Gridlines: شبكة ذات خطوط أفقية وعمودية متساوية الأبعاد
In its day, the following table contained medical dynamite. It presented the results of a study that showed, for the first time in vivo, that certain anti-inflammatory substances, such as indomethacin or aspirin, inhibit the synthesis of prostaglandin.Shown here is only the part of the table that includes the results from the three subjects receiving indomethacin.
I converted this part into a graph to show more clearly the dramatic effect of indomethacin.Note that the curves have the same type of line because they do not need to be distinguished from each other; they are all intendedto show the same trend. The curves are bolder than the axes. Two zeros are used to label the point where the axes meet.Axes are of equal length. The label of the vertical axis is parallel to the axis and reads from bottom to top. Note also that the legend gives the message of the figure.
Start with Excel (simple graphs)& then move on to SPSS and then STATA, SAS or R
Clustered or grouped bar chart Stacked or segmented bar charts
Clear title (with the sample size)Labelled axesNo gridlinesMarital status categories are ordered by their frequency
Tufte’s principleClear title (with the sample size)Labelled axesNo gridlinesMarital status categories are ordered by their frequency
Tufte’s principleClear title (with the sample size)Labelled axesNo gridlinesMarital status categories are ordered by their frequency
The advantage of using the frequencies is that the numbers in each category on the horizontal (X) axis can be readily seen. Using the percentage scale the percentages in each category can be easily discerned. Use of the percentage scale facilitates the comparison of groups.
Tufte’s principleClear title (with the sample size)Labelled axesNo gridlinesMarital status categories are ordered by their frequency
Consider for example the vaginal breech births category, there are only 16 individuals in this category compared to 2221 in the normal delivery category and so vaginal breech births comprise < 1% of births. However this is not the impression given in this three-dimensional chart. More visually exciting than two-dimentional chart but they are less clearer and more ambiguous.Easily displayed with computer technologySeen more & more often in published reports Data have only two dimensions & a third dimension falsely introduced in such cases.Reference:Gustavii B. How to write & illustrate scientific papers.Cambridge University Press, Cambridge, UK, 2nd edition, 2008.
Space of a journal column (8 cm) Column chart should include only few items Chart on the verge of being overcrowded Problem can be overcome with the use of a bar chart (computer term for horizontally arranged bars).
Clustered or grouped bar chartGrouped bar charts to display two or more sets of proportions.
Clustered or grouped bar chart
Segmented bar charts to display three or more sets of proportions.As the number of groups to be compared increases, a grouped bar chart can quickly become very busy and obscure patterns within the data. When the number of groups to be compared becomes greater than three or four, a better type of bar chart is the segmented bar chart, where the groups are arranged on the horizontal axis and the variable being compared between the groups is arranged on the vertical axis. As the comparison of interest is between women of different ages, age should be on the horizontal axis and method of feeding on the vertical axis. From this segmented bar chart, it can easily be seen that there is a tendency for increasing breast-feeding as maternal age increases, with the exception of the oldest mothers. Note that the vertical axis has been scaled, from 0 to 100, to represent the percentage in each age group who use a particular feeding method.
Use color with caution
Difficult to read and interpretThe area displayed should be proportional to the relative frequencies for each group. However, when the charts are displayed as three dimensional this relationship is lost as what is displayed becomes a volume.Only the front face is proportional to the numbers in the categories and so only these should be displayed.In particular, categories with only a few individuals are given undue weight in three dimensional charts as the top face is much more prominent.Consider for example the vaginal breech births category, there are only 16 individuals in this category compared to 2221 in the normal delivery category and so vaginal breech births comprise < 1% of births. However this is not the impression given in the three-dimensional chart.
One of the simplest ways of displaying all the data.Each point represents a value for a single individual.Always display continuous data as dotplots if the sample size per group is low (100 subjects).
One of the simplest ways of displaying all the data.Each point represents a value for a single individual.Always display continuous data as dotplots if the sample size per group is low (100 subjects).
Stem: ساقLeaf:ورقة For example, for a height of 1.58 m, the leaf would be 8 and the stem would be 1.5Number of data points in each stem can also be displayed on the left.Simple matter to work out the median in the stem & leaf plot.In this case there are 77 observations and thus the median is the 39th value (when the data are ordered), as 38 observations lie below this point and 38 lie above. Looking at the plot, it can be seen that the 39th value occurs in stem 1.75 and the leaf value corresponding to the 39th value is 8. Thus the median for these data is a height of 1.78 m.The stem and leaf plot resembles a histogram turned over onto its side.The advantage of a stem and leaf plot over a histogram is that not only does it show the frequency in each stem but that itretains the individual values of the data.
