061004 study design in clinical research

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  • 7/28/2019 061004 Study Design in Clinical Research

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    Study Design in Clinical Research

    Ronald A Thisted, PhD

    Department of Health Studies

    The University of Chicago

    The employment of a method

    presupposes that in a proposed inquiry

    the use of the method is advantageous

    to the solution.

    Alfred E Cohn (1924)

    Purposes in Medical Research

    Journal of Clinical Investigation

    Components of Research

    Broad objectives

    Background and significance

    Specific aims / hypotheses

    Preliminary results

    Methods / design

    Dissemination

    Social contract / human subjects protection

    Components of Research

    Broad objectives

    Background and significance

    Specific aims / hypotheses

    Preliminary results

    Methods / design

    Dissemination

    Social contract / human subjects protection

    Methods

    A detailed

    1) plan of action,

    2) that will achieve the specific aims

    Note that there is an intimate

    connection between the aims and the

    methodsmake the connection clear!

    Research Methods and

    Journalism

    The Methods answer basic questions:

    Who?

    What?

    When?

    Where?

    Why?

    How?

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    Tying Methods to Aims

    The methods to be employed are those

    which are appropriate to illuminating the

    specific problems in question.

    Alfred E Cohn (1924)

    Purposes in Medical Research

    Journal of Clinical Investigation

    Methods and W5H

    Who will be studied?

    Who will be excluded? Why? How will they be studied?

    Observation or manipulation?

    Measurements:

    What will be measured?

    How will they be done?

    Who will take them? Why?

    When, and how often?

    Where? Why?

    How will the measurements be

    used to test the hypotheses?

    What will subjects know?

    What do different possible

    outcomes imply for hypotheses?

    What statistical methods will be

    used, and why?

    How will procedures/tests

    accomplish the specific aims?

    How many subjects will be

    studied? Why?

    What obstacles might prevent

    complete success?

    How can they be minimized?

    What might limit conclusions?

    Method vs Design

    Pharmacokinetics Absorption

    Distribution

    Elimination

    Bioequivalence

    Immunogenicity

    Dose-escalation

    Toxicity / safety

    Efficacy

    Risk

    Case-control

    Cohort

    Randomized control

    trial (RCT)

    Crossover

    Meta-analysis

    Repeated measures

    There are packages of approaches:

    Method vs Design

    Pharmacokinetics Absorption

    Distribution

    Elimination

    Bioequivalence

    Immunogenicity

    Dose-escalation

    Toxicity / safety

    Efficacy

    Risk

    Case-control

    Cohort

    Randomized control

    trial (RCT)

    Crossover

    Meta-analysis

    Repeated measures

    There are packages of approaches:

    Design = A + B + N

    Testing hypotheses

    Fundamental idea:Worthwhile research hinges on comparing A to B rigorously

    All statistical tests involve comparison

    The appropriate statistical analysis depends on the design

    The design implies how a comparison will be accomplished,

    which implies how the results can be interpreted

    The best design depends on the hypothesis being tested

    As methods are developed, aims may be refined

    And vice versa

    Investigator responsibility

    Understanding what the methodsselected can accomplish

    Understanding the limits of the method Selecting an appropriate design

    This can be done with collaborators,including biostatisticians, epidemiolo-gists, and others with specific methods.

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    Some Design Examples

    Randomized clinical trial

    Case-control study

    Prospective cohort study

    CAST Cardiac Arrhythmia Suppression Trial

    Hypotheses:

    E, F, M will reduce death from cardiac arrest

    One of E, F, or M will do this job best

    Design: Randomized, double-blind, placebo-controlled trial, juried adjudication of events, n=1727

    Advantage: fairest possible comparison of effects ofprescribing agents on outcome

    Strengths: prospective, bias-limiting

    Limitations: generalizability to broad pt pops

    Issues: compliance and intent-to-treat

    Echt, et al (1991) NEJM

    CAST Results DES and Vaginal Adenocarcinoma

    Hypothesis: A specific risk factor accounts forsudden increase in rare Ca

    Design: case-control studyof 8 cases with 32matched controls

    Advantage: well-suited to rare disease withlengthy exposure-outcome latency

    Limitations: weak bias control, retrospective

    Issues: ascertainment, no incidence info,selection

    Herbst (1971) NEJM

    Maternal Risk Factor #1

    Maternal Smoking

    Yes No

    Cases 7 1

    Controls 21 11

    p=0.50

    Maternal Risk Factor #2

    DES given this pregnancy

    Yes No

    Cases 7 1

    Controls 0 32

    p

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    Natural Hx of Prostate Ca Conservative management of localized PCa

    Hypothesis:

    Prognosis is affected by specific risk factors

    Design: Prospective cohorts, pooled data, n=828

    Advantage: allows long follow-up, broad population

    Strengths: prospective

    Limitations: bias control limited

    Issues: selection, loss to follow-up

    Chodak, et al (1994) NEJM

    Results

    Also: age