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Clinical Trial, Toss and unbiased coin
Random number generator
Table…
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- Toss and unbiased coin
- Random number generator
- Table of random numbers
Not suitable for small trials-
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Permuted block randomisation
- Permutations of 4 or 8
- every block would have equal numbers of A's and B's leading to balanced randomisation
- Individuals are randomised within the groups
simple randomisation
- Participants are randomly assigned to treatment groups using a random number generator or a randomisation table.
- Each participant has an equal chance of being assigned to any group.
- Best for large trials where the law of large numbers ensures that groups will be balanced.
- Not ideal for small trials as it may lead to imbalances in prognostic factors.
block randomisation
- Participants are divided into blocks of a fixed size, and within each block, they are randomly assigned to treatment groups.
- Ensures that the number of participants in each group is balanced at the end of each block.
- Useful for trials with small sample sizes to ensure balance between groups.
- Helps to prevent imbalances in the number of participants in each group over time.
Stratified randomisation
- Participants are stratified based on key prognostic factors (e.g., age, gender, disease severity) before randomisation.
- Within each stratum, participants are randomly assigned to treatment groups.
- Ideal for trials where certain prognostic factors are known to influence outcomes.
- Ensures that these factors are balanced across treatment groups.
Minimisation
- A dynamic method that assigns participants to treatment groups based on the characteristics of participants already assigned.
- Aims to minimise imbalances in prognostic factors across groups.
- Useful for small trials where balancing prognostic factors is critical.
- Can be more complex to implement but provides better balance than simple randomisation.
Cluster Randomisation
- Groups or clusters of participants (e.g., hospitals, schools) are randomly assigned to treatment groups rather than individual participants.
- Useful when interventions are applied at the group level.
- Ideal for trials where individual randomisation is not feasible or where interventions are delivered at the group level.
- Requires careful consideration of intra-cluster correlation.
Adaptive randomisation
- The randomisation scheme is adjusted based on interim results during the trial.
- Can be used to allocate more participants to the treatment group showing better results.
- Suitable for trials where early results can inform adjustments to the randomisation process.
- Helps to maximise the efficiency of the trial and potentially improve outcomes.
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- Randomisation
Randomisation involves randomly assigning participants to different treatment groups to ensure that each group is comparable at the start of the trial.
- To eliminate selection bias.
- To ensure that differences in outcomes can be attributed to the treatments being tested rather than other factors.
- Blinding
Blinding means keeping participants, researchers, or both unaware of which treatment participants are receiving.
Single-Blind: Only participants are unaware of their treatment allocation.
Double-Blind: Both participants and researchers are unaware of treatment allocation.
- To prevent bias in the assessment of outcomes.
- To ensure that the expectations of participants and researchers do not influence the results.
- Control groups
A control group is a group of participants that receives a standard treatment, placebo, or no treatment for comparison with the experimental group.
- To provide a benchmark against which the effects of the new treatment can be measured.
- To help determine the treatment's efficacy and safety.
- Ethical considerations
Ethical principles ensure that the rights, safety, and well-being of participants are protected
- Informed Consent: Participants must be fully informed about the trial and voluntarily agree to participate.
- Risk-Benefit Assessment: The potential benefits of the trial must outweigh the risks to participants.
- Confidentiality: Participants' data must be kept confidential and used only for the purposes of the trial.
- Sample size and power
Sample size refers to the number of participants in the trial. Power is the probability that the trial will detect a treatment effect if one exists.
- To ensure that the trial has enough participants to detect a statistically significant difference between treatment groups.
- To avoid Type I (false positive) and Type II (false negative) errors.
- Outcome measures
Outcome measures are the specific criteria used to assess the effectiveness and safety of the treatments being tested.
- Primary Outcomes: The main outcomes of interest that the trial is designed to assess.
- Secondary Outcomes: Additional outcomes that provide further information about the treatment's effects.
- Data Monitoring and Interim Analysis
Data monitoring involves regularly reviewing trial data to ensure participant safety and trial integrity. Interim analysis refers to the analysis of data at intervals before the trial is completed.
- To identify any safety concerns or significant treatment effects early.
- To make decisions about continuing, modifying, or stopping the trial based on interim results.
- Statistical analysis
Statistical analysis involves using statistical methods to interpret trial data and draw conclusions.
- To determine whether observed differences between treatment groups are statistically significant.
- To control for confounding variables and ensure the validity of the results.
- Generalisability
Generalisability refers to the extent to which the trial results can be applied to the broader population.
- To ensure that the trial findings are relevant and applicable to real-world clinical practice.
- To consider the diversity of the trial population and the settings in which the trial is conducted.
Adherence to GuidelinesAdherence to established guidelines and standards, such as Good Clinical Practice (GCP), ensures the quality and integrity of the trial.
- To maintain consistency and reliability in trial conduct.
- To ensure that the trial meets regulatory and ethical standards.
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