The bars may be labelled by using the midpoint of the corresponding interval, or by having a label at the start (or end) of the interval. For histograms, we recommend that you label the horizontal axis, at the start (or end) of each interval, since with this method it is easier to work out the width of the interval. However bar charts are used for discontinuous data, where the categories are entirely separate while histograms are used for continuous data. Thus bar charts have gaps between the categories on the horizontal axis in order to emphasise that the categories are completelyseparate, whereas there are no spaces in between the bins for a histogram, as the width of these bins can be set by the investigator.A useful feature of a histogram is that it is possible to assess the distribution form of the data; in particular whether the data are approximately normally distributed, or are skewed.
The bars may be labelled by using the midpoint of the corresponding interval, or by having a label at the start (or end) of the interval. For histograms, we recommend that you label the horizontal axis, at the start (or end) of each interval, since with this method it is easier to work out the width of the interval. However bar charts are used for discontinuous data, where the categories are entirely separate while histograms are used for continuous data. Thus bar charts have gaps between the categories on the horizontal axis in order to emphasise that the categories are completelyseparate, whereas there are no spaces in between the bins for a histogram, as the width of these bins can be set by the investigator.A useful feature of a histogram is that it is possible to assess the distribution form of the data; in particular whether the data are approximately normally distributed, or are skewed.
The use of health-related quality of life (HRQoL) measures is becoming more frequent in clinical trials and health services research, both as primary and secondary outcomes. It is typically assessed by a self-completed questionnaire which asks a series of standardised questions about various aspects or facets of a person’s HRQoL. The Medical Outcomes Study 36-Item Short Form (SF-36) is the most commonly used HRQoL measure in the world today. It contains 36 questions measuring health across eight dimensions: physical functioning (PF); role limitation because of physical health (RP); social functioning (SF); vitality (VT); bodily pain (BP); mental health (MH); role limitation because of emotional problems (RE) and general health (GH). These eight dimensions are usually regarded as a continuous outcome and are scored on a 0–100 scale, where 100 indicates ‘good health’.
Keep the intervals in histogram (bin width) equal
Secular:قرني – حادث مرة كل قرن
So which scale should be chosen? There is no perfect answer to this question. All present the same information, and none strictly speaking are incorrect.In this case, if I were presenting this chart without reference to any other graphics, the scale would be the first because it shows the true floor for the data (0%, which is the lowest possible value) and includes a reasonable range above the highest data point.
In the right-hand graph you will probably not miss the data points, as you can easily discern the change of line direction wherethe points have been omitted. This graph may be the more attractive of the two. Data points are probably overused in scientific papers.
The use of health-related quality of life (HRQoL) measures is becoming more frequent in clinical trials and health services research, both as primary and secondary outcomes. It is typically assessed by a self-completed questionnaire which asks a series of standardised questions about various aspects or facets of a person’s HRQoL. The Medical Outcomes Study 36-Item Short Form (SF-36) is the most commonly used HRQoL measure in the world today. It contains 36 questions measuring health across eight dimensions: physical functioning (PF); role limitation because of physical health (RP); social functioning (SF); vitality (VT); bodily pain (BP); mental health (MH); role limitation because of emotional problems (RE) and general health (GH). These eight dimensions are usually regarded as a continuous outcome and are scored on a 0–100 scale, where 100 indicates ‘good health’.
In North America, an increase in the number of cases with TB has been observed since the mid-1980s mainly attributable to immigration, human immunodeficiency virus and the development of multidrug-resistant strains of TB.
Transcript
1.
How to display your data?
Samir Haffar M.D.
Assistant Professor of Gastroenterology
2.
Who might benefit?
• Researchers who want to display results of
their studies for publication in a journal
• Readers of research literature who wish to do a
critical appraisal of a piece of work
• People who have to deliver a presentation
3.
Freeman JV, Walters SJ, Campbell MJ. How to display data.
Blackwell Publishing, Massachusetts, USA, 1st edition, 2008.
