Difference between revisions of "Experimental design: Recommendations"
| Line 9: | Line 9: | ||
* Defined experimental conditions | * Defined experimental conditions | ||
* Defined [https://eqipd-toolbox.paasp.net/wiki/2.1.6_Sample_size_and_power_analysis samples size] | * Defined [https://eqipd-toolbox.paasp.net/wiki/2.1.6_Sample_size_and_power_analysis samples size] | ||
| − | * Relevant controls included | + | * Relevant controls are included |
* Replication of the experiment | * Replication of the experiment | ||
* [https://eqipd-toolbox.paasp.net/wiki/2.1.8_Randomisation Randomization] and [https://eqipd-toolbox.paasp.net/wiki/2.1.7_Blinding blinding] of the samples | * [https://eqipd-toolbox.paasp.net/wiki/2.1.8_Randomisation Randomization] and [https://eqipd-toolbox.paasp.net/wiki/2.1.7_Blinding blinding] of the samples | ||
* [https://eqipd-toolbox.paasp.net/wiki/2.1.9_Inclusion_and_exclusion_criteria 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 | ||
* [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 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 results are pre-defined | ||
Revision as of 12:58, 15 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
- Defined experimental conditions
- Defined samples size
- Relevant controls are included
- Replication of the experiment
- Randomization and blinding of the samples
- Data inclusion/exclusion criteria are pre-defined
- Data analysis and statistical analysis of results are pre-defined
