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Analysis of Medical Data Research Perspective

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Title: Analysis of Medical Data Research Perspective


1
Analysis of Medical DataResearch Perspective
  • Nancy B. Clark. M.Ed.
  • Director of Medical Informatics Education
  • FSU College of Medicine
  • Spring 2004

http//www.med.fsu.edu/informatics
2
Objectives
  • Review statistical concepts to be on Step 1.
  • Determine what data exist relative to a clinical
    question or formal hypothesis
  • use IT to locate existing data sources
  • identify and locate existing data sets
  • Within institution
  • Outside institution
  • Analyze, interpret and report findings
  • Select and use appropriate computer software
    Excel, SPSS
  • Use software to perform simple statistical
    analysis and portray results graphically
  • Interpret reports

3
Prerequisite Skills (Step 1 USMLE)
  • Fundamental concepts of measurement
  • Scales of measurement
  • Distribution, central tendency, variability,
    probability
  • Disease prevalence and incidence
  • Disease outcomes (eg, fatality rates)
  • Associations (correlation or covariance)
  • Health impact (eg, risk differences and ratios)
  • Sensitivity, specificity, predictive values

4
More Prerequisite Skills (Step 1 USMLE)
  • Fundamental concepts of hypothesis testing and
    statistical inference
  • Confidence intervals
  • Statistical significance and type I error
  • Statistical power and type II error  

5
More Step 1 Topics
  • Fundamental concepts of study design
  • Types of experimental studies (eg, clinical
    trials, community intervention trials)
  • Types of observational studies (eg, cohort,
    case-control, cross-sectional, case series,
    community surveys)
  • Sampling and sample size
  • Subject selection and exposure allocation (eg,
    randomization, stratification, self- -
    selection, systematic assignment)
  • Outcome assessment
  • Internal and external validity

6
Scales of Measure
  • Nominal qualitative classification of equal
    value gender, race, color, city
  • Ordinal - qualitative classification which can
    be rank ordered socioeconomic status of
    families
  • Interval - Numerical or quantitative data can
    be rank ordered and sizes compared temperature
  • Ratio - interval data with absolute zero value
    time or space

7
Distribution, Central Tendency
Mean
8
Variability, Probability
  • Mean
  • Median
  • Mode
  • Standard deviation
  • Statistical Significance p lt .01

9
Confidence Interval
10
Statistical SignificanceType I and Type II
errors
Null Hypothesis Ho
11
Statistics Online Textbook
  • The Statistics Homepage
  • http//www.statsoftinc.com/textbook/stathome.html

12
Disease Prevalence and Incidence
  • Prevalence
  • probability of disease in entire population at
    any point in time
  • 2 of the population has diabetes
  • Incidence
  • probability that patient without disease develops
    disease during interval
  • 0.2 or 2 per 1000 new cases per year

13
Sensitivity, Specificity
  • sensitivity a / (ac)
  • specificity d / (bd)

14
Predictive Value
  • Positive predictive value a / ( ab)
  • Negative predictive value d / (cd)
  • Post-test probability of disease given positive
    test a / (ab)
  • Post-test probability of disease given negative
    test c / (cd)

15
Good Resource Sen, Spc, PV
  • An Introduction to Information Mastery
  • http//www.poems.msu.edu/InfoMastery/default.htm
  • Diagnosis
  • Sensitivity and specificity
  • Predictive values
  • Likelihood ratios
  • InfoRetriever
  • Calculators Epidemiology, Diagnostic test

16
Fundamental Concepts of Study Design
  • Good Resource
  • Epidemiology for the Uninitiated
  • BMJ
  • Online Textbook
  • http//bmj.com/collections/epidem/epid.shtml

17
Finding Health Statistics
18
Types of Health Statistics Questions
  • Fact lookups
  • Research
  • Presentations
  • Social and Policy indicators

19
Strategies for Finding Health Stats
  • Use Portal
  • Start at Internet site
  • Start with book or article

20
Internet Portals of Health Stats
  • Lists of links that provide starting points for
    browsing or searching
  • Keyword search in portal vs Google
  • General idea what you want
  • The Related Health Services Research Web Sites
    http//www.nlm.nih.gov/nichsr/hsrsites.html
  • The NCHS portal http//www.cdc.gov/nchs/

21
Other Statistical Web Sites
  • CDC Data and Statistics http//www.cdc.gov/scienti
    fic.htm
  • FedStats Home Page http//www.fedstats.gov/
  • Compare these two
  • U Michigans Statistical Resources on the WEB
    HEALTH
  • What type of stats

22
Lexis-Nexis Statistical Universe
  • Subscription resource
  • Searches stat data
  • Subject List
  • Limit search
  • Reports or tables
  • http//web.lexis-nexis.com/statuniv?B1Connectto
    StatisticalUniverse