The best advice that a statistician can give a
researcher is to first plot the data
Conventional statistics textbooks give only brief
details on how to draw figures & display data
4.
Types of data
Qualitative
(Categorical)
Quantitative
(Numerical)
Ordinal
Ordered
Rate pain
None
Mild
Moderate
Severe
Continuous
Range of values
No gap
Blood glucose
BP (mmHg)
Counted
Certain values
Gaps
Days stick/year
Petrie A & Sabin C. Medical statistics at a glance.
Blackwell Publishing, Massachusetts, USA, 2nd edition , 2005.
Dichotomous
Only 2 values
Present/absent
Alive/dead
Nominal
Unordered
Blood type
A
B
AB
O
5.
How to present your data?
Numbers
Tables
Graphs
7.
Presenting numbers -1
• Numbers expressed in numerals rather than in words
• Decimal sign is a point preceded by 0 [ 0.3 not 0,3) ]
• Use space to mark off thousands [ 12 345 not 12,345 ]
• Remove surplus zeros: 1.6 x 109 bacteria/ml
• Never use billion: 109 in USA & 1012 in Europe
• Use only one slash to express quotients of units: km/h
Use negative exponents if >2 [ mg.kg-1.h-1 not mg/kg/h ]
8.
Presentation of numbers - 2
Report total no of observations
• Qualitative data
Use both frequencies & percentages
• Quantitative data
Normal distribution Mean & SD (one decimal place)
Skewed distribution Median & IQR*
* IQR: Interquartile range
Freeman JV et all. How to display data. Blackwell Publishing, Massachusetts, 2008.
9.
Use of percentages
Total number Percentages & decimals
< 25 Percentages should not be used
Gustavii B. How to write & illustrate scientific papers.
Cambridge University Press, Cambridge, UK, 2nd edition, 2008.
25 – 100 Percentages without decimals [ 7% not 7.2% ]
100 – 100 000 Only one decimal added [ 7.2% not 7.23% ]
> 100 000 Two decimals added [ 7.23% not 7.235% ]
10.
Normal distribution
Sometimes known as Gaussian distribution
Harris M Taylor G. Medical statistics made easy.
Martin Dunitz, 1st edition, London, 2003.
Classic „bell‟ shape
Peak in the middle (mean)
Symmetrical tails Mean = median = mode
Mean Sum of values/number of observations
Median Number of observations above = number below
Mode Most frequently occurring value
11.
Standard normal distribution
Chernick MR & Friis RH. Introductory biostatistics for the health sciences.
John Wiley & Sons, New Jersey, USA, 1st edition, 2003
One decimal
place
12.
P < 0.05
Value of test statistic P < 0.05
Perera R, Heneghan C & Badenoch D. Statistics toolkit.
Blackwell Publishing & BMJ Books, Oxford, 1st edition, 2008.
Reject the null hypothesis
Results significant at the 5% level
13.
Skewness
Perera R, Heneghan C & Badenoch D. Statistics toolkit.
Blackwell Publishing & BMJ Books, Oxford, 1st edition, 2008.
Peak at lower values
Long tail of higher values
Peak at higher values
Long tail of lower values
14.
Skewed data distribution
Peat JK & all. Health science research: a handbook of quantitative methods.
Allen & Unwin, Rows Nest, Australia, 1st edition, 2001.
The mean is an over-estimate of the median value
Mean ≠ median ≠ mode
15.
Anatomy of a box-whisker plot
Morgan GA et all. Understanding & evaluating research in applied & clinical settings.
Lawrence Erlbaum Associates, New Jersey, USA, 2006.
Especially good to show differences between groups
16.
Box-Whisker Plot
Urinary lead concentration in urban & rural children
Swinscow TDV & Campbell MJ. Statistics at square one.
BMJ Books, London, 10th edition, 2002.
17.
Central tendency & dispersion
• Central tendency
Mean Sum of values/number of observations
Median Number of observations above = number below
Mode Most frequently occurring value
• Dispersion
Range From lowest to highest value
SD Average difference of values from mean
Quartile % of observations falling between specif values
Fletcher R et all. Clinical epidemiology.
Williams & Wilkins, Baltimore, USA, 3rd edition, 1996.
18.
Fletcher R et all. Clinical epidemiology.
Williams & Wilkins, Baltimore, USA, 3rd edition, 1996.
