Proceedings. American Statistical Association. Annual Meeting最新文献_第2页

Design Issues in Longitudinal Studies. 纵向研究中的设计问题。

Proceedings. American Statistical Association. Annual Meeting Pub Date : 2013-08-01

Christopher H Morrell, Veena Shetty, Edward G Lakatta

{"title":"Design Issues in Longitudinal Studies.","authors":"Christopher H Morrell, Veena Shetty, Edward G Lakatta","doi":"","DOIUrl":"","url":null,"abstract":"In designing a longitudinal study one needs to decide on two critical components: duration of study and frequency of visits. In addition, other issues involving sample size, power, number of observations per subject must be addressed. If the study is meant to be completed within a certain time frame, would it better to have a fixed time between observations (which might allow the study to terminate early if its objectives are met) or to spread out the observations over the entire study period? At some point during the study, it may be of interest to see if additional data points would contribute substantially. Assume that the longitudinal data will be analyzed using a linear mixed-effects model. In this investigation we use the standard errors of estimates of model parameters as the criterion. We seek to address the issues using three approaches. First, subsets of a data set are constructed in a number of ways and the standard errors are examined. Second, using a variety of designs, the covariance matrix of the fixed-effects is computed and the standard errors are examined. Finally, a simulation study is conducted.","PeriodicalId":87345,"journal":{"name":"Proceedings. American Statistical Association. Annual Meeting","volume":"2013 ","pages":"1786-1795"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507671/pdf/nihms-1930221.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41173902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Is There a Partial Consensus Ordering Between Rankings? 排名之间是否存在部分共识排序？

Proceedings. American Statistical Association. Annual Meeting Pub Date : 2012-08-01

Srinath Sampath, Joseph S Verducci

引用次数: 0

Optimizing Call Patterns for Landline and Cell Phone Surveys. 优化座机和手机调查的通话模式。

Proceedings. American Statistical Association. Annual Meeting Pub Date : 2012-01-01

Becky Reimer, Veronica Roth, Robert Montgomery

{"title":"Optimizing Call Patterns for Landline and Cell Phone Surveys.","authors":"Becky Reimer, Veronica Roth, Robert Montgomery","doi":"","DOIUrl":"","url":null,"abstract":"Cell phone surveys have become increasingly popular and researchers have noted major challenges in conducting cost-effective surveys while achieving high response rates. Previous work has shown that calling strategies that maximize both respondent contact and completed interviews for landline surveys may not be the most cost-effective for cell phone surveys. For example, Montgomery, et al. (2011) found important differences between landline and cell samples for best times to call and declines in contact rates after repeated dialing. Using paradata from the 2010 and 2011 National Flu Surveys (sponsored by the Centers for Disease Control and Prevention), we investigate differences in calling outcomes between landline and cell surveys. Specifically, we predict respondent contact and interview completion using logistic regression models that examine the impact of calling on particular days of the week, certain times of the day, number of previous calls, outcomes of previous calls and length of time between calls. We discuss how these differences can be used to increase the likelihood of contacting cooperative respondents and completing interviews for both sample types.","PeriodicalId":87345,"journal":{"name":"Proceedings. American Statistical Association. Annual Meeting","volume":"2012 ","pages":"4648-4660"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875189/pdf/nihms943038.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35966629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ex-Vivo Modeling for Heritability Assessment and Genetic Mapping in Pharmacogenomics. 药物基因组学中遗传力评估和基因定位的离体建模。

Proceedings. American Statistical Association. Annual Meeting Pub Date : 2011-07-01

Alison Motsinger-Reif, Chad Brown, Tammy Havener, Nicholas Hardison, Eric Peters, Andrew Beam, Lorri Everrit, Howard McLeod

{"title":"Ex-Vivo Modeling for Heritability Assessment and Genetic Mapping in Pharmacogenomics.","authors":"Alison Motsinger-Reif, Chad Brown, Tammy Havener, Nicholas Hardison, Eric Peters, Andrew Beam, Lorri Everrit, Howard McLeod","doi":"","DOIUrl":"","url":null,"abstract":"The investigation of genetic factors that determine differential drug response is a key goal of pharmacogenomics (PGX), and relies on the often-untested assumption that differential response is heritable. While limitations in traditional study design often prohibit heritability (h2) estimates in PGX, new approaches may allow such estimates. We demonstrate an ex vivo model system to determine the h2 of drug-induced cell killing and performed genome-wide analysis for gene mapping. The cytotoxic effect of 29 diverse chemotherapeutic agents on lymphoblastoid cell lines (LCLs) derived from family- and population-based cohorts was investigated. We used a high throughput format to determine cytotoxicity of the drugs on LCLs and developed a new evolutionary computation approach to fit response curves for each individual. Variance components analysis determined the h2 for each drug response and a wide range of values was observed across drugs. Genome-wide analysis was performed using new analytical approaches. These results lay the groundwork for future studies to uncover genes influencing chemotherapeutic response and demonstrate a new computational framework for performing such analysis.","PeriodicalId":87345,"journal":{"name":"Proceedings. American Statistical Association. Annual Meeting","volume":"2011 ","pages":"306-318"},"PeriodicalIF":0.0,"publicationDate":"2011-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322852/pdf/nihms893875.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36839431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel method for testing association of multiple genetic markers with a multinomial trait. 测试多个遗传标记与多项式性状关联的新方法。

Proceedings. American Statistical Association. Annual Meeting Pub Date : 2010-07-01

Soonil Kwon, Mark O Goodarzi, Kent D Taylor, Jinrui Cui, Y-D Ida Chen, Jerome I Rotter, Willa Hsueh, Xiuqing Guo

引用次数: 0