Table 1.

Model selection statistics (multistate approach) for semi-annual survival (Φ), recapture (p) and state-transition (ψ) probabilities of M. murinus depending on hair cortisol concentration and general body condition (measured as scaled mass index)

Rank	Model	K	QDEV	QAICc	Δi	w i
Hair cortisol concentration (categorization cut-off: median)
1	$\mathit{\Phi }\left(c\right)p\left(t\right)\mathit{\psi }\left(c\right)$	8	200.78	515.10	0	0.147
2	$\mathit{\Phi }\left(s\right)p\left(t\right)\mathit{\psi }\left(c\right)$	8	201.90	516.23	1.13	0.142
3	$\mathit{\Phi }\left(c+s\right)p\left(t\right)\mathit{\psi }\left(c\right)$	9	199.96	516.44	1.34	0.126
4	$\mathit{\Phi }\left(c\right)p\left(·\right)\mathit{\psi }\left(c\right)$	5	208.91	516.88	1.77	0.120
53	$\mathit{\Phi }\left(c\ast s+t\right)p\left(s+t\right)\mathit{\psi }\left(c\ast t\right)$	20	192.77	534.29	19.19	0.0001
Hair cortisol concentration (categorization cut-off: third quartile)
1	$\mathit{\Phi }\left(c\right)p\left(t\right)\mathit{\psi }\left(c\right)$	8	146.94	465.86	0	0.230
2	$\mathit{\Phi }\left(c+s\right)p\left(t\right)\mathit{\psi }\left(c\right)$	9	146.08	467.16	1.30	0.120
3	$\mathit{\Phi }\left(c\right)p\left(·\right)\mathit{\psi }\left(c\right)$	5	154.75	467.31	1.45	0.111
4	$\mathit{\Phi }\left(s\right)p\left(t\right)\mathit{\psi }\left(c\right)$	8	148.66	467.59	1.73	0.097
54	$\mathit{\Phi }\left(c\ast s+t\right)p\left(s+t\right)\mathit{\psi }\left(c\ast t\right)$	20	138.21	484.33	18.47	0.00002
Scaled mass index (categorization cut-off: median)
1	$\mathit{\Phi }\left(s\right)p\left(t\right)\mathit{\psi }\left(c\right)$	7	114.35	330.82	0	0.272
2	$\mathit{\Phi }\left(c\right)p\left(t\right)\mathit{\psi }\left(c\right)$	7	115.43	331.90	1.08	0.158
54	$\mathit{\Phi }\left(c\ast s+t\right)p\left(s+t\right)\mathit{\psi }\left(c\ast t\right)$	16	109.73	346.67	15.85	0.0004
Scaled mass index (categorization cut-off: third quartile)
1	$\mathit{\Phi }\left(c\right)p\left(t\right)\mathit{\psi }\left(c\right)$	7	102.53	323.87	0	0.229
2	$\mathit{\Phi }\left(c+s\right)p\left(t\right)\mathit{\psi }\left(c\right)$	8	101.34	324.85	0.99	0.140
3	$\mathit{\Phi }\left(s\right)p\left(t\right)\mathit{\psi }\left(c\right)$	7	103.72	325.06	1.19	0.127
4	$\mathit{\Phi }\left(c\right)p\left(s+t\right)\mathit{\psi }\left(c\right)$	8	102.03	325.55	1.68	0.099
54	$\mathit{\Phi }\left(c\ast s+t\right)p\left(s+t\right)\mathit{\psi }\left(c\ast t\right)$	16	96.91	338.72	14.85	0.0001

Only models with Δ_i ≤ 2 and the global model (in italic) are shown here with the number of parameters (K), the quasi-likelihood adjusted deviance (QDEV), the quasi-likelihood adjusted AIC for small sample size (QAICc), the difference between the QAICc of the top model and a given model i (Δ_i ) and the Akaike weights (w _i). Variables considered are the condition index (c, which can indicate HCC or SMI values), sex (s) and time (t). Constant parameters are noted (.). Interactions are indicated by (*) and additive effects by (+)