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Reporting Statistical Methodology Apr 1-05
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Transcript of Reporting Statistical Methodology Apr 1-05
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REPORTING STATISTICALMETHODOLOGY AND
ANALYSIS IN MEDICAL RESEARCH
INAS ELATTAR
Professor of Biostatistics
National Cancer Institute
Cairo University
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INTRODUCTION
1. Provide the audience with a concise reference
on what should be reported.
2. Advice about important aspects of statistical
design, analysis, and presentation.
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MATERIALS AND METHODS
The method section should include everything
relating to the study design, subjects and
statistical methods used
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Type of study: Depends on the purpose of the
study and the research question to be
answered
Important for understanding the conclusion
that can be drawn from the study
Clearly describe the design of the study
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Give numbers of observations
Sample size needed should be stated: useful to
include a justification for the number of subjects
studied
Basic observational units should be determined
Proper method of analysis depends on the basicobservational units. The analysis of correlated
observations raises difficult statistical analysis
issues
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Discuss eligibility of experimental
subjects
Reasons for and methods of selecting patients
Some studies have eligibility criteria, eg: exclusion of
patients outside a specified age range, those previously
treated, and those too ill to answer questions, etc Two major goals for reporting detailed ways of selection:
1) can be repeated by other investigators, 2) provides
readers with a solid link between patients studied and
population
Eligibility constraints can introduce a sizable bias when
results are generalized to the population
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Give details about randomization
Randomization enhances generalization of
results and avoids biases
Not sufficient to state that: subjects were
randomly selected, random often means
haphazard
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Describe the methods for, and success
of, any blinding of observations
In studies involving comparisons between twotreatments, the most effective way to reduce bias on the
part of both patient and physician is blinding
Blinding is the hiding of certain information from patientsand physicians
Because blinding can be applied in many different ways,researchers should state exactly who was blinded towhat
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Report treatment complications
Nearly every medical treatment carries some
risk of complications, side effects
If no adverse effects can be found, the report
should say so and explain what was done to find
them
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Report losses to observation (dropouts
from a clinical trial)
Patients lost to follow-up, including losses or exclusions
for noncompliance
These patients might be different from the others with
respect to factors that might affect the results
Efforts to trace them should attempted
Reasons for losses should be reported in details
When sample size in the text, table or graph differs from
the original sample size, the difference should be
explained
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Describe the statistical methods with
enough details to enable a
knowledgeable reader with access to
the original data to verify the reportedresults
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Use of statistics in medicine can be
summarized as follows:
1) Statistics used to answer questions concerning
differences,
2) Statistics used to answer questions concerningassociations,
3) Statistics used to answer questions concerning
predictions
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Researchers should always have a cleardefinition of their goal. The researchers have
to choose between different measure andtechniques:
1) Mean or median?
2) Normal or nonparametricdistribution
3) Adjustments, matching or stratifications
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Choice of statistical method depends on the
question raised and type of data collected
Search for results that are significant, this
leads to conclusions that may not hold if study isrepeated, this called Fishing expedition
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Authors should always report the statistical
methods used
Authors should report positives and negatives oftheir study design
Most statistical techniques depend on someassumptions, authors should indicate that theseassumptions have been checked
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References for study design and
statistical methods should be standardworks when possible rather than
papers where designs or methods were
originally reported
In statistics, an original paper is usually verytechnical and it can be of great help to
methodologists
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Specify any general use computer
programs used
Computer programs are sometimes found tohave errors.
Readers might wish to know about the program
used for their own use
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RESULTS
The results section entails a detailed
presentation of the analyses carried out and the
outcome of the statistical analysis used to
answer the research question
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Put general descriptions of statistical
methods in the methods section.When data are summarized in the
Results section,specify the statistical
methods used to analyze them
Whenever more than one procedure is used,
specify the statistical methods applied in the
Results Section
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Clearly specify the units of data
Units should always be specified in text, tables,
and figures. Is time months or years? Is
quantities kilograms or grams ? Are rates per
10,000 or100,000?
Careful reporting of units prevents
misunderstanding of the results
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When possible, quantify findings and
present them with appropriateindicators of error or uncertainty
Authors should use the most appropriate
measure that describes precisely their data,
such as means and standard deviations as wellas confidence intervals
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Reporting test of significance (p-values) only,
should be avoided
Use standard deviation rather than standarderror of mean. There are two reasons for this
recommendations: 1)standard error is a function
of sample size, 2)standard error pertains to
groups, not individuals
Exact P values should be reported
Specify two-tail or one tail tests
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Avoid sole reliance on statistical
hypothesis testing such as the use of P
values which fails to convey important
quantitative information
Report both point estimates (means,proportions,or differences between means) and
condifence intervals
Confidence intervals provide information on the
magnitude of the effect and how estimates
would vary in other samples
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Restrict tables and figures to those needed to
explain the argument of the paper and to assessits support.
