Cause and correlation in biology

By Bill Shipley. 2000

386 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8464ef90214ff3ec87da6b34d9ad2da1d9798ac1

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Citations in the corpus

Spatially explicit structural equation modeling (2014, methodology): “An alternative approach that could be used to test the spatial causal hypotheses in the path diagram for each lag distance bin is the dseparation (d-sep) test (Shipley 2000a, b, 2012).”
Soil water partitioning contributes to species coexistence in tallgrass prairie (2007, unknown): “Structural equation modeling (SEM), as an alternative to traditional multivariate statistical methodology, uses a hypothesis-testing framework to examine relationships among interacting variables based on prior information about the system (Byrne 1998, Shipley 2000).”
On the specification of structural equation models for ecological systems. (2010, background): “There are a growing number of efforts to adapt SEM to the study of biological problems (Shipley 2000, Pugesek et al. 2003, Grace 2006), including studies of natural selection (Scheiner et al. 2000), life history strategies (Vile et al. 2006), ecological communities (Irwin 2006), genomics (Li et al.…”
Damage to sagebrush attracts predators but this does not reduce herbivory (2007, background): “Path analysis and structural equation modeling techniques can provide inference as to the likelihood and strength of these two causal mechanisms (Mitchell, 1993; Shipley, 2000).”
Structural determinants of leaf light-harvesting capacity and photosynthetic potentials (2006, background): “T is more variable in some cases, and thus more important in driving the differences in M A , while for other species sets, the variation in M A is driven by D (Niinemets 1999b; Shipley 2002 ).”
Advancing the Science and Practice of Fish Kill Investigations (2011, background): “In reality, at best we are able to detect correlations or associations that may indicate a causal link, but they do not prove that such a link exists (Wright, 1921; Shipley, 2000).”
Structural equation modeling: strengths, limitations, and misconceptions. (2005, background): “Indeed, the growing interest in SEM is not limited to psychology but encompasses other social sciences (e.g., Hayduk 1996) and, increasingly, the biological sciences (e.g., Shipley 2000).”
Representing general theoretical concepts in structural equation models: the role of composite variables (2008, background): “Only recently has the capacity for evaluating multivariate hypotheses using the more comprehensive approach known as structural equation modeling (SEM) attracted the interest of ecologists (e.g., Johnson et al. 1991; Mitchell 1992; Pugesek and Tomer 1996; Shipley 2000; Pugesek et al. 2003; Grace 200”
Structural Equation Modeling For Travel Behavior Research (2001, methodology): “Bootstrapping is an alternative for ML estimation with small samples (Shipley, 2000).”
A theory of causal learning in children: causal maps and Bayes nets. (2004, methodology): “…with automated inference procedures, the formalism has been applied to design computer programs that can accurately make causal inferences in a range of scientific contexts, including epidemiology, geology, and biology (Glymour & Cooper, 1999; Ramsey, Roush, Gazis, & Glymour, 2002; Shipley, 2000).”
Soil fertility is associated with fungal and bacterial richness, whereas pH is associated with community composition in polar soil microbial communities (2014, methodology): “Incorporating this spatial dependence requires expansion of the SEM causal framework (Shipley, 2000; Grace, 2006b) to incorporate spatially explicit dependent causal relationships such as the recently proposed spatially-explicit SEM methodology (Lamb et al., 2013).”
Guidelines for a graph-theoretic implementation of structural equation modeling (2012, methodology): “Many of these ideas have yet to be incorporated into general SEM practice, though a few have (Shipley 2000 b , 2003, 2009).”
Impacts of shrub encroachment on ecosystem structure and functioning: towards a global synthesis (2011, methodology): “We employed Structural Equation Modelling (SEM, Shipley 2000) to examine the relationships among our shrub trait database and the two synthetic functional and structure indices.”