2期

最新文章

• ANALYSES OF PREVENTIVE CARE MEASURES WITH INCOMPLETE HISTORICAL DATA IN ELECTRONIC MEDICAL RECORDS: AN EXAMPLE FROM COLORECTAL CANCER SCREENING AI翻译
  作者：Zheng, Yingye; Corley, Douglas A.; Doubeni, Chyke; Halm, Ethan; Shortreed, Susan M.; Barlow, William E.; Zauber, Ann; Tosteson, Tor Devin; Chubak, Jessica
  作者单位：Fred Hutchinson Cancer Center; Kaiser Permanente; Mayo Clinic; Kaiser Permanente; Cancer Research & Biostatistics; Memorial Sloan Kettering Cancer Center; Dartmouth College
  摘要：The calculation of quality of care measures based on electronic medical records (EMRs) may be inaccurate because of incomplete capture of past services. We evaluate the influence of different statistical approaches for calculating the proportion of patients who are up-to-date for a preventive service, using the example of colorectal cancer (CRC) screening. We propose an extension of traditional mixture models to account for the uncertainty in compliance which is further complicated by the choi...
• FUNCTION-ON-SCALAR QUANTILE REGRESSION WITH APPLICATION TO MASS SPECTROMETRY PROTEOMICS DATA AI翻译
  作者：Liu, Yusha; Li, Meng; Morris, Jeffrey S.
  作者单位：Rice University; University of Pennsylvania
  摘要：Mass spectrometry proteomics, characterized by spiky, spatially heterogeneous functional data, can be used to identify potential cancer biomarkers. Existing mass spectrometry analyses utilize mean regression to detect spectral regions that are differentially expressed across groups. However, given the interpatient heterogeneity that is a key hallmark of cancer, many biomarkers are only present at aberrant levels for a subset of, not all, cancer samples. Differences in these biomarkers can easi...
• A CAUSAL EXPOSURE RESPONSE FUNCTION WITH LOCAL ADJUSTMENT FOR CONFOUNDING: ESTIMATING HEALTH EFFECTS OF EXPOSURE TO LOW LEVELS OF AMBIENT FINE PARTICULATE MATTER AI翻译
  作者：Papadogeorgou, Georgia; Dominici, Francesca
  作者单位：Duke University; Harvard University; Harvard T.H. Chan School of Public Health
  摘要：In the last two decades ambient levels of air pollution have declined substantially. At the same time the Clean Air Act mandates that the National Ambient Air Quality Standards (NAAQS) must be routinely assessed to protect populations based on the latest science. Therefore, researchers should continue to address the following question: is exposure to levels of air pollution below the NAAQS harmful to human health? Furthermore, the contentious nature surrounding environmental regulations urges ...
• BASELINE DRIFT ESTIMATION FOR AIR QUALITY DATA USING QUANTILE TREND FILTERING AI翻译
  作者：Brantley, Halley L.; Guinness, Joseph; Chi, Eric C.
  作者单位：North Carolina State University; Cornell University
  摘要：We address the problem of estimating smoothly varying baseline trends in time series data. This problem arises in a wide range of fields, including chemistry, macroeconomics and medicine; however, our study is motivated by the analysis of data from low cost air quality sensors. Our methods extend the quantile trend filtering framework to enable the estimation of multiple quantile trends simultaneously while ensuring that the quantiles do not cross. To handle the computational challenge posed b...
• SEQUENTIAL IMPORTANCE SAMPLING FOR MULTIRESOLUTION KINGMAN-TAJIMA COALESCENT COUNTING AI翻译
  作者：Cappello, Lorenzo; Palacios, Julia A.
  作者单位：Stanford University; Stanford University
  摘要：Statistical inference of evolutionary parameters from molecular sequence data relies on coalescent models to account for the shared genealogical ancestry of the samples. However, inferential algorithms do not scale to available data sets. A strategy to improve computational efficiency is to rely on simpler coalescent and mutation models, resulting in smaller hidden state spaces. An estimate of the cardinality of the state space of genealogical trees at different resolutions is essential to dec...
