Asta-Advances in Statistical Analysis最新文献_第9页

Model-based clustering via new parsimonious mixtures of heavy-tailed distributions 基于模型的重尾分布新简约混合聚类

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2022-01-14 DOI: 10.1007/s10182-021-00430-8

Salvatore D. Tomarchio, Luca Bagnato, Antonio Punzo

引用次数: 6

Diagnostic checking of multiple imputation models 多种输入模型的诊断检查

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2022-01-14 DOI: 10.1007/s10182-021-00429-1

Yang Zhao

引用次数: 0

Diagnostic checking of multiple imputation models 多种输入模型的诊断检查

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2022-01-14 DOI: 10.1007/s10182-021-00429-1

Yang Zhao

{"title":"Diagnostic checking of multiple imputation models","authors":"Yang Zhao","doi":"10.1007/s10182-021-00429-1","DOIUrl":"10.1007/s10182-021-00429-1","url":null,"abstract":"<div><p>Model checking in multiple imputation (MI, Rubin in Multiple imputation for nonresponse in surveys, Wiley, New York, 1987) becomes increasingly important with the recent developments in MI and its widespread use in statistical analysis with missing data (e.g. van Buuren et al. in J Stat Comput Simul 76(12):1049–1064, 2006; van Buuren and Groothuis-Oudshoorn in J Stat Soft 45(3):1–67, 2011; Chen et al. in Biometrics 67:799–809, 2011; Nguyen et al. in Emerg Themes Epidemiol 14(8):1–12, 2017). The currently recommended posterior predictive checking method (He and Zaslavsky in Stat Med 31:1–18, 2012; Nguyen et al. in Biom J 4:676–694, 2015) is less effective when the proportion of missing values increases and its produced posterior predictive <i>p</i> value is not supported by a null distribution as a standard <i>p</i> value (Meng in Annu Stat 22:1142–1160, 1994). This research develops a new diagnostic method for checking MI models and proposes a test statistic with a standard <i>p</i> value. The new diagnostic checking method is effective and flexible. It does not depend on the proportion of missing values and can deal with data sets with arbitrary nonmonotone missing data patterns. We examine the performance of the proposed method in a simulation study and illustrate the method in a study of coronary disease and associated factors.</p></div>","PeriodicalId":55446,"journal":{"name":"Asta-Advances in Statistical Analysis","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10182-021-00429-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50050052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A spatial randomness test based on the box-counting dimension 基于盒计数维度的空间随机性检验

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2022-01-05 DOI: 10.1007/s10182-021-00434-4

Yolanda Caballero, Ramón Giraldo, Jorge Mateu

引用次数: 1

An integrated local depth measure 一种综合的局部深度测量

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2022-01-03 DOI: 10.1007/s10182-021-00424-6

Lucas Fernandez-Piana, Marcela Svarc

引用次数: 0

Improving the causal treatment effect estimation with propensity scores by the bootstrap 利用bootstrap改进倾向评分的因果治疗效果估计

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2021-12-21 DOI: 10.1007/s10182-021-00427-3

Maeregu W. Arisido, Fulvia Mecatti, Paola Rebora

{"title":"Improving the causal treatment effect estimation with propensity scores by the bootstrap","authors":"Maeregu W. Arisido, Fulvia Mecatti, Paola Rebora","doi":"10.1007/s10182-021-00427-3","DOIUrl":"10.1007/s10182-021-00427-3","url":null,"abstract":"<div><p>When observational studies are used to establish the causal effects of treatments, the estimated effect is affected by treatment selection bias. The inverse propensity score weight (IPSW) is often used to deal with such bias. However, IPSW requires strong assumptions whose misspecifications and strategies to correct the misspecifications were rarely studied. We present a bootstrap bias correction of IPSW (BC-IPSW) to improve the performance of propensity score in dealing with treatment selection bias in the presence of failure to the ignorability and overlap assumptions. The approach was motivated by a real observational study to explore the potential of anticoagulant treatment for reducing mortality in patients with end-stage renal disease. The benefit of the treatment to enhance survival was demonstrated; the suggested BC-IPSW method indicated a statistically significant reduction in mortality for patients receiving the treatment. Using extensive simulations, we show that BC-IPSW substantially reduced the bias due to the misspecification of the ignorability and overlap assumptions. Further, we showed that IPSW is still useful to account for the lack of treatment randomization, but its advantages are stringently linked to the satisfaction of ignorability, indicating that the existence of relevant though unmeasured or unused covariates can worsen the selection bias.</p></div>","PeriodicalId":55446,"journal":{"name":"Asta-Advances in Statistical Analysis","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10182-021-00427-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46055305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models 足球运动损伤的预测:使用正则化Cox模型的重复时间-事件方法

