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?