Good morning to everyone.
I would like to start with a big thank you to this forum, because I always had some useful tipps here.
I am writing because I will start soon to anaylse data from a randomized 1:1, double blind, cross-over clinical trial with a certain exposure (drug or placebo).
20 patients were randomized 1:1 to take either placebo or the drug (period 1) and a set of outcome variables were measured (blood parameters) after 2 weeks of treatment.
Afterwards, all patients had a 1-week wash-out period and then they switched to placebo or the drug (period 2), depending on what they have taken in period 1. Again blood parameters were measured after 2 weeks.
Since all patients had 2 different level of exposure (placebo and drug), I would like to ask you which is the correct way to proceed in this dataset.
My objective is to compare: 1. differences in the outcome variables in placebo vs drug patients (inter-individual differences) and 2. changes over time due to the drug, in the same patient (intra-individual).
Thank you in advance!
I would like to start with a big thank you to this forum, because I always had some useful tipps here.
I am writing because I will start soon to anaylse data from a randomized 1:1, double blind, cross-over clinical trial with a certain exposure (drug or placebo).
20 patients were randomized 1:1 to take either placebo or the drug (period 1) and a set of outcome variables were measured (blood parameters) after 2 weeks of treatment.
Afterwards, all patients had a 1-week wash-out period and then they switched to placebo or the drug (period 2), depending on what they have taken in period 1. Again blood parameters were measured after 2 weeks.
Since all patients had 2 different level of exposure (placebo and drug), I would like to ask you which is the correct way to proceed in this dataset.
My objective is to compare: 1. differences in the outcome variables in placebo vs drug patients (inter-individual differences) and 2. changes over time due to the drug, in the same patient (intra-individual).
Thank you in advance!
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