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. 2014 Jan 29;9(1):e85602. doi: 10.1371/journal.pone.0085602

Table 2. Partial regression coefficients and robust standard errors for standardized variables in the best model (lowest AIC; Table 1) for the probability that a Magellanic penguin chick died in a storm at Punta Tombo, Argentina, 1983–2010.

Predictor variables Coefficient Robust standard error
Age −3.97 0.60
Age * Rain −3.48 0.53
Age squared * Rain 3.42 0.54
Age squared −2.64 0.51
Age squared * Rain * Low 2.06 0.37
Age squared * Low 1.32 0.25
Rain 1.31 0.23
Intercept −3.24 0.26

We used multiple logistic regression, grouping on nest, with robust standard errors on 2482 chicks in 590 nests with 233 storms. Age = chick age (days) on date of storm (chicks that did not die in a storm were randomly assigned to a storm), Low = low temperature, * indicates interaction terms. Variables were standardized so the coefficient magnitudes indicate their relative strengths.