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Jan 31, 2024 1.76k likes •2.04k views

Statistics services for RHDs Nargess Saiepour Biostatistician School of Public Health n.Saiepour@uq.edu.au what is statistics & why do we need it? Both a science and a part of the methodology for all sciences Science of collecting,

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Statistics services for RHDs

Nargess Saiepour Biostatistician School of Public Health

n.Saiepour@uq.edu.au

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what is statistics & why do we need it?

Both a science and a part of the methodology for all sciences

  • Science of collecting, analysing, presenting and interpreting

data

  • Objective evaluation of research questions of interest
  • Weigh up how much evidence the collected data provide for

and against the research hypothesis of interest

  • Important role in medical research
  • Easy to use but difficult to use correctly
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Stages of the research process:

– Planning:

  • Study design
  • Sample size calculation

– Data collection

  • Data management/ setting up a database

– Data analysis Most common time to seek help – Dissemination

  • Thesis submission
  • Publication process
  • Responding to reviewer comments

Another common time to seek help

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Ronald Fisher: "To consult a statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of."

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Statistical help?

  • Who?

All medical researchers

  • When?

At the beginning At the beginning At the beginning

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The possible consequences of not

  • btaining early help
  • Waste of all resources:

Sample size is too small to yield reliable results

  • Waste of some resources:

Sample size that is larger than necessary to generate an acceptable level of accuracy

  • Telling a lie:

Three kind of lies: Lies, damned lies, and statistics (Benjamin Disraeli).

  • Causing a disaster:

Challenger disaster: January 28, 1986

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Challenger disaster: January 28, 1986

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Exploded

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Available statistical supports at SPH

  • Courses
  • Short coursed/ workshops
  • Consultancy
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Courses

  • Data Management and Statistical Computing (STAT7603)

(Semester 1 & 2 - External)

  • Introduction to Biostatistics (PUBH7630)

(semester 1 & 2)

  • Practical Regression Analyses (PUBH7631)

(semester 2)

  • Advanced Biostatistics & Epidemiology (PUBH7632)

(Summer course – Nov to Dec 2016)

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Course description

  • 2016 full course list of postgraduate courses:

https://public-health.uq.edu.au/filething/get/2280/full-postgraduate- course-list.pdf

  • (STAT7603):

https://www.uq.edu.au/study/course.html?course_code=STAT7603

  • (PUBH7630):

http://www.uq.edu.au/study/course.html?course_code=PUBH7630

  • (PUBH7631):

http://www.uq.edu.au/study/course.html?course_code=PUBH7631

  • (PUBH7632):

http://www.uq.edu.au/study/course.html?course_code=PUBH7632

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Short courses

Short courses:

  • STATA (Robert Ware) and
  • R and R studio (Peter Baker)
  • SPSS (Nargess Saiepour) yet to be announced

Information on Statistical software packages (UCLA) SAS, STATA, SPSS and R/R studio & R commander The link: http://www.ats.ucla.edu/stat/

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How to contact our consultants

An initial consultation and statistical advice

Fill in the appropriate “Request for Statistics Support” form available on SOM website (Research Support) Steps:

  • Download the statistics support application form

http://www.som.uq.edu.au/research/school-of-medicine- research/research-office/research-support.aspx

  • Return the completed form to: research.office@som.uq.edu.au

If unsure of your eligibility email the research office

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Statistical information on UCLA webpage

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Statistics support

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What do we need to know about your study?

  • Background
  • Status
  • Aims/objectives/hypotheses
  • How much help needed?
  • What help needed?
  • When is it needed by?
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Things to consider

  • Deadlines: “I need to present next week”
  • Overcomplicated studies: small sample size, too many

variables

  • Timing of advice: coming at design stage having easier

analysis stage

  • Me too publication: copy a method used in another

published paper

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  • Messy data: searching for variables in the data set
  • Hand (2010): “90% of data analysis is data cleaning”
  • Unclear/vague projects:

– Vague idea of research aims – Unclear about definitions of variables/ exactly which variables to analyse

  • Identifiable information: Sending data with names
  • f participants
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Help Help us to h us to help you elp you

Th Thanks anks