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# "Association" between attributes; odds ratio; confidence interval

Hi,

This paper deals with principally association of 2 attributes where the label is known for all examples. The data is recalculated with filters which are based on values currently considered as standard in medicine.

I do not get how this analysis could be repeated using RM. I know there is some discussion on the use of odds ratio etc.

The reason for my question is the fact I would like to analyse other "associations" of other attributes.

What is the correct terminology for the process used in this article?

Thanks

Sven

https://www.dropbox.com/s/pfh7tm1j2cp1dxd/J%20Intensive%20Care%20Med-2014-Moskowitz-0885066614530659.pdf?dl=0

This paper deals with principally association of 2 attributes where the label is known for all examples. The data is recalculated with filters which are based on values currently considered as standard in medicine.

I do not get how this analysis could be repeated using RM. I know there is some discussion on the use of odds ratio etc.

The reason for my question is the fact I would like to analyse other "associations" of other attributes.

What is the correct terminology for the process used in this article?

Thanks

Sven

https://www.dropbox.com/s/pfh7tm1j2cp1dxd/J%20Intensive%20Care%20Med-2014-Moskowitz-0885066614530659.pdf?dl=0

0

## Answers

333UnicornAnyone a python script available to calculate the odds ratio and confidence interval?

Thanks

Sven

3,517RM Data Scientistcould you be a bit more specific on what "filter" you want to use? It is kind of hard for me to read those papers, because the language is just different from the papers i am used to read.

Cheers,

Martin

Dortmund, Germany

333UnicornWith filters I meant data ranges used in medicine, most frequently empirically defined. For instance: serum lactate concentration >2 mmol/L is considered lactate acidosis, severe lactate acidosis is lactate concentration >4mmol/L, normal lactate concentrations <= 2mmol/L

Cheers

Sven

3,517RM Data ScientistDortmund, Germany

333UnicornCheers

Sven

3,517RM Data ScientistCheers,

Martin

Dortmund, Germany

333UnicornThe authors of the paper report:

We report baseline patient characteristics and laboratory data by quartiles. Sequential, multivariate models were created to define the association between magnesium concentrations, assessed as quartiles and as a continuous variable....For all analyses of cohort quartiles, the third magnesium quartile was used as reference. This reference value was chosen as it most closely reflects normal magnesium concentrations.... Separate regressions for lactic acidosis (>2 mmol/L) and severe lactic acidosis (>4 mmol/L) were performed. In unadjusted analysis (Table 2),the lowest magnesium quartile had an 85% increased odds of mild lactic acidosis (odds ratio [OR] 1.85, 95% confidence interval [95%CI] 1.64-2.08,P< .001) compared to patients in the reference quartile. This relationship remained highly significant after adjustment (OR 1.71, 95%CI 1.51-1.94, Pvalue<.001).My question is short: with the exampleset available, how could I calculate the OR and confidence interval?

Thanks