the problem?
  • Where is the study taking place?
  • What is your time frame? (when?)

10
Why do you want to do a project?
  • Interest in a topic
  • Bolster your resume
  • Exploring career paths
  • Mandatory
  • Other

11
Assemble a group
  • Clinical Research is a group processnot an
    individual endeavor
  • Identify a mentor/advisor
  • Work together to build a team as your project
    progresses

12
What is the question?
  • The MOST important part of the process
  • How do you choose a question?
  • How do you phrase the question?
  • How does the question change as you start to look
    at what is feasible vs. what is optimal?

13
Choosing a Research Question
  • Think of an area you are interested in and start
    READING
  • Reviews
  • Meta-analyses
  • Editorials
  • What are the conflicts in the field?
  • What do experts say are the Gaps in knowledge?

14
Drafting a Question
  • The aim of this study is to..
  • Determine the association between X and Y
  • Determine the impact of intervention X on
    outcomes 1, 2 and 3.
  • Etc.
  • Be very specific
  • Clearly articulate all the outcomes,
    interventions or variables of interest

15
After the Question
  • Go back to the literature
  • Good recent reviews
  • Good recent meta-analyses
  • Create a data table

16
Revisit the Question
  • After reviewing the literature more thoroughly
    has your question changed or been modified?
  • Nokeep going
  • Yesfine, collect a little more information

17
How, When, Where
  • Once the question is posed, think about the How,
    When, Where
  • In reality, youve been considering this all along

18
Summary
  • The question is the hardest and most important
    thing to define.
  • Be specific
  • Dont be afraid to refine
  • Assemble a team, starting with an advisor
  • Take the time to learn your field and gather data
  • Have fun!

19
Setting up
  • Decide on study design
  • Cross-sectional (single point or period in time)
  • Descriptive
  • Exploratory associations
  • Case-control
  • Retrospective
  • prospective
  • Incident vs. prevalent cases
  • Selection of cases / controls
  • Prospective
  • Random sample
  • Convenience sample
  • Duration of follow-up
  • Measurement of exposures (multiple) / outcomes
    (multiple)

20
How large should the study be?
  • Sample size / power calculations
  • Underpowered studies are only useful for
    feasibility
  • ALL studies should have an estimate of
    statistical power
  • Use data from prior studies or pilot studies
  • Various Methods used to calculate power or sample
    sizedepends on study design and analytic
    techniques being used.

21
Collecting Data
  • How will data be collected?
  • Paper form (standardized)
  • Spreadsheet
  • Other?
  • Who will collect the data?
  • When will data be collected?
  • What type of data will you collect?

22
What type of data?
  • EXAMPLE chart review
  • Create data collection tool
  • Avoid free text difficult to analyze
  • Multiple choice (or pre-defined choice)
    preferable
  • Pilot the data collection tool first
  • What were the problems?
  • What was missed?
  • Was there something that needs further
    clarification?
  • Did you capture the data you were really after
    (valid)?

23
Data Storage
  • Must transfer data from paper to electronic if
    not already done.
  • Avoid multiple data manipulations if possible,
    e.g. transfersbetter to start with electronic.
  • Keep tight version control of data sets and
    ownership of data.
  • Keep data secure, locked, on protected computer
    and/or locked drawer

24
Data Analysis
  • Seek help if needed.
  • Cleaned data set will be easiest to work with
  • Analyze data according to Pre-defined plan
  • DO NOT go fishing
  • Multiple comparisons problems
  • Spurious results

25
Sections of the Proposal
  • Title
  • Investigators
  • Abstract
  • Specific Aims
  • Background and Significance
  • Experimental Design and Methods
  • Preliminary Results (if applicable)

26
Title
  • Type the entire protocol title. This title
    should match the one on the Request for Expedited
    Review and Request for Full Board Review Forms.

27
Investigators
  • List the investigators as Principal Investigator,
    Co-Investigator, Collaborators, Coordinators,
    etc.

28
Abstract
  • Include the hypothesis being tested, summary of
    the study aims and procedures, experimental
    design, and the significance of the research in
    laypersons language.

29
Specific Aims
  • Clearly state the hypotheses to be tested and the
    objectives or specific aims. Numbers and types
    of subjects and types of procedures should be
    specifically noted

30
Background and Significance
  • Concise
  • Demonstrate a knowledge of the field
  • Cite relevant papers in the field

31
Background and Significance
  • Provide details of clinical study design.
  • Include an in-depth narrative of the methodology
    to be employed.
  • Provide details of Statistical Considerations.
  • This section must include a justification of the
    sample size and a statement regarding power based
    on one or more of the primary outcome measures,
    presumably ones for which there is some
    information about intra-individual variation

32
Preliminary Results
  • Be concise.
  • If there are none, please state.

33
References
  • NIH guidelines for preparing a proposal at
    http//www.niaid.nih.gov/ncn/grants/write/index.ht
    m
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