Central tendency & dispersion
Distribution of PSA in presumably normal men
19.
Bimodal distribution
Data have 2 peaks
There may be two different populations
Each with its own central tendency
Perera R, Heneghan C & Badenoch D. Statistics toolkit.
Blackwell Publishing & BMJ Books, Oxford, 1st edition, 2008.
20.
Uniform distribution
Number of peaks
All possible values are equally likely
Central tendency measure not useful
Perera R, Heneghan C & Badenoch D. Statistics toolkit.
Blackwell Publishing & BMJ Books, Oxford, 1st edition, 2008.
22.
• Tufte‟s principle
• Clear title with sample size
• Solid lines kept to minimum particularly vertical ones
• Columns and rows clearly labeled
• Rows & columns ordered by size if no natural ordering
Recommendations to present data in tables – 1
23.
• Numbers rounded to 2 effective digits
• Qualitative data Frequency & percentage
• Quantitative data Symmetrically Mean & SD
Skewed Median & IQR*
* IQR: Interquartile range
Freeman JV, Walters SJ, Campbell MJ. How to display data.
Blackwell Publishing, Massachusetts, USA, 1st edition, 2008.
Recommendations to present data in tables – 2
24.
Tufte’s principle for table & graph
Maximum amount of information for
minimum amount of ink
Tufte ER. The visual display of quantitative information.
Cheshire, Connecticut: Graphics Press; 1983
25.
Marital status Frequency Percent
Married 104 46.0
Widowed 86 38.1
Single 25 11.1
Divorced/separated 11 4.9
Total 226 100.0
Marital status of 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
Title
Headings
Body
Source
4 x 2 contingency table
4 rows x 2 columns = 8 cells
26.
Marital status Frequency Percent
Divorced/separated 11 4.9
Married 104 46.0
Single 25 11.1
Widowed 86 38.1
Total 226 100.0
Marital status of 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
Ordered alphabetically
Hard to interpret
27.
Marital status Frequency Percent
Married 104 46.0
Widowed 86 38.1
Single 25 11.1
Divorced/separated 11 4.9
Total 226 100.0
Marital status of 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
Much easier to interpret
Ordered by size
29.
Table or graph?
Choice between using a table or a figure not easy
Nor is it easy to offer much general guidance
Altman D & Bland M. Presentation of numerical data. BMJ 1996 ; 312 : 572.
30.
Table or graph?
Graph Table
Better in presentations Better in papers
Freeman JV, Walters SJ, Campbell MJ. How to display data.
Blackwell Publishing, Massachusetts, USA, 1st edition, 2008.
Can only show summaries Can often show all the data
Show only a few variables Better for multiple variables
Trend better illustrated Trend badly illustrated
31.
Table or graph?
Trend badly illustrated with a table
Urinary prostaglandin metabolite (mg/24 h)
Subject Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7
I 4.8 4.8 1.8* 1.1* 1.5* 2 .7 4.1
II 3.9 4.4 0.7* 0.7* 0.7* 3.1 6.5
III 3.8 3.0 0.5* 0.3* 0.3* 0.8 1.1
Subject taking indomethacin 4 x 50 mg/24 h
Hamberg 1972
Urinary excretion of PG metabolite after indomethacin administration
32.
Hamberg 1972
Urinary excretion of a prostaglandin metabolite decreased
following indomethacin administration in three humans
Table or graph?
Trend better illustrated with a graph
33.
Why use of graphs in presentation?
• You need to get your audience‟s attention
• Many people respond better to visual cues
than to straight text or lists of numbers
• Effective graph can help drive home your point
34.
Software for graphs
• No single package can draw all graphs to display data
• Simple graphs can be drawn in Microsoft Excel
• More complex graphs
Major statistical packages: SPSS, STATA, SAS
S-Plus for superimposing several graphs into single figure
• Packages change regularly
35.
Types of graph
• Bar/column graph & variants
• Pie graph
• Dot plot
• Stem & leaf plot
• Histogram
• Box-whisker plot
• Line graph
• Spider or radar plot
• Pictogram
• Venn diagram
36.
Types of data
• Qualitative (categorical)
Dichotomous Only 2 values
Nominal Unordered
Ordinal Ordered
• Quantitative (numerical)
Counted Gaps
Continuous No gaps
37.
