ArticleThe Malaysian journal of medical sciences : MJMS2018
Sample Size Guidelines for Logistic Regression from Observational Studies with Large Population: Emphasis on the Accuracy Between Statistics and Parameters Based on Real Life Clinical Data.
Article in The Malaysian journal of medical sciences : MJMS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 293 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Association of Anesthesia Technique With Morbidity and Mortality in Patients With COVID-19 and Surgery for Hip Fracture: a Retrospective Population Cohort Study
Enhanced Recovery Program, Patient Reported Outcomes, Surgery-specific Outcomes and Stress Response After Pancreatic Surgery: A Prospective Observational Cohort Study by the Thessalic Pancreas Study Group (ThePANas).
Who cites it
293 citing papers in PubMed.
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233 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
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Abstract
backgroundDifferent study designs and population size may require different sample size for logistic regression. This study aims to propose sample size guidelines for logistic regression based on observational studies with large population.
methodsWe estimated the minimum sample size required based on evaluation from real clinical data to evaluate the accuracy between statistics derived and the actual parameters. Nagelkerke r-squared and coefficients derived were compared with their respective parameters.
resultsWith a minimum sample size of 500, results showed that the differences between the sample estimates and the population was sufficiently small. Based on an audit from a medium size of population, the differences were within ± 0.5 for coefficients and ± 0.02 for Nagelkerke
conclusionsFor observational studies with large population size that involve logistic regression in the analysis, taking a minimum sample size of 500 is necessary to derive the statistics that represent the parameters. The other recommended rules of thumb are EPV of 50 and formula;
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Registered trials
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