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10.3121/cmr.2024.1897 http://scihub22266oqcxt.onion/10.3121/cmr.2024.1897 C11374497!11374497!39231621     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Clin+Med+Res 2024 ; 22 (2): 84-96 Nephropedia Template TP {{tp|p=39231621|t=2024. Comprehensive Statistical Approach to Investigate the Risk Factors Affecting the Occurrences of Cellulitis Episodes among Patients with Lymphedema |pdf=|usr=}}{{39231621}} gab.com Text Comprehensive Statistical Approach to Investigate the Risk Factors Affecting the Occurrences of Cellulitis Episodes among Patients with Lymphedema JO: Clin Med Res http://www.kidney.de/pget.php?&tw=1&pmid=39231621 #FOAvip Background: Cellulitis is an infection of the skin and the tissues just under the skin. As any disease, cellulitis has various physiological and physical effects that deteriorate a patient?s quality of life. Luckily, cellulitis can be treated when dealt with in a timely fashion. Nonetheless, some patients may experience more than one episode of cellulitis or a recurrence of cellulitis that was previously cured. In fact, the occurrences of cellulitis episodes are believed to follow a statistical distribution. The frequency distribution of cellulitis episodes is scrutinized herein. We aimed to investigate the risk factors that affect the number of cellulitis episodes and the pattern of association between cancer types and cellulitis episodes by using analytical and visual approaches.Methods: A statistical approach applying a two-part count regression model was used instead of the traditional one-part count model. Moreover, multiple correspondence analysis was used to support the finding of count regression models.Results: The results of analysis of the sample from the National Cheng Kung University hospital in Taiwan revealed the mean age of patients was 58.7 ± 14.31 years old. The two-part regression model is conceptually and numerically better than the one-part regression model when examining the risks factors that affect cellulitis episodes. Particularly, we found the significant factors based on the best model are cellulitis history (; P value < 0.001), clinical stage of cancer (3) (; P value < 0.001), no cancer (; P value < 0.05), cancer of female reproductive organs (; P value < 0.05), breast cancer (; P value < 0.05), and age ? 60 years (; P value < 0.05). Multiple correspondence analysis approach found cancer types (breast and female reproductive organ), age ? 60 years, and cellulitis history were more likely to link to excess zero cellulitis or one cellulitis episode. Twit Text FOAVip Comprehensive Statistical Approach to Investigate the Risk Factors Affecting the Occurrences of Cellulitis Episodes among Patients with Lymphedema ????Clin Med Res http://www.kidney.de/pget.php?&tw=1&pmid=39231621 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=39231621 #FOAvip English Wikipedia <ref>{{Cite pmid|39231621}}</ref> Comprehensive Statistical Approach to Investigate the Risk Factors Affecting the Occurrences of Cellulitis Episodes among Patients with Lymphedema #MMPMID39231621 Qona?ah N; Lukusa M Clin Med Res 2024[Jun]; 22 (2): 84-96 PMID39231621show ga Background: Cellulitis is an infection of the skin and the tissues just under the skin. As any disease, cellulitis has various physiological and physical effects that deteriorate a patient?s quality of life. Luckily, cellulitis can be treated when dealt with in a timely fashion. Nonetheless, some patients may experience more than one episode of cellulitis or a recurrence of cellulitis that was previously cured. In fact, the occurrences of cellulitis episodes are believed to follow a statistical distribution. The frequency distribution of cellulitis episodes is scrutinized herein. We aimed to investigate the risk factors that affect the number of cellulitis episodes and the pattern of association between cancer types and cellulitis episodes by using analytical and visual approaches.Methods: A statistical approach applying a two-part count regression model was used instead of the traditional one-part count model. Moreover, multiple correspondence analysis was used to support the finding of count regression models.Results: The results of analysis of the sample from the National Cheng Kung University hospital in Taiwan revealed the mean age of patients was 58.7 ± 14.31 years old. The two-part regression model is conceptually and numerically better than the one-part regression model when examining the risks factors that affect cellulitis episodes. Particularly, we found the significant factors based on the best model are cellulitis history (; P value < 0.001), clinical stage of cancer (3) (; P value < 0.001), no cancer (; P value < 0.05), cancer of female reproductive organs (; P value < 0.05), breast cancer (; P value < 0.05), and age ? 60 years (; P value < 0.05). Multiple correspondence analysis approach found cancer types (breast and female reproductive organ), age ? 60 years, and cellulitis history were more likely to link to excess zero cellulitis or one cellulitis episode. äComprehensive Statistical Approach to Investigate the Risk Factors Aff(epmc).pdf DeepDyve Pubget Overpricing