23
MMWR
  • Morbidity illness
  • Mortality death
  • http//www.cdc.gov/mmwr/
  • Disease Trends
  • Tables - searchable

24
Health Care Data
  • Healthcare Cost and Utilization Project
  • HCUPnet
  • Hospital discharges
  • Ambulatory service
  • Costs
  • Amount of care
  • By diagnosis and procedure
  • Surveys of hosp, physicians, nursing homes

25
Health Consequences
  • Costs to society, individuals
  • Cost from care
  • Costs of illness
  • Impact on infrastructure
  • HCFAgtCMS Health Accounts
  • http//www.cms.hhs.gov/statistics/nhe/default.asp

26
State and International Data
  • Floridahealthstat.com - Where Florida Health Data
    Resides
  • DOH Epidemiology
  • KFF State Health Facts Online
  • United Nations Statistics Division
  • World Health Organization Research Tools

27
Individual Datasets
  • EMR
  • Billing
  • CDCS
  • Customized data collection tools

28
Data Analysis
29
Selecting the Appropriate Software
  • Spreadsheet
  • Numerical (interval or ratio) data
  • Sums
  • Averages
  • Standard deviations
  • Simple charts and graphs
  • Statistical Software
  • Nominal or Ordinal data
  • Comparisons of two groups
  • Frequency tables
  • Complicated charts and graphs
  • Normal curves
  • Class intervals
  • Statistical significance

30
Spreadsheets
  • Excel
  • Pocket Excel

31
Data Tables
  • Field names at top
  • Each row is a record (sample)
  • Sorting whole table
  • By one column
  • By more than one column
  • Sorting individual sections

32
Descriptive Statistics
  • Distribution
  • frequency distribution
  • Histogram
  • Central tendency
  • Mean
  • Median
  • mode
  • Dispersion
  • Range
  • Standard deviation
  • Variance
  • N
  • Not P (inferential stats)

33
Central Tendency
  • Mean
  • AVERAGE(b2b1500)
  • Median
  • MEDIAN(A2A7)
  • Mode
  • MODE(A2A7)
  • N
  • COUNT(A2A1500)
  • COUNTBLANK(A2B5)

34
Dispersion
  • Range
  • MAX(A2A60)- MIN(A2A60)
  • Standard deviation
  • STDEV(A2A110)
  • Variance
  • VAR(A2A110)

35
Distribution
  • Frequency distribution
  • Not easy use SPSS
  • FREQUENCY(data_array,bins_array)
  • Use help
  • Histogram
  • Bar chart of frequency table

36
Hands on experience
  • Analyze data in examples2.xls

37
Statistical SoftwareIntro to SPSS
38
Statistical Software
  • SPSS
  • Provided by request/justification
  • Lab Computers
  • Start gt Programs gt SPSS for Windows gt SPSS
    11.0 for Windows

39
Start Screen
  • Dont show this dialog in the future.
  • OK

40
Open Breast Cancer Survival
Data View
41
Views
Variables View
42
File Information
  • Utilities Menu
  • File Info
  • Output window

43
Descriptive Statistics
  • Analyze Menu
  • Descriptive Statistics
  • Frequencies
  • Select Age ?
  • Click Statistics button
  • In Central Tendency
  • Mean, Median, Mode
  • In Dispersion
  • Standard Deviation, variance
  • In Percentile Values
  • Quartiles
  • Continue
  • OK

44
Graphing
  • Graphs Menu
  • Pie
  • Summary for Groups of cases
  • Lymph Nodes ?
  • OK

45
Histogram with Normal Curve
  • Graphs Menu
  • Histogram..
  • Select Age ?
  • Check Display Normal Curve
  • OK

46
Simple Correlation Analysis
  • Age and Tumor Size
  • Analyze Menu
  • Correlate
  • Bivariate
  • Select Age ?
  • Select Pathological Tumor Size ?
  • Check Pearson and Spearman Two tailed
  • OK
  • Is there a correlation? Negative or Positive?
  • Is it statistically significant?

47
Save Output
  • Save on All Users drive
  • Under Nancy.clark
  • SPSS Output Files
  • Name it your name ie, KerryBachista.spo

48
Importing Data
  • From Excel, SAS, dBase, etc.
  • Variable names first row
  • File Menu, Open
  • Data
  • Files of Type
  • Excel
  • Tutorial, Samples
  • Demo.exe
  • Type in Labels
  • Pick Type of variable
  • Enter Value Labels
  • Etc.

49
SPSS Tutorials
  • In the Help Menu
  • On Informatics Web page
  • Books
  • Statistics for Social Health Research (Sage)
  • Argyrous, George
  • Statistics Applied to Clinical Trials (Klawer
    Academic Publishers)
  • Cleophas, Ton J., et al

50
Objectives
  • Determine what data exist relative to a clinical
    question or formal hypothesis
  • use IT to locate existing data sources
  • identify and locate existing data sets
  • Within institution
  • Outside institution
  • Analyze, interpret and report findings
  • Select appropriate computer software Excel, SPSS
  • Use software to perform simple statistical
    analysis and portray results graphically
  • Interpret reports

51
Questions?
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