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作者：Hof, Michel H.; Ravelli, Anita C.; Zwinderman, Aeilko H.
作者单位：University of Amsterdam; University of Amsterdam
摘要：In the absence of a unique identifier, combining information from multiple files relies on partially identifying variables (e.g., gender, initials). With a record linkage procedure, these variables are used to distinguish record pairs that belong together (matches) from record pairs that do not belong together (nonmatches). Generally, the combined strength of the partially identifying variables is too low causing imperfect linkage; some true nonmatches are identified as match and, on the other...
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作者：Xu, Gongjun; Sit, Tony; Wang, Lan; Huang, Chiung-Yu
作者单位：University of Minnesota System; University of Minnesota Twin Cities; University of Michigan System; University of Michigan; Chinese University of Hong Kong; Johns Hopkins University; Johns Hopkins Medicine
摘要：Biased sampling occurs frequently in economics, epidemiology, and medical studies either by design or due to data collecting mechanism. Failing to take into account the sampling bias usually leads to incorrect inference. We propose a unified estimation procedure and a computationally fast resampling method to make statistical inference for quantile regression with survival data under general biased sampling schemes, including but not limited to the length-biased sampling, the case-cohort desig...
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作者：Liu, Wei; Zhang, Zhiwei; Nie, Lei; Soon, Guoxing
作者单位：Harbin Institute of Technology; University of California System; University of California Riverside; US Food & Drug Administration (FDA); US Food & Drug Administration (FDA)
摘要：Rilpivirine and efavirenz are two major nonnucleoside reverse transcriptase inhibitors currently available in the U.S. for treatment-naive adult patients infected with human immunodeficiency virus (HIV). Two randomized clinical trials comparing the two drugs suggested that their relative efficacy may depend on baseline viral load and CD4 cell count. This article is concerned with the potential utilities of these biomarkers in developing individualized treatment regimes that attempt to maximize...
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作者：Guarniero, Pieralberto; Johansen, Adam M.; Lee, Anthony
作者单位：University of Warwick
摘要：We present an offline, iterated particle filter to facilitate statistical inference in general state space hidden Markov models. Given amodel and a sequence of observations, the associated marginal likelihood L is central to likelihood-based inference for unknown statistical parameters. We define a class of twisted models: each member is specified by a sequence of positive functions. and has an associated psi-auxiliary particle filter that provides unbiased estimates of L. We identify a sequen...
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作者：Chen, Shizhe; Shojaie, Ali; Witten, Daniela M.
作者单位：University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
摘要：We consider the task of learning a dynamical systemfromhigh-dimensional time-course data. For instance, we might wish to estimate a gene regulatory network from gene expression data measured at discrete time points. Wemodel the dynamical system nonparametrically as a systemof additive ordinary differential equations. Most existing methods for parameter estimation in ordinary differential equations estimate the derivatives from noisy observations. This is known to be challenging and inefficient...
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作者：Manrique-Vallier, Daniel; Reiter, Jerome P.
作者单位：Indiana University System; Indiana University Bloomington; Duke University
摘要：In categorical data, it is typically the case that some combinations of variables are theoretically impossible, such as a 3-year-old child who is married or a man who is pregnant. In practice, however, reported values often include such structural zeros due to, for example, respondent mistakes or data processing errors. To purge data of such errors, many statistical organizations use a process known as edit-imputation. The basic idea is first to select reported values to change according to so...
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作者：Miles, Caleb H.; Shpitser, Ilya; Kanki, Phyllis; Meloni, Seema; Tchetgen, Eric J. Tchetgen
作者单位：University of California System; University of California Berkeley; Johns Hopkins University; Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard T.H. Chan School of Public Health
摘要：Since the early 2000s, evidence has accumulated for a significant differential effect of first-line antiretroviral therapy (ART) regimens on human immunodeficiency virus (HIV) viral load suppression. This finding was replicated in our data from the Harvard President's Emergency Plan for AIDS Relief (PEPFAR) program in Nigeria. Investigators were interested in finding the source of these differences, that is, understanding the mechanisms through which one regimen outperforms another, particular...
