Difference between revisions of "Experimental design: Recommendations"
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Give advice on experimental design to the user '''in person''' (recommended) and as '''written guidance'''. | Give advice on experimental design to the user '''in person''' (recommended) and as '''written guidance'''. | ||
| − | The users should receive training how to design the experiment properly. (Online training can be also found at NIH, Johns Hopkins University, Harvard University or at the Center for Open Science). | + | The users should receive training how to design the experiment properly. (Online training can be also found at NIH [https://www.orf.od.nih.gov/TechnicalResources/Pages/Training.aspx] [https://hr.nih.gov/training-center] [https://orip.nih.gov/workshop-efficient-management-and-utilization-core-facilities], Johns Hopkins University [https://www.coursera.org/jhu] [https://ocw.jhsph.edu/], Harvard University [https://cores.fas.harvard.edu/on-demand] [https://online-learning.harvard.edu/catalog] [https://www.edx.org/school/harvardx] or at the Center for Open Science [https://www.cos.io/services/training] [https://osf.io/wnfmc/wiki/Open%20Science%20Training%20Resources/] [https://osf.io/7gqsi/] [https://www.fosteropenscience.eu/toolkit]). |
The CF/PI/specialist should [[Quality checkpoints: Recommendations|'''check''']] the experimental design before proceeding further to ensure the results will be meaningful and to avoid a waste of money and resources. Many CFs find it important of being involved in the project from the very beginning. Study design flaws are a key source of irreproducibility [https://pubmed.ncbi.nlm.nih.gov/27225100/]. | The CF/PI/specialist should [[Quality checkpoints: Recommendations|'''check''']] the experimental design before proceeding further to ensure the results will be meaningful and to avoid a waste of money and resources. Many CFs find it important of being involved in the project from the very beginning. Study design flaws are a key source of irreproducibility [https://pubmed.ncbi.nlm.nih.gov/27225100/]. | ||
Encourage the users to develop and adhere to a rigorous study plan before starting experiments, including the following recommendations: | Encourage the users to develop and adhere to a rigorous study plan before starting experiments, including the following recommendations: | ||
| − | * Hypothesis is defined before starting experiment | + | * [https://eqipd-toolbox.paasp.net/wiki/2.1.4_Purpose_of_research Hypothesis] is defined before starting experiment |
* Methods are appropriate | * Methods are appropriate | ||
| − | * | + | * Experimental conditions are defined |
| − | * | + | * [https://eqipd-toolbox.paasp.net/wiki/2.1.6_Sample_size_and_power_analysis Samples size] is defined |
| − | * Relevant controls included | + | * Relevant controls are included |
| − | * | + | * Experiment is replicated |
| − | * | + | * Samples are [https://eqipd-toolbox.paasp.net/wiki/2.1.8_Randomisation randomized] and [https://eqipd-toolbox.paasp.net/wiki/2.1.7_Blinding blinded] |
| − | * Data inclusion/exclusion criteria are pre-defined | + | * [https://eqipd-toolbox.paasp.net/wiki/2.1.9_Inclusion_and_exclusion_criteria Data inclusion/exclusion criteria] are pre-defined |
| − | * Data analysis and statistical analysis of results are pre-defined | + | * [https://eqipd-toolbox.paasp.net/wiki/2.3.2_Primary_analysis_and_evaluation_of_raw_data Data analysis] and [https://eqipd-toolbox.paasp.net/wiki/2.3.3_Statistical_analysis statistical analysis] of the results are pre-defined. |
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| + | [[Start_here|Go back to menu]] | ||
Latest revision as of 13:01, 24 March 2021
Give advice on experimental design to the user in person (recommended) and as written guidance. The users should receive training how to design the experiment properly. (Online training can be also found at NIH [1] [2] [3], Johns Hopkins University [4] [5], Harvard University [6] [7] [8] or at the Center for Open Science [9] [10] [11] [12]).
The CF/PI/specialist should check the experimental design before proceeding further to ensure the results will be meaningful and to avoid a waste of money and resources. Many CFs find it important of being involved in the project from the very beginning. Study design flaws are a key source of irreproducibility [13].
Encourage the users to develop and adhere to a rigorous study plan before starting experiments, including the following recommendations:
- Hypothesis is defined before starting experiment
- Methods are appropriate
- Experimental conditions are defined
- Samples size is defined
- Relevant controls are included
- Experiment is replicated
- Samples are randomized and blinded
- Data inclusion/exclusion criteria are pre-defined
- Data analysis and statistical analysis of the results are pre-defined.
