I am a clinician working for a community based hospital.
A few days ago, my fellow doctor asked me if I could give some advice for her data.
She was working on cross-sectional study in which she investigated the bad effect of high glucose level to the short term outcomes after certain orthopedic procedures.
Among many outcomes as a perioperative complication, just three acute cerebrovascular accident (CVA) was occurred in the study population within admission period.
She did not decide whether it should be included and investigated as a postoperative complication with other more frequent complications because acute cerebral event were too rarely occurred.
Anyway here is the 2x2 table. All the patients had same orthopedic surgery.
_______________________________ no CVA / CVA occured
Patients with Diabetes Mellitus ( DM) 250 / 3
Patients without Diabetes Mellitus (Control) 800 / 0
1) In this table , How to apply Chi-square or Fisher's exact test ?
If she have more patients suffering from CVA (like 50 patients), does a zero cell avoid to violate the assumption of Chi Square Method?
2) If she wanted to adjust other factors such as age and gender, logistic regression is possible ?
Which method would be applied in this case?
It may be not appropriate data for statistical analysis due to the short term period of observation and rarity of event , but I always do wonder what solution could be most appropriate in these rare events analysis.
Thank you very much for any comment or idea !!!
A few days ago, my fellow doctor asked me if I could give some advice for her data.
She was working on cross-sectional study in which she investigated the bad effect of high glucose level to the short term outcomes after certain orthopedic procedures.
Among many outcomes as a perioperative complication, just three acute cerebrovascular accident (CVA) was occurred in the study population within admission period.
She did not decide whether it should be included and investigated as a postoperative complication with other more frequent complications because acute cerebral event were too rarely occurred.
Anyway here is the 2x2 table. All the patients had same orthopedic surgery.
_______________________________ no CVA / CVA occured
Patients with Diabetes Mellitus ( DM) 250 / 3
Patients without Diabetes Mellitus (Control) 800 / 0
1) In this table , How to apply Chi-square or Fisher's exact test ?
If she have more patients suffering from CVA (like 50 patients), does a zero cell avoid to violate the assumption of Chi Square Method?
2) If she wanted to adjust other factors such as age and gender, logistic regression is possible ?
Which method would be applied in this case?
It may be not appropriate data for statistical analysis due to the short term period of observation and rarity of event , but I always do wonder what solution could be most appropriate in these rare events analysis.
Thank you very much for any comment or idea !!!
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