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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1810 1
1811 1
1821 1
1832 3
1853 1
1859 1
1861 1
1862 1
1872 1
1887 2
1888 1
1892 1
1893 1
1894 1
1895 1
1896 1
1897 1
1942 3
1943 1
1953 1
1954 1
1962 2
1964 1
1965 4
1966 1
1967 1
1969 1
1970 2
1971 4
1972 3
1974 4
1975 2
1976 4
1977 7
1978 5
1979 11
1980 6
1981 6
1982 12
1983 15
1984 12
1985 12
1986 22
1987 25
1988 34
1989 50
1990 43
1991 45
1992 53
1993 57
1994 77
1995 90
1996 86
1997 88
1998 107
1999 133
2000 150
2001 169
2002 195
2003 197
2004 225
2005 280
2006 277
2007 334
2008 378
2009 365
2010 461
2011 535
2012 568
2013 634
2014 661
2015 733
2016 785
2017 826
2018 848
2019 949
2020 1071
2021 1204
2022 1244
2023 1129
2024 431

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13,556 results

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Page 1
Kalman filtering with censored measurements.
Loumponias K, Tsaklidis G. Loumponias K, et al. J Appl Stat. 2020 Aug 25;49(2):317-335. doi: 10.1080/02664763.2020.1810645. eCollection 2022. J Appl Stat. 2020. PMID: 35707209 Free PMC article.
This paper concerns Kalman filtering when the measurements of the process are censored. The censored measurements are addressed by the Tobit model of Type I and are one-dimensional with two censoring limits, while the (hidden) state vectors are multidimension …
This paper concerns Kalman filtering when the measurements of the process are censored. The censored measurements are addresse …
Left-censored dementia incidences in estimating cohort effects.
Weißbach R, Kim Y, Dörre A, Fink A, Doblhammer G. Weißbach R, et al. Lifetime Data Anal. 2021 Jan;27(1):38-63. doi: 10.1007/s10985-020-09505-1. Epub 2020 Sep 12. Lifetime Data Anal. 2021. PMID: 32918654 Free PMC article.
The main focus of the study is on 11,000 left-censored persons who have already suffered from the disease in 2004. After including the left-censored observations, the slope of the trend declines markedly due to Simpson's paradox, left-censored persons are imb …
The main focus of the study is on 11,000 left-censored persons who have already suffered from the disease in 2004. After including th …
Communication-Censored Distributed Stochastic Gradient Descent.
Li W, Wu Z, Chen T, Li L, Ling Q. Li W, et al. IEEE Trans Neural Netw Learn Syst. 2022 Nov;33(11):6831-6843. doi: 10.1109/TNNLS.2021.3083655. Epub 2022 Oct 27. IEEE Trans Neural Netw Learn Syst. 2022. PMID: 34086584
Different from the existing works based on quantization and sparsification, we introduce a communication-censoring technique to reduce the transmissions of variables, which leads to our communication-censored distributed stochastic gradient descent (CSGD) algorithm. …
Different from the existing works based on quantization and sparsification, we introduce a communication-censoring technique to reduc …
Censored functional data for incomplete follow-up studies.
Strzalkowska-Kominiak E, Romo J. Strzalkowska-Kominiak E, et al. Stat Med. 2021 May 30;40(12):2821-2838. doi: 10.1002/sim.8930. Epub 2021 Mar 9. Stat Med. 2021. PMID: 33687096
In this study, we propose an estimator for the functional mean when the functions may be censored from the right, and thus, only partly observed. Unlike sparse functional data, the censored curves are observed until some (random) time and this censoring time …
In this study, we propose an estimator for the functional mean when the functions may be censored from the right, and thus, only part …
Censored data considerations and analytical approaches for salivary bioscience data.
Ahmadi H, Granger DA, Hamilton KR, Blair C, Riis JL. Ahmadi H, et al. Psychoneuroendocrinology. 2021 Jul;129:105274. doi: 10.1016/j.psyneuen.2021.105274. Epub 2021 May 17. Psychoneuroendocrinology. 2021. PMID: 34030086 Free PMC article.
This study compares descriptive statistics, correlation coefficients, and regression parameter estimates generated via conventional and specialized censored data approaches using salivary C-reactive protein data. We assess differences in statistical estimates across approa …
This study compares descriptive statistics, correlation coefficients, and regression parameter estimates generated via conventional and spec …
Regression with interval-censored covariates: Application to cross-sectional incidence estimation.
Morrison D, Laeyendecker O, Brookmeyer R. Morrison D, et al. Biometrics. 2022 Sep;78(3):908-921. doi: 10.1111/biom.13472. Epub 2021 May 3. Biometrics. 2022. PMID: 33866544 Free PMC article.
A method for generalized linear regression with interval-censored covariates is described, extending previous approaches. A scenario is considered in which an interval-censored covariate of interest is defined as a function of other variables. ...The performance of …
A method for generalized linear regression with interval-censored covariates is described, extending previous approaches. A scenario …
New approaches for censored longitudinal data in joint modelling of longitudinal and survival data, with application to HIV vaccine studies.
Yu T, Wu L, Gilbert P. Yu T, et al. Lifetime Data Anal. 2019 Apr;25(2):229-258. doi: 10.1007/s10985-018-9434-7. Epub 2018 Jun 8. Lifetime Data Anal. 2019. PMID: 29948579 Free PMC article. Review.
The censoring information is important for predicting HIV infection, the failure event of interest. We propose two approaches to addressing left censoring in longitudinal data: one that makes no distributional assumptions for the censored data-treating left …
The censoring information is important for predicting HIV infection, the failure event of interest. We propose two approaches to addr …
A Censored Mixture Model for Modeling Risk Taking.
Dijkstra NFS, Tiemeier H, Figner B, Groenen PJF. Dijkstra NFS, et al. Psychometrika. 2022 Sep;87(3):1103-1129. doi: 10.1007/s11336-021-09839-1. Epub 2022 Feb 10. Psychometrika. 2022. PMID: 35143016 Free PMC article.
First, many experimental risk tasks may end prematurely leading to censored observations. Second, certain outcome values can be more attractive than others. Third, a priori unknown groups of participants can react differently to certain risk-levels. Here, we propose the …
First, many experimental risk tasks may end prematurely leading to censored observations. Second, certain outcome values can be more …
Regression models for interval censored data using parametric pseudo-observations.
Johansen MN, Lundbye-Christensen S, Larsen JM, Parner ET. Johansen MN, et al. BMC Med Res Methodol. 2021 Feb 15;21(1):36. doi: 10.1186/s12874-021-01227-8. BMC Med Res Methodol. 2021. PMID: 33588771 Free PMC article.
For right censored data, non-parametric pseudo-observations have been proposed as a basis for regression modeling with the possibility to use different association measures. ...In this dataset, we have information on exact event times as well as the interval censored …
For right censored data, non-parametric pseudo-observations have been proposed as a basis for regression modeling with the possibilit …
Nonparametric regression with right-censored covariate via conditional density function.
Jiang H, Huang L, Xia Y. Jiang H, et al. Stat Med. 2022 May 20;41(11):2025-2051. doi: 10.1002/sim.9343. Epub 2022 Feb 6. Stat Med. 2022. PMID: 35124839
Censoring often occurs in data collection. This article, considers nonparametric regression when the covariate is censored under general settings. In contrast to censoring in the response variable in survival analysis, regression with censored covariat …
Censoring often occurs in data collection. This article, considers nonparametric regression when the covariate is censored und …
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