Displaying qualitative data
• Bar/column graph
• Grouped column graph
• Segmented column graph
• Pie graph
38.
Recommendations for construction of graph
• Tufte‟s principle
• Clear title with sample size
• Labeled axes
• Gridlines kept to a minimum
• Categories ordered by size
• No three-dimensional graphs
39.
Tufte’s golden rule
Tufte ER. The visual display of quantitative information.
Cheshire, Connecticut: Graphics Press; 1983.
Maximum amount of information for
minimum amount of ink
40.
Column chart
Marital status for 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
Columns wider than spaces between them
Bars have gray tone which is more pleasing to the eye
Vertical axis doesn’t extend beyond what the graph demands
41.
BMJ 1998 ; 316 : 1487 – 91.
Column chart
Marital status for 226 patients in leg ulcer study
Only the height of columns presents the data of interest
42.
Column chart
Marital status for 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
Tufte‟s principle
43.
Column chart
Marital status for 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
Clear title with sample size
44.
Column chart
Marital status for 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
Labeled axes
45.
Column chart
Marital status for 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
No gridlines
46.
Column chart
Marital status for 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
Categories ordered by size
47.
Column chart
Marital status for 226 patients in leg ulcer study
BMJ 1998 ; 316 : 1487 – 91.
No three-dimensional graph
48.
Schott B. Schott’s almanac. London: Bloomsbury; 2006.
The most populous country, Germany, can be readily seen
It’s not obvious for France, Italy, & UK which has largest population
Bar chart ordered alphabetically
Population for 20 European countries in 2004
49.
Bar chart ordered by size
Population for 20 European countries in 2004
It is clear now how each country relates to others for population size
Schott B. Schott’s almanac. London: Bloomsbury; 2006.
50.
BMJ 2002 ; 324 : 643 – 6.
Three-dimensional column charts
Self-reported type of delivery for all new mothers (N: 3 321)
Data have only two dimensions
A third dimension is falsely introduced
51.
Two-dimensional column charts
Self-reported type of delivery for all new mothers (N: 3 321)
BMJ 2002 ; 324 : 643 – 6.
52.
Two-dimensional column charts
Self-reported type of delivery for all new mothers (N: 3 321)
2 separate texts nearly
run into each other
Space of a journal column (8 cm)
Chart on the verge of being overcrowded
Problem overcome with use of bar (horizontal) chart
BMJ 2002 ; 324 : 643 – 6.
53.
Bar chart
Annual alcohol consumption per inhabitant in Europe
Gustavii B. How to write & illustrate scientific papers.
Cambridge University Press, Cambridge, UK, 2nd edition, 2008.
54.
BMJ 2002 ; 324 : 643 – 6.
Two-dimensional column charts
Self-reported type of delivery for all new mothers (N: 3 321)
55.
BMJ 2002 ; 324 : 643 – 6.
Two-dimensional column charts
Self-reported type of delivery for all new mothers (N: 3 321)
56.
BMJ 2002 ; 324 : 643 – 6.
Grouped column graph
Self-reported type of delivery for all new mothers (N: 3 321)
57.
Grouped column graph
Probability of dying in ICU after admission with AMI
Gustavii B. How to write & illustrate scientific papers.
Cambridge University Press, Cambridge, UK, 2nd edition, 2008.
2 – 3 categories in each group should be the maximum
Remove the keys
58.
Gustavii B. How to write & illustrate scientific papers.
Cambridge University Press, Cambridge, UK, 2nd edition, 2008.
Grouped bar chart
Probability of dying in ICU after admission with AMI
Remove the keys
One way to remove the keys is to label first group directly
59.
Segmented column charts
Feeding method by maternal age for all women
BMJ 2002 ; 324 : 643 – 6.
60.
Pie chart
Appropriate usage in a magazine article
Large segment begins at 12 o‟clock
Proceed in clockwise direction
Ordered by size
No of observations & percentages
Number of segments ≤ 5
Color employed with caution
Freeman JV, Walters SJ, Campbell MJ. How to display data.
Blackwell Publishing, Massachusetts, USA, 1st edition, 2008.
61.
Pie chart
Self-reported type of delivery for all new mothers (N: 3 321)
62.
Pie chart
Self-reported type of delivery for all new mothers (N: 3 321)
63.
Three-dimensional pie charts
Self-reported type of delivery for all new mothers (N: 3 321)
64.
