%0 Journal Article %1 Ottenbacher2004 %A Ottenbacher, K J %A Ottenbacher, H R %A Tooth, L %A G., V Ostir %D 2004 %J Journal of clinical epidemiology %K #EPIDEMIOLOGICMETHODS;HUMANS;LOGISTICMODELS;M P.H.S U.S.GOV'T %N 11 %P 1147-1152 %T A review of two journals found that articles using multivariable logistic regression frequently did not report commonly recommended assumptions %V 57 %X BACKGROUND AND OBJECTIVE: To examine if commonly recommended assumptions for multivariable logistic regression are addressed in two major epidemiological journals. METHODS: Ninety-nine articles from the Journal of Clinical Epidemiology and the American Journal of Epidemiology were surveyed for 10 criteria: six dealing with computation and four with reporting multivariable logistic regression results. RESULTS: Three of the 10 criteria were addressed in 50% or more of the articles. Statistical significance testing or confidence intervals were reported in all articles. Methods for selecting independent variables were described in 82%, and specific procedures used to generate the models were discussed in 65%. Fewer than 50% of the articles indicated if interactions were tested or met the recommended events per independent variable ratio of 10:1. Fewer than 20% of the articles described conformity to a linear gradient, examined collinearity, reported information on validation procedures, goodness-of-fit, discrimination statistics, or provided complete information on variable coding. There was no significant difference (P>.05) in the proportion of articles meeting the criteria across the two journals. CONCLUSION: Articles reviewed frequently did not report commonly recommended assumptions for using multivariable logistic regression.

@article{Ottenbacher2004, abstract = {BACKGROUND AND OBJECTIVE: To examine if commonly recommended assumptions for multivariable logistic regression are addressed in two major epidemiological journals. METHODS: Ninety-nine articles from the Journal of Clinical Epidemiology and the American Journal of Epidemiology were surveyed for 10 criteria: six dealing with computation and four with reporting multivariable logistic regression results. RESULTS: Three of the 10 criteria were addressed in 50% or more of the articles. Statistical significance testing or confidence intervals were reported in all articles. Methods for selecting independent variables were described in 82%, and specific procedures used to generate the models were discussed in 65%. Fewer than 50% of the articles indicated if interactions were tested or met the recommended events per independent variable ratio of 10:1. Fewer than 20% of the articles described conformity to a linear gradient, examined collinearity, reported information on validation procedures, goodness-of-fit, discrimination statistics, or provided complete information on variable coding. There was no significant difference (P>.05) in the proportion of articles meeting the criteria across the two journals. CONCLUSION: Articles reviewed frequently did not report commonly recommended assumptions for using multivariable logistic regression.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Ottenbacher, K J and Ottenbacher, H R and Tooth, L and G., V Ostir}, biburl = {https://www.bibsonomy.org/bibtex/2b00a9436c9312f0a4db081f47b07a8a3/jepcastel}, interhash = {6eefa51cf80db8248ff26be5ff984955}, intrahash = {b00a9436c9312f0a4db081f47b07a8a3}, journal = {Journal of clinical epidemiology}, keywords = {#EPIDEMIOLOGICMETHODS;HUMANS;LOGISTICMODELS;M P.H.S U.S.GOV'T}, note = {3709<m:linebreak></m:linebreak>Regressió logística}, number = 11, pages = {1147-1152}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {A review of two journals found that articles using multivariable logistic regression frequently did not report commonly recommended assumptions}, volume = 57, year = 2004 }