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Steps for Conducting Biomedical Studies |
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Assignment Assessment Analysis Interpretation Extrapolation |
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Cross-Sectional Design Strengths |
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Rapid results Low cost Little loss to follow-up Used for prevalence studies |
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start at single point int time, determines who has the disease at that point and time, ask them to recall risk factors they have had in the past |
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Cross-Sectional Design Weaknesses |
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bias from recall or volunteer temporal relationship |
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identify a group of cases, find a similar group of controls, ask them to recall their exposure in the past |
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Rapid results Low cost Little loss to follow-up Used for rare diseases |
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bais temporal relationship |
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Exposure precedes disease Relative risk can be directly assessed Exposure monitored prospectively |
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time expense loss to follow up |
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prospective sutdy design even if it is a retrospective cohort design strt with a study population and they are free of disease at the start of the design, follow them in time and record when you get the disease at some point in time |
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investigator decides who gets the exposures start with study population that is disease free or have a disease, then apply a treatment/control and follow them in time and see who develops disease in the future |
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Controlled Experiment Strengths |
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Exposure carefully controlled and monitored Used for clinical trials |
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Controlled Experiment Weaknesses |
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the subset of the general populations defined by eligibility criteria |
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Randomized Control Studies |
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The standard against which other designs must be compared All subjects are equally likely to be assigned to the intervention or control |
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Randomized Control Studies Advantages |
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Removes the potential of bias is the allocation of subjects to the intervention group or control group Randomization tends to produce comparable groups Validity of statistical tests of significance is achieved |
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Randomized Control Studies Disadvantages |
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Ethical and Emotional Reasons |
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Non-Randomized Concurrent Control Studies |
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Controls are subjects treated without the new intervention at approximately the same time as the intervention group is treated |
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Non-Randomized Concurrent Control Studies Advantages |
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Eliminates the need for investigators to convince potential study participants of the need for randomization |
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Non-Randomized Concurrent Control Studies Disadvantages |
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Intervention group and control group are not strictly comparable |
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A new intervention is used in a series of subjects; results are compared to the outcome in a previous series of comparable subjects The design is non-randomized and non-concurrent |
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Historical Controls Advantages |
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New subjects all receive the new intervention Ethically sound Time to get the required number of subjects will be shorter |
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Historical Controls Disadvantages |
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Vulnerable to bias Claimed success may be due to factors other than intervention Diagnostic criteria Change in patient management Change in patient population Difficult to establish the accuracy and completeness with which control group data were collected |
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This is a special form of a randomized control trial that has appeal to biomedical researchers The COD allows each patient to serve as his/her own control In a typical two period cross-over design, each patient will receive either intervention or control (A or B) in the first period and the alternative in the succeeding period The order in which A or B are given to the patient is randomized Approximately half of the patients receive the intervention in the sequence AB and the other half in BA |
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Cross-Over Design Advantages` |
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Definition
The COD allows assessment of whether each patient does better on A or B Since each patient is used twice, variability is reduced because the measured effect of the intervention is the difference in an individual subject’s response to intervention and control |
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Cross-Over Design Disadvantages |
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May have problems with effects of carry-over of the first intervention into the second period Statistical tests for testing the assumption of no period-treatment interaction are not well developed in terms of power |
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Patients are taken off the intervention or have the dose reduced; the objective is to assess the response to discontinuation or reduction May be validly used to evaluate the duration of benefit of an intervention which is already known to be useful |
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Withdrawal Studies Advantages |
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Useful in assessing the efficacy of an intervention that has never conclusively been shown to be beneficial |
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Withdrawal Studies Disadvantages |
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Only those patients that clinicians think will benefit will be used, this leads to overestimating the benefit and in some cases underestimating the toxicity |
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attempts to evaluate two interventions compared to control in a single experiment |
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Factorial Design Advantages |
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very useful where we need to measure interactions of two drugs actually two interventions are compared at once |
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Factorial Design Disadvantages |
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existence of interaction and its impact on the sample size the effect of intervention X differs depending upon the presence or absence of intervention Y or vice versa |
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Also called composite randomization design A clinic or community are randomized to a particular intervention or control |
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Group Allocation Design Advantages |
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Has been used where there was difficulty in approaching subjects about the idea of randomization |
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Group Allocation Design Disadvantages |
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Unit of comparison is not the individual patient, but groups |
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combine two types of designs not efficient difficult to conduct and analyze |
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