Pie charts
Pull out the slice you want to highlight
65.
“The only worse design than a pie
chart is several of them”
Tufte ER. The visual display of quantitative information.
Cheshire, Connecticut: Graphics Press; 1983
66.
Types of data
• Qualitative (categorical)
Dichotomous Only 2 values
Nominal Unordered
Ordinal Ordered
• Quantitative (numerical)
Counted Gaps
Continuous No gaps
67.
Display quantitative data
• Counted (gaps) Bar chart
• Continuous (no gaps) Dot plot
Stem & leaf plot
Histograms
Box-whisker plot
68.
Dot plot
BAO in normal subjects & PU patients
Blair AJ et al. J Clin Invest 1987 ; 79 : 582.
Use dot plot if sample size per group is low (<100)
Each point represents a value for a single individual
Horizontal lines indicate mean values
Mean values
69.
Dot plot
BAO & PAO in normal subjects & PU patients
Blair AJ et al. J Clin Invest 1987 ; 79 : 582.
Substantial overlap in values among individuals in the groups
70.
Stem and leaf plot
Height of male in leg ulcer patients (n: 77)
Each data is divided into 2 parts: leaf (last digit) & stem (other part)
Separate line for each different stem value
Stem on left of plot & leaves on right
Frequency Stem Leaf
1 1.55- 7
3 1.60- 333
4 1.65- 5588
18 1.70- 000000333333333333
24 1.75- 555558888888888888888888
15 1.80- 000000003333333
10 1.85- 5555888888
1 1.90- 13
Median
71.
Histogram
Serum albumin in 481 white men aged over 20
BMJ 1999 ; 318 : 1667.
No gaps between columns (continuous data)
Keep same width of each group (bin width)
Columns labeled by using midpoint, or better start or end of interval
72.
Histogram – Normal distribution
Serum albumin in 481 white men aged over 20
BMJ 1999 ; 318 : 1667.
Mean: 46.14 g/l – SD: 3.08 g/l
73.
Histogram – Positively skewed data
Baseline ulcer area from the leg ulcer trial (n: 233)
BMJ 1998 ; 316 : 1487 – 91.
Peak at lower values & a long tail of higher values
74.
Histogram – Negatively skewed data
Baseline social functioning in leg ulcer trial (n: 233)
BMJ 1998 ; 316 : 1487 – 91.
Long left tail of lower values & peak at higher values
75.
Number of categories in a histogram
No hard & fast rules about appropriate number
• Too few Much important information lost
• Too many Patterns obscured by too much detail
• Usually 5 – 15 categories will be enough
76.
Number of categories in a histogram
Height for leg ulcer patients (n 233)
Too few
(6 categories)
Freeman JV et all. How to display data. Blackwell Publishing, MA, USA, 2008.
Too many
(22 categories)
Good
(9 categories)
77.
Box-and-whiskers plots
Gonick L & Smith W. The cartoon guide to statistics.
HarperCollins Publishers, New York, USA, 1st edition, 1993
Especially good to show differences between groups
78.
Box-whisker plot
Freeman JV et all. How to display data. Blackwell Publishing, Massachusetts, 2008.
As there are many variations, you have
to explain details of the plot
79.
Box-and-whiskers plots
Liver stiffness for each Metavir stage in CHC
Vertical axis is in logarithmic scale (wide range of F4 values)
Gastroenterology 2005 ; 28 : 343 – 350.
80.
Line graph
TB mortality in England &Wales
Farmer R Lawrenson R. Lecture Notes: Epidemiology & public health medicine.
Blackwell Publishing, Oxford, 5th edition, 2004
81.
Line graph – Arithmetic scale
TB mortality in England &Wales
Farmer R Lawrenson R. Lecture Notes: Epidemiology & public health medicine.
Blackwell Publishing, Oxford, 5th edition, 2004
Mortality seems hardly affected by the events
They played little part in mortality decline
82.
Introduction of BCG vaccine &
chemotherapy was associated with
acceleration in established decline
in mortality
Farmer R, Lawrenson R. Lecture Notes: Epidemiology & public health medicine.
Blackwell Publishing, Oxford, 5th edition, 2004
Line graph – Logarithmetic scale
TB mortality in England &Wales
83.
