Table 2. Open in new tab Statistical... | Oxford Academic

Table 2.

Open in new tab

Statistical models fit in the main text of this paper with a diagram of each model’s causal interpretations. TS, HS, and PD share a causal interpretation as T, H, and P are alternative measures for the same symptom severity construct.

Model name	Causal models	Statistical models
Intercept		$S_{i} \sim β_{0}$
Total severity (TS)		$S_{i} \sim β_{0} + β_{T} T_{i}$
High severity (HS)		$S_{i} \sim β_{0} + β_{H} H_{i}$
Provisional diagnosis (PD)		$S_{i} \sim β_{0} + β_{P} P_{i}$
Depressive symptoms (DS)		$S_{i} \sim β_{0} + β_{D} D_{i}$
Learning & reacting severity (LRS)		$S_{i} \sim β_{0} + β_{L} L_{i}$
Age		$S_{i} \sim β_{0} + β_{α} A_{i}$
Total severity + age (TS + age)		$S_{i} \sim β_{0} + β_{T} T_{i} + β_{α} A_{i}$
High severity + age (HS + age)		$S_{i} \sim β_{0} + β_{H} H_{i} + β_{α} A_{i}$
Provisional diagnosis + age (PD + age)		$S_{i} \sim β_{0} + β_{P} P_{i} + β_{α} A_{i}$
Depressive severity + age (DS + age)		$S_{i} \sim β_{0} + β_{D} D_{i} + β_{α} A_{i}$
Learning & reacting severity + age (LRS + age)		$S_{i} \sim β_{0} + β_{L R} L_{i} + β_{α} A_{i}$

Model name	Causal models	Statistical models
Intercept		$S_{i} \sim β_{0}$
Total severity (TS)		$S_{i} \sim β_{0} + β_{T} T_{i}$
High severity (HS)		$S_{i} \sim β_{0} + β_{H} H_{i}$
Provisional diagnosis (PD)		$S_{i} \sim β_{0} + β_{P} P_{i}$
Depressive symptoms (DS)		$S_{i} \sim β_{0} + β_{D} D_{i}$
Learning & reacting severity (LRS)		$S_{i} \sim β_{0} + β_{L} L_{i}$
Age		$S_{i} \sim β_{0} + β_{α} A_{i}$
Total severity + age (TS + age)		$S_{i} \sim β_{0} + