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

Year Number of Results
1945 12
1946 45
1947 60
1948 65
1949 66
1950 49
1951 53
1952 61
1953 42
1954 63
1955 69
1956 75
1957 77
1958 82
1959 84
1960 73
1961 84
1962 75
1963 68
1964 50
1965 47
1966 1
1967 4
1968 4
1969 2
1970 11
1971 21
1972 95
1973 479
1974 556
1975 336
1976 318
1977 293
1978 295
1979 366
1980 411
1981 481
1982 552
1983 574
1984 721
1985 751
1986 954
1987 894
1988 1198
1989 1814
1990 3162
1991 3764
1992 4369
1993 4898
1994 5749
1995 6526
1996 7289
1997 8466
1998 8472
1999 8868
2000 9440
2001 10388
2002 10249
2003 11278
2004 12308
2005 13094
2006 13617
2007 15236
2008 18032
2009 21517
2010 24928
2011 27689
2012 31330
2013 30906
2014 27396
2015 28144
2016 29004
2017 28217
2018 22963
2019 10228
2020 181
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416,687 results
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Page 1
Regression analysis.
Lewis S. Pract Neurol 2007 - Review. PMID 17636142
[Overview of multivariate regression model analysis and application].
Yu SC, et al. Zhonghua Yu Fang Yi Xue Za Zhi 2019 - Review. PMID 30841679 Chinese.
Analyses of the multivariate regression model are ued very widely in the medical research. Analytical methods of the mutivariate regression model including multiple linear regression, logistic regression, Poisson regression and Cox proportional hazard model were introduced in this article. The contents of the article covered the application conditions of regression models, analytical procedures, strategies of selecting independent variables, extended discussions of regression models and application notes. ...
Analyses of the multivariate regression model are ued very widely in the medical research. Analytical methods of the mutivariate r
Relationship between PM(10) and PM(2.5) levels in high-traffic area determined using path analysis and linear regression.
Sahanavin N, et al. J Environ Sci (China) 2018. PMID 29941245
The model validation results indicated that for open areas, the R(2) values were not very different between the path analysis and the linear regression model, but that the path analysis was more accurate than the linear regression model at very low PM concentrations. At high PM concentrations, the path analysis model also had a better fit than did the linear regression, so the predictions from the path analysis model were more accurate than those from the linear regression....
The model validation results indicated that for open areas, the R(2) values were not very different between the path analysis and the linear …
Regression analysis of current status data with auxiliary covariates and informative observation times.
Feng Y and Chen Y. Lifetime Data Anal 2018. PMID 28058569
This paper discusses regression analysis of current status failure time data with information observations and continuous auxiliary covariates. Under the additive hazards model, we employ a frailty model to describe the relationship between the failure time of interest and censoring time through some latent variables and propose an estimated partial likelihood estimator of regression parameters that makes use of the available auxiliary information. ...
This paper discusses regression analysis of current status failure time data with information observations and continuous auxiliary c …
Regression analysis and multivariate analysis.
Duleba AJ and Olive DL. Semin Reprod Endocrinol 1996 - Review. PMID 8796937
This overview of regression analysis and multivariate statistics describes general concepts. Basic definitions and conventions are reviewed. The types of regression analysis are then discussed, including simple regression, multiple regression, multivariate multiple regression, and logistic regression. ...
This overview of regression analysis and multivariate statistics describes general concepts. Basic definitions and conventions are re …
Verbal Probabilities: Linear or Logistic? - A Regression Analysis Approach.
Ostermann T, et al. Stud Health Technol Inform 2018. PMID 30147054
We aimed at contributing to answering these questions by means of a comparative regression analysis based on a sample of N=683 participants between 10 and 82 years (mean age 20.33±11.77; median: 18 years) who were asked to numerically rate a given set of sixteen verbal probability phrases on a visual analogue scale. ...Although we were able to show that ranked verbal phrases are more likely to behave in a linear that in a logistic way other regression options like the double logistic model should be taken into consideration for further research....
We aimed at contributing to answering these questions by means of a comparative regression analysis based on a sample of N=683 partic …
Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio.
Barros AJ and Hirakata VN. BMC Med Res Methodol 2003. PMID 14567763 Free PMC article.
METHODS: We compared Cox regression with constant time at risk, Poisson regression and log-binomial regression against the standard Mantel-Haenszel estimators. ...Unadjusted Cox/Poisson regression and Poisson regression with scale parameter adjusted by deviance performed worst in terms of interval estimates. ...
METHODS: We compared Cox regression with constant time at risk, Poisson regression and log-binomial regression against …
A menu-driven software package of Bayesian nonparametric (and parametric) mixed models for regression analysis and density estimation.
Karabatsos G. Behav Res Methods 2017. PMID 26956682
Most of applied statistics involves regression analysis of data. In practice, it is important to specify a regression model that has minimal assumptions which are not violated by data, to ensure that statistical inferences from the model are informative and not misleading. ...The software is illustrated through the BNP regression analysis of real data....
Most of applied statistics involves regression analysis of data. In practice, it is important to specify a regression model th …
416,687 results
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