It is frequently necessary to examine secular
trends both as changes in rates (arithmetic scale)
and as rates of change (logarithmic scale) if the
nature of a trend is to be fully appreciated
Farmer R Lawrenson R. Lecture Notes: Epidemiology & public health medicine.
Blackwell Publishing, Oxford, 5th edition, 2004
84.
Line chart
Obesity among adults from 1990 – 2002 (US-CDC)
Boslaugh S & Watters PA. Statistics in a nutshell.
O’Reilly Media, California, USA, 1st edition, 2008.
85.
Smaller range for y-axis increases visual impact of the trend
Line chart
Obesity among adults from 1990 – 2002 (US-CDC)
Boslaugh S & Watters PA. Statistics in a nutshell.
O’Reilly Media, California, USA, 1st edition, 2008.
86.
Line chart
Obesity among adults from 1990 – 2002 (US-CDC)
Wider range for the y-axis decreases visual impact of the trend
Boslaugh S & Watters PA. Statistics in a nutshell.
O’Reilly Media, California, USA, 1st edition, 2008.
87.
Which scale should be chosen?
• No perfect answer to this question
All present the same information
None strictly speaking are incorrect
• In this case, the scale would be the first
It shows true floor for data (0%, lowest possible value)
It includes reasonable range above highest data point
Boslaugh S & Watters PA. Statistics in a nutshell.
O’Reilly Media, California, USA, 1st edition, 2008.
88.
Line chart
Obesity among adults from 1990 – 2002 (US-CDC)
Boslaugh S & Watters PA. Statistics in a nutshell.
O’Reilly Media, California, USA, 1st edition, 2008.
89.
Line graph
Effect of tyramine solution on pupillary size
Gustavii B. How to write & illustrate scientific papers.
Cambridge University Press, Cambridge, UK, 2nd edition, 2008.
90.
Line graph
Effect of tyramine solution on pupillary size
Two common defects:
1- Curves distinguished both by:
- Type of line
- Type of data-point symbol
2- Curves identified by separate key
Reader scan back & forth to the
key to see what they represent
Gustavii B. How to write & illustrate scientific papers.
Cambridge University Press, Cambridge, UK, 2nd edition, 2008.
91.
Redrawn line graphs
Type of data-point symbol
Labeled directly
Type of line
Labeled directly
Gustavii B. How to write & illustrate scientific papers.
Cambridge University Press, Cambridge, UK, 2nd edition, 2008.
92.
Line graph
HP seroprevalence in USA in function of age & race
Making trend lines thick for easy visibility
Maximum: 3 – 4 lines
Gastroenterology 1992 ; 103 : 813.
93.
Characteristics of some graphs
Good for showing separate
unrelated pieces of data
Bar/column graph
Good for showing
Percentages
Pie graph
Good for showing how
data changes over time
Line graph
94.
Spider or radar plot
Acupuncture vs usual care in persistent non-specific back pain
BMJ 2006 ; 333 : 623 – 6.
HRQol assessed over 12 months by SF-36
SF-36 dimensions scored on a 0 (poor) to 100 (good) health scale
95.
Pictogram
Estimated annual incidence of TB in 2006
Global tuberculosis control: surveillance, planning, financing
WHO report 2008
96.
Venn diagram
Any number of overlapping circles in theory
When > 3 – 4 circles, the diagram becomes rather cluttered
97.
The 3 components of EBM
“EBM is the integration of best research evidence
with clinical expertise & patient values”
- David Sackett
EBM
Best research
evidence
Clinical
Expertise
Patient
Concerns
98.
Perera R et al. Statistics Toolkit. Blackwell Publishing, MA, USA, 1st edition, 2008
Types of data
Qualitative - Quantitative
Essentials you
need to get started
Null hypothesis
& alternative hypothesis
H0 & H1
What type of test? Choose the right type of test
Is it significant? Compute the value of the statistic
& compare with the critical value
Software tools
Start with Excel (simple graphs)
& then move on to SPSS
& then STATA, SAS or R
Place of graphs in your study
99.
Useful questions to ask when considering
how to display your data
• What do you want to show?
Type of data – Normal or skewed distribution
• What methods are available for this?
Table – Graph – Type of graph
• Is the method chosen the best?
Would another have been better?
Freeman JV et al. How to display data. Blackwell Publishing, MA, USA, 1st edition, 2008.
Be the first to comment