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

Year Number of Results
1964 1
1978 1
1981 1
1982 2
1983 2
1984 1
1985 1
1987 4
1988 3
1989 68
1990 202
1991 341
1992 609
1993 697
1994 1132
1995 1444
1996 1777
1997 2275
1998 2242
1999 2530
2000 2744
2001 3429
2002 3313
2003 3788
2004 4115
2005 4160
2006 4320
2007 4970
2008 6148
2009 7225
2010 8745
2011 10024
2012 11877
2013 11537
2014 9923
2015 10582
2016 11220
2017 11049
2018 9011
2019 3945
2020 38
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136,243 results
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Page 1
Mediation Analysis: A Practitioner's Guide.
VanderWeele TJ. Annu Rev Public Health 2016 - Review. PMID 26653405
This article provides an overview of recent developments in mediation analysis, that is, analyses used to assess the relative magnitude of different pathways and mechanisms by which an exposure may affect an outcome. ...Methods from the causal inference literature to conduct mediation in the presence of exposure-mediator interactions, binary outcomes, binary mediators, and case-control study designs are presented. ...
This article provides an overview of recent developments in mediation analysis, that is, analyses used to assess the relative magn
Guidelines for accurate EC50/IC50 estimation
Sebaugh JL. Pharm Stat 2011. PMID 22328315
The relative EC50/IC50 is the parameter c in the 4-parameter logistic model and is the concentration corresponding to a response midway between the estimates of the lower and upper plateaus. ...Assays for which there is no stable 100% control must use the relative EC50/IC50. Assays having a stable 100% control but for which there may be more than 5% error in the estimate of the 50% control mean should use the relative EC50/IC50. ...
The relative EC50/IC50 is the parameter c in the 4-parameter logistic model and is the concentration corresponding to a respon …
Logistic regression: a brief primer.
Stoltzfus JC. Acad Emerg Med 2011. PMID 21996075 Free article.
Basic assumptions that must be met for logistic regression include independence of errors, linearity in the logit for continuous variables, absence of multicollinearity, and lack of strongly influential outliers. ...The resulting logistic regression model's overall fit to the sample data is assessed using various goodness-of-fit measures, with better fit characterized by a smaller difference between observed and model-predicted values. ...
Basic assumptions that must be met for logistic regression include independence of errors, linearity in the logit for c …
Ordinal logistic regression.
Koletsi D and Pandis N. Am J Orthod Dentofacial Orthop 2018. PMID 29287643
Summary Measures of Predictive Power Associated with Logistic Regression Models of Disease Risk.
Hughes G, et al. Phytopathology 2019. Among authors: McRoberts N. PMID 30543490
A number of R(2)-analogues are available as summary measures of predictive power associated with logistic regression models, including models of disease risk. ...This clarifies their interpretation in the context of evaluation of logistic regression models of disease risk. In addition, versions of both Tjur's R(2) and McFadden's R(2) may be obtained from analyses of disease risk that are not preceded by logistic regression analysis. ...
A number of R(2)-analogues are available as summary measures of predictive power associated with logistic regression models
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