Pub Date : 2023-01-31DOI: 10.29220/csam.2023.30.1.001
Limei Zhou, P. Austin, Husam Abdel-Qadira
Observational data with missing or incomplete data are common in biomedical research. Multiple imputation is an e ff ective approach to handle missing data with the ability to decrease bias while increasing statistical power and e ffi ciency. In recent years propensity score (PS) matching has been increasingly used in observational studies to estimate treatment e ff ect as it can reduce confounding due to measured baseline covariates. In this paper, we describe in detail approaches to competing risk analysis in the setting of incomplete observational data when using PS matching. First, we used multiple imputation to impute several missing variables simultaneously, then conducted propensity-score matching to match statin-exposed patients with those unexposed. Afterwards, we assessed the e ff ect of statin exposure on the risk of heart failure-related hospitalizations or emergency visits by estimating both relative and absolute e ff ects. Collectively, we provided a general methodological framework to assess treatment e ff ect in incomplete observational data. In addition, we presented a practical approach to produce overall cumulative incidence function (CIF) based on estimates from multiple imputed and PS-matched samples.
{"title":"A case study of competing risk analysis in the presence of missing data","authors":"Limei Zhou, P. Austin, Husam Abdel-Qadira","doi":"10.29220/csam.2023.30.1.001","DOIUrl":"https://doi.org/10.29220/csam.2023.30.1.001","url":null,"abstract":"Observational data with missing or incomplete data are common in biomedical research. Multiple imputation is an e ff ective approach to handle missing data with the ability to decrease bias while increasing statistical power and e ffi ciency. In recent years propensity score (PS) matching has been increasingly used in observational studies to estimate treatment e ff ect as it can reduce confounding due to measured baseline covariates. In this paper, we describe in detail approaches to competing risk analysis in the setting of incomplete observational data when using PS matching. First, we used multiple imputation to impute several missing variables simultaneously, then conducted propensity-score matching to match statin-exposed patients with those unexposed. Afterwards, we assessed the e ff ect of statin exposure on the risk of heart failure-related hospitalizations or emergency visits by estimating both relative and absolute e ff ects. Collectively, we provided a general methodological framework to assess treatment e ff ect in incomplete observational data. In addition, we presented a practical approach to produce overall cumulative incidence function (CIF) based on estimates from multiple imputed and PS-matched samples.","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42898617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.29220/csam.2022.29.6.679
H. Shim, S. Kim, Y. Choi
{"title":"Sustainability of pensions in Asian countries","authors":"H. Shim, S. Kim, Y. Choi","doi":"10.29220/csam.2022.29.6.679","DOIUrl":"https://doi.org/10.29220/csam.2022.29.6.679","url":null,"abstract":"","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45696751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.29220/csam.2022.29.6.721
Chaeyoung Lee, J. Yoo
{"title":"Comprehensive studies of Grassmann manifold optimization and sequential candidate set algorithm in a principal fitted component model","authors":"Chaeyoung Lee, J. Yoo","doi":"10.29220/csam.2022.29.6.721","DOIUrl":"https://doi.org/10.29220/csam.2022.29.6.721","url":null,"abstract":"","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41379152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.29220/csam.2022.29.6.655
Yin Cao, Kwang-Nam Seo, Soohyun Ahn, Johan Lim
{"title":"Estimation of high-dimensional sparse cross correlation matrix","authors":"Yin Cao, Kwang-Nam Seo, Soohyun Ahn, Johan Lim","doi":"10.29220/csam.2022.29.6.655","DOIUrl":"https://doi.org/10.29220/csam.2022.29.6.655","url":null,"abstract":"","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46460582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.29220/csam.2022.29.6.641
S. Park, Sunyul Kim, Byungtae Seo
{"title":"Penalized maximum likelihood estimation with symmetric log-concave errors and LASSO penalty","authors":"S. Park, Sunyul Kim, Byungtae Seo","doi":"10.29220/csam.2022.29.6.641","DOIUrl":"https://doi.org/10.29220/csam.2022.29.6.641","url":null,"abstract":"","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42507898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.29220/csam.2022.29.6.695
Sihyeon Kim, B. Seong
{"title":"Grouping stocks using dynamic linear models","authors":"Sihyeon Kim, B. Seong","doi":"10.29220/csam.2022.29.6.695","DOIUrl":"https://doi.org/10.29220/csam.2022.29.6.695","url":null,"abstract":"","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42568452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.29220/csam.2022.29.6.629
Seogyoung Lee, Martin Seunghwan Yang, Jongkyeong Kang, S. Shin
{"title":"Ensemble variable selection using genetic algorithm","authors":"Seogyoung Lee, Martin Seunghwan Yang, Jongkyeong Kang, S. Shin","doi":"10.29220/csam.2022.29.6.629","DOIUrl":"https://doi.org/10.29220/csam.2022.29.6.629","url":null,"abstract":"","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41977031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.29220/csam.2022.29.6.665
Y. Jeon, Suk-Bok Kang, J. Seo
{"title":"Maximum product of spacings under a generalized Type-II progressive hybrid censoring scheme","authors":"Y. Jeon, Suk-Bok Kang, J. Seo","doi":"10.29220/csam.2022.29.6.665","DOIUrl":"https://doi.org/10.29220/csam.2022.29.6.665","url":null,"abstract":"","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44818885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.29220/csam.2022.29.6.709
Hyo-Sook Kim, Sujin Park, Sahm Kim
{"title":"Solar radiation forecasting using boosting decision tree and recurrent neural networks","authors":"Hyo-Sook Kim, Sujin Park, Sahm Kim","doi":"10.29220/csam.2022.29.6.709","DOIUrl":"https://doi.org/10.29220/csam.2022.29.6.709","url":null,"abstract":"","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43079883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.29220/csam.2022.29.5.533
S. G, V. R, Asha Kamath
{"title":"Estimating the AUC of the MROC curve in the presence of measurement errors","authors":"S. G, V. R, Asha Kamath","doi":"10.29220/csam.2022.29.5.533","DOIUrl":"https://doi.org/10.29220/csam.2022.29.5.533","url":null,"abstract":"","PeriodicalId":44931,"journal":{"name":"Communications for Statistical Applications and Methods","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48723721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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