Good afternoon, everyone!
I plan to investigate the effect of Trendelenburg position on the quantitative measure "X". We have the following results:
1) Study 1: 30 patients in supine position have the value of the parameter "X" = 69+-10, same patients in Trendelenburg position: "X" = 75+-12. The time after which values of the parameter "X" were recorded after the start of the Trendelenburg position was 1 minute.
2) Study 2: 40 patients in the supine position: "X" = 86+-11, same patients in the Trendelenburg position: "X" = 105+-16. The time after which values of the parameter "X" were recorded after the start of the Trendelenburg position was 1 minute.
AND same 40 patients in the Trendelenburg position have the value of the parameter "X"= 95+-14, BUT the time after which values of the parameter "X" were recorded after the start of the Trendelenburg position was 10 minutes, instead of 1 min.
In fact, we have 3 observations for one outcome, but 2 of them are from the same cohort of patients in the Study 2.
How can we take this into account to adjust the "weight" of each of the two results in the second study?
Would it be correct to reduce the sample size for the second and third observations to 20 (40/2) when entering primary data for meta-analysis into programs such as Stata or RevMan?