Cause and Correlation in Biology: A User''s Guide to Path Analysis

By Bill Shipley. 2016

1,012 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/021cde9a49f010b5c5ccc00d68622d60eddde5a3

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Citations in the corpus

The origin and spread of innovations in starlings (2008, background): “Shipley 2000 ). Instead, we explored the presence of correlations and the predictive value of association patterns, social rank orders, novelty responses and asocial learning performance with linear regression models.”
Indirect host effect on ectomycorrhizal fungi: Leaf fall and litter quality explain changes in fungal communities on the roots of co-occurring Mediterranean oaks (2010, positive): “…420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 (Shipley, 2000) was used to test for alternative causal models linking the tree (leaf, leaf fall, litter, host identity), soil (topsoil and subsoil)…”
Discovery of meaningful associations in genomic data using partial correlation coefficients (2004, methodology): “The definition of d-separation was originally made by Pearl (Pearl, 2000), while Shipley provides a more accessible explanation ( Shipley, 2002 ).”
The Ecology and Evolution of Alien Plants (2018, positive): “Structural equation modelling (Shipley 2000) offers a potential statistical solution to better separate the direct and indirect drivers of plant invasions.”
Linking root traits to plant physiology and growth in Fraxinus angustifolia Vahl. seedlings under soil compaction conditions (2012, methodology): “To sum up, we tested different causal models using the d-sep method (Shipley, 2000) aiming to describe different causal relationships of the effects of soil compaction (Fig.”
Assessing unidimensionality: A comparison of Rasch modeling, Parallel analysis, and TETRAD (2007, background): “In studying transitions of vegetation, ecologists realize that a location occupied by a species S1 at time t will be replaced by species S2 at time t+1 (Shipley, 2000).”
Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach (2004, background): “Currently ecological applications of SEM are increasing (Iriondo et al., 2003; Shipley, 2000).”
Understorey diversity in southern boreal forests is regulated by productivity and its indirect impacts on resource availability and heterogeneity (2012, background): “Weuse structural equationmodelling (Shipley 2002) to examine and synthesize the various hypothesized linkages.”
Microbial extracellular polysaccharide production and aggregate stability controlled by Switchgrass (Panicum virgatum) root biomass and soil water potential (2019, methodology): “Although path analysis is built for larger sample sizes than we have in our study, it provides conservative fit estimates and is not prone to Type 1 errors (Shipley, 2016).”