• ACCOUNTING FOR UNCERTAINTY ABOUT PAST VALUES IN PROBABILISTIC PROJECTIONS OF THE TOTAL FERTILITY RATE FOR MOST COUNTRIES AI翻译
  作者：Liu, Peiran; Raftery, Adrian E.
  作者单位：University of Washington; University of Washington Seattle
  摘要：Since the 1940s, population projections have in most cases been produced using the deterministic cohort component method. However, in 2015, for the first time and in a major advance, the United Nations issued official probabilistic population projections for all countries based on Bayesian hierarchical models for total fertility and life expectancy. The estimates of these models and the resulting projections are conditional on the U.N.'s official estimates of past values. However, these past v...
• BAYESIAN VARIABLE SELECTION FOR SURVIVAL DATA USING INVERSE MOMENT PRIORS AI翻译
  作者：Nikooienejad, Amir; Wang, Wenyi; Johnson, Valen E.
  作者单位：Eli Lilly; University of Texas System; UTMD Anderson Cancer Center; Texas A&M University System; Texas A&M University College Station
  摘要：Efficient variable selection in high-dimensional cancer genomic studies is critical for discovering genes associated with specific cancer types and for predicting response to treatment. Censored survival data is prevalent in such studies. In this article we introduce a Bayesian variable selection procedure that uses a mixture prior composed of a point mass at zero and an inverse moment prior in conjunction with the partial likelihood defined by the Cox proportional hazard model. The procedure ...
• AN EFFICIENT AND COMPUTATIONALLY ROBUST STATISTICAL METHOD FOR ANALYZING CASE-CONTROL MOTHER-OFFSPRING PAIR GENETIC ASSOCIATION STUDIES AI翻译
  作者：Zhang, Hong; Mukherjee, Bhramar; Arthur, Victoria; Hu, Gang; Hochner, Hagit; Chen, Jinbo
  作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; University of Michigan System; University of Michigan; University of Pennsylvania; Hebrew University of Jerusalem
  摘要：Case-control mother-offspring pair design has been widely adopted for studying early-life and women's pregnancy health. It allows assessment of pre- and perinatal environmental risk factors as well as both maternal and offspring genetic risk factors. Data arising from this design is routinely analyzed using standard prospective logistic regression. Such data has two unique features: the offspring genotypes are not correlated with maternal environmental risk factors given maternal genotypes, an...
• MULTIVIEW CLUSTER AGGREGATION AND SPLITTING, WITH AN APPLICATION TO MULTIOMIC BREAST CANCER DATA AI翻译
  作者：Godichon-Baggioni, Antoine; Maugis-Rabusseau, Cathy; Rau, Andrea
  作者单位：Universite Paris Cite; Sorbonne Universite; Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Mathematical Sciences (INSMI); Universite Federale Toulouse Midi-Pyrenees (ComUE); Universite de Toulouse; Institut National des Sciences Appliquees de Toulouse; Universite Toulouse III - Paul Sabatier; Universite Paris Saclay; INRAE; AgroParisTech
  摘要：Multiview data, which represent distinct but related groupings of variables, can be useful for identifying relevant and robust clustering structures among observations. A large number of multiview classification algorithms have been proposed in the fields of computer science and genomics; here, we instead focus on the task of merging or splitting an existing hard or soft cluster partition based on multiview data. This article is specifically motivated by an application involving multiomic brea...
• SEASONAL WARRANTY PREDICTION BASED ON RECURRENT EVENT DATA AI翻译
  作者：Shan, Qianqian; Hong, Yili; Meeker, William Q.
  作者单位：Iowa State University; Virginia Polytechnic Institute & State University
  摘要：Warranty return data from repairable systems, such as home appliances, lawn mowers, computers and automobiles, result in recurrent event data. The nonhomogeneous Poisson process (NHPP) model is used widely to describe such data. Seasonality in the repair frequencies and other variabilities, however, complicate the modeling of recurrent event data. Not much work has been done to address the seasonality, and this paper provides a general approach for the application of NHPP models with dynamic c...