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Including more explanatory variables seems irrelevant here. The problems you encounter are very likely to come from the fact that presence/absence of MP is not an appropriate response variable, i.e. it might not represent much, since only 6 samples out of 30 have a score of 0, and all the rest are 1s. Therefore, there is barely any variance to explain.

I would try to obtain a continuous measure of MP instead. If this is not possible, I would not run any statistics, but simply say that MP can be found in most samples regardless of the value of the explanatory variables.

I do not think the problem comes from the small sample size per. It rather comes from the fact that MPs are obviously almost present everywhere regardless from the value of explanatory variables, since only 6 samples out of 30 have a score of 0, and all the rest are 1s. There is barely any variance to explain. Therefore, including more explanatory variables seems irrelevant here.

I would try to obtain a continuous measure of MP instead. If this is not possible, I would not run any statistics, but simply say that MP can be found in most samples regardless of the value of the explanatory variables.

Including more explanatory variables seems irrelevant here. The problems you encounter are very likely to come from the fact that presence/absence of MP is not an appropriate response variable, i.e. it might not represent much, since only 6 samples out of 30 have a score of 0, and all the rest are 1s. Therefore, here is barely any variance to explain.

I would try to obtain a continuous measure of MP instead. If this is not possible, I would not run any statistics, but simply say that MP can be found in most samples regardless of the value of the explanatory variables.

Including more explanatory variables seems irrelevant here. The problems you encounter are very likely to come from the fact that presence/absence of MP is not an appropriate response variable, i.e. it might not represent much, since only 6 samples out of 30 have a score of 0, and all the rest are 1s. Therefore, there is barely any variance to explain.

I would try to obtain a continuous measure of MP instead. If this is not possible, I would not run any statistics, but simply say that MP can be found in most samples regardless of the value of the explanatory variables.

It looks to me like it is not a problem with the sample size per se. Instead, presence/absence of MP is not a relevant response variable, since only 6 samples out of 30 have a score of 0, and all the rest are 1s. Therefore, it seems irrelevant to me to ask whether one can include more explanatory variables, since there is barely any variance to explain. Is it possible that MP would be better quantified as a continuous variable ?

Including more explanatory variables seems irrelevant here. The problems you encounter are very likely to come from the fact that presence/absence of MP is not an appropriate response variable, i.e. it might not represent much, since only 6 samples out of 30 have a score of 0, and all the rest are 1s. Therefore, here is barely any variance to explain.

I would try to obtain a continuous measure of MP instead. If this is not possible, I would not run any statistics, but simply say that MP can be found in most samples regardless of the value of the explanatory variables.