Example outcome: pleural effusion

Variables: Fluid administration, surgery type, heart failure...the list goes on. I am assuming a logistic regression is the best way to tackle this but would appreciate some input

- Thread starter Roundtoit
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Example outcome: pleural effusion

Variables: Fluid administration, surgery type, heart failure...the list goes on. I am assuming a logistic regression is the best way to tackle this but would appreciate some input

What is your sample size and what are the proportion with drain needed yes/no?

Also, turning time into a binary variable can mean results are sample specific. another approach is to leave them in the model and report them as say a standard deviation increase or decrease in time.

yes essentially. pleural effusion requiring drainage after surgery. The argument currently is that drainage tubes are removed too early which leads to effusion formation, solution: leave tubes in longer. my hypothesis is, that is nonsense, earlier drain removal makes no difference. All these other factors effect effusion formation/development.

I am trying to determine the predictive factors associated with the risk of developing an outcome.

Example outcome: pleural effusion

(To dichotomize an explanatory variable as time, will also loose infomation.)

It also makes the statistical analysis more difficult.

Why throw away information and make things more difficult?