Difference between revisions of "Experimental design: Recommendations"

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* [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 the 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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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:


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