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2021-11-20 DOI: 10.1007/s10182-021-00428-2

Lore Zumeta-Olaskoaga, Maximilian Weigert, Jon Larruskain, Eder Bikandi, Igor Setuain, Josean Lekue, Helmut Küchenhoff, Dae-Jin Lee

{"title":"Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models","authors":"Lore Zumeta-Olaskoaga, Maximilian Weigert, Jon Larruskain, Eder Bikandi, Igor Setuain, Josean Lekue, Helmut Küchenhoff, Dae-Jin Lee","doi":"10.1007/s10182-021-00428-2","DOIUrl":"10.1007/s10182-021-00428-2","url":null,"abstract":"<div><p>Data-based methods and statistical models are given special attention to the study of sports injuries to gain in-depth understanding of its risk factors and mechanisms. The objective of this work is to evaluate the use of shared frailty Cox models for the prediction of occurring sports injuries, and to compare their performance with different sets of variables selected by several regularized variable selection approaches. The study is motivated by specific characteristics commonly found for sports injury data, that usually include reduced sample size and even fewer number of injuries, coupled with a large number of potentially influential variables. Hence, we conduct a simulation study to address these statistical challenges and to explore regularized Cox model strategies together with shared frailty models in different controlled situations. We show that predictive performance greatly improves as more player observations are available. Methods that result in sparse models and favour interpretability, e.g. Best Subset Selection and Boosting, are preferred when the sample size is small. We include a real case study of injuries of female football players of a Spanish football club.</p></div>","PeriodicalId":55446,"journal":{"name":"Asta-Advances in Statistical Analysis","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2021-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10182-021-00428-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46564718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Small area estimation of socioeconomic indicators for sampled and unsampled domains 抽样和未抽样地区社会经济指标的小面积估计

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2021-11-19 DOI: 10.1007/s10182-021-00426-4

Jan Pablo Burgard, Domingo Morales, Anna-Lena Wölwer

{"title":"Small area estimation of socioeconomic indicators for sampled and unsampled domains","authors":"Jan Pablo Burgard, Domingo Morales, Anna-Lena Wölwer","doi":"10.1007/s10182-021-00426-4","DOIUrl":"10.1007/s10182-021-00426-4","url":null,"abstract":"<div><p>Socioeconomic indicators play a crucial role in monitoring political actions over time and across regions. Income-based indicators such as the median income of sub-populations can provide information on the impact of measures, e.g., on poverty reduction. Regional information is usually published on an aggregated level. Due to small sample sizes, these regional aggregates are often associated with large standard errors or are missing if the region is unsampled or the estimate is simply not published. For example, if the median income of Hispanic or Latino Americans from the American Community Survey is of interest, some county-year combinations are not available. Therefore, a comparison of different counties or time-points is partly not possible. We propose a new predictor based on small area estimation techniques for aggregated data and bivariate modeling. This predictor provides empirical best predictions for the partially unavailable county-year combinations. We provide an analytical approximation to the mean squared error. The theoretical findings are backed up by a large-scale simulation study. Finally, we return to the problem of estimating the county-year estimates for the median income of Hispanic or Latino Americans and externally validate the estimates.</p></div>","PeriodicalId":55446,"journal":{"name":"Asta-Advances in Statistical Analysis","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10182-021-00426-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50038566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Small area estimation of socioeconomic indicators for sampled and unsampled domains 抽样和未抽样地区社会经济指标的小面积估计

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2021-11-19 DOI: 10.1007/s10182-021-00426-4

J. P. Burgard, D. Morales, Anna-Lena Wölwer

引用次数: 0

Introducing LASSO-type penalisation to generalised joint regression modelling for count data 在计数数据的广义联合回归模型中引入lasso型惩罚

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2021-11-12 DOI: 10.1007/s10182-021-00425-5

Hendrik van der Wurp, Andreas Groll

引用次数: 1