Use graphs as an alternative to tables with many
entries; do not duplicate data in graphs and
tables
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Avoid nontechnical uses of technical terms in
statistics, such as random (which impliesrandomized device), normal, significant,correlation, and sample
Normal refers to some kind of probabilitydistribution, should not be confused withmeaning of normal patient, that is free of disease
Significant refers to the result of a formal
statistical test of significance Correlation is a technical word which refers toa specific method to measure association
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Define statistical terms, abbreviations, andmost symbols
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DISCUSSION
Clearly point out drawbacks of the study
Do not overemphasize the value of P values.
Test statistics depends on the sample size
Clearly identify tests of hypotheses generated
from the research question of the study and
those defined after initiation of the study
Hypotheses generated after beginning of the
study are exploratory. Should be used to answer
future research questions
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CONCLUSIONS
Purpose of statistical methods is to provide astraightforward factual account of the scientific
evidence derived from research
To design suitable studies and carry outsensible statistical analyses is of utmost
importance for the assessment of results
Communication of findings in a clear and
objective manner is as crucial as design and
analyses
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Reading the Literature
Checklist
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Reading the Abstract
Is the topic of the study important and worth knowingabout?
What is the purpose of the study? Is the focus on adifference or a relationship? The purpose should beclearly stated; one should not have to guess.
What is the main outcome from the study: Does theoutcome describe something measured on a numericalscale of something counted on a categorical scale? Theoutcome should be clearly stated
Is the population of patients relevant to your practice
can you use these results in the care of your patients?The population in the study affects whether or not theresults can generalized.
If statistically significant, do the results have clinicalsignificance as well?
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Reading the Introduction
If the article does not contain an abstract, the introduction
section should include all of the above information plus
the following information
What research has already been done on this topic and
what outcomes were reported? The study should add
new information
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Reading the Methods
Is the appropriate study design used (clinical trial, cohort,case-control, cross-sectional, meta-analysis)?
Does the study cover an adequate period of time? Is the
follow-up period long enough?
Are the criteria for inclusion and exclusion of subjects
clear? How do these criteria limit the applicability of the
conclusions? The criteria also affect whether or not the
results can be generalized. Are standard measures used? Is a reference to any
unusual measurement/procedure given if needed? Are
the measures reliable/replicable?
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Reading the Methods (cont)
What other outcomes (or dependent variables) and riskfactors (or independent variables) are in the study? Are
they clearly defined?
Are statistical methods outlined? Are they appropriate?(The first question is easy to check; the second may be
more difficult to answer.)
Is there a statement about power the number of
patients that are needed to find the desired outcome? A
statement about sample size is essential in a negative
study
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Reading the Methods (cont)
Clinical trial
How are the subjects recruited? Are the subjects randomly assigned for the study
groups? If not:
o How are patients selected for the study to avoid selection bias?
o If historical controls are used, are methods and criteria the same
for the experimental group; are cases and controls compared onprognostic factors?
Is there a control group? If so, is it a good one?
Are appropriate therapies included?
Is the study blind? Double-blind? If not, should it be? How is compliance assured/evaluated?
If some cases are censored, is a survival method such
as Kaplan-Meier or the Cox model used?
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Reading the Methods (cont)
Cohort study
How are the subjects recruited?
Are the subjects randomly selected from an eligible
pool?
How rigorously are subjects followed? How many
dropouts does the study have and who are they?
Are appropriate therapies included?
If some cases are censored, is a survival method such
as Kaplan-Meier or the Cox model used?
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Reading the Methods (cont)
Case-control study
Are the subjects randomly selected from an eligible
pool?
Is the control group a good one (bias-free)?
Are records reviewed independently by more than one
person (thereby increasing the reliability of data)?
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Reading the Methods (cont)
Cross-sectional (survey, epidemiologic)
study
Are the questions unbiased?
Are the subjects randomly selected from an eligible
pool?
What is the response rate?
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Reading the Methods (cont)
Meta-analysis
How is the literature search conducted?
Are the criteria for inclusion and exclusionof studies clearly stated?
Is an effort made to reduce publicationbias (because negative studies are lesslikely to be published)?
Is there information on how many studiesare needed to change the conclusion?
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Reading the Results
Do the reported findings answer the research
questions?
Are actual values reported means, standard
deviations, proportions so that the magnitudeof differences can be judged by the reader?
Are many P values reported, thus increasing the
chance that some findings are bogus?
Are groups similar on baseline measures? If not,
how did investigators deal with these differences
(confounding factors)?
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Reading the Results (cont)
Are the graphs and tables, and their legends easy to
read and understand?
If the topic is a diagnostic procedure, is information on
both sensitivity and specificity (false positive rate) given?
If predictive values are given, is the dependence on
prevalence emphasized?
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Reading the Conclusion and Discussion
Are the research questions adequately discussed?
Are the conclusions justified? Do the authors extrapolate
more than they should, for example, beyond the length
of time subjects were studied or to populations not
included in the study?
Are the conclusions of the study discussed in the context
of other relevant research?
Are limitations of the research addressed?