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10.21037/atm.2016.02.15 http://scihub22266oqcxt.onion/10.21037/atm.2016.02.15 C4828741!4828741 !27127764     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27127764 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Ann+Transl+Med 2016 ; 4 (6 ): 111 Nephropedia Template TP {{tp|p=27127764 |t=2016. Model building strategy for logistic regression: purposeful selection |pdf=|usr=}}{{27127764 }} gab.com Text Model building strategy for logistic regression: purposeful selection JO: Ann Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=27127764 #FOAvip Logistic regression is one of the most commonly used models to account for confounders in medical literature. The article introduces how to perform purposeful selection model building strategy with R. I stress on the use of likelihood ratio test to see whether deleting a variable will have significant impact on model fit. A deleted variable should also be checked for whether it is an important adjustment of remaining covariates. Interaction should be checked to disentangle complex relationship between covariates and their synergistic effect on response variable. Model should be checked for the goodness-of-fit (GOF). In other words, how the fitted model reflects the real data. Hosmer-Lemeshow GOF test is the most widely used for logistic regression model. Twit Text FOAVip Model building strategy for logistic regression: purposeful selection ????Ann Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=27127764 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27127764 #FOAvip English Wikipedia <ref>{{Cite pmid|27127764 }}</ref> Model building strategy for logistic regression: purposeful selection #MMPMID27127764 Zhang Z Ann Transl Med 2016[Mar]; 4 (6 ): 111 PMID27127764 show ga Logistic regression is one of the most commonly used models to account for confounders in medical literature. The article introduces how to perform purposeful selection model building strategy with R. I stress on the use of likelihood ratio test to see whether deleting a variable will have significant impact on model fit. A deleted variable should also be checked for whether it is an important adjustment of remaining covariates. Interaction should be checked to disentangle complex relationship between covariates and their synergistic effect on response variable. Model should be checked for the goodness-of-fit (GOF). In other words, how the fitted model reflects the real data. Hosmer-Lemeshow GOF test is the most widely used for logistic regression model. äModel building strategy for logistic regression: purposeful selection (epmc).pdf DeepDyve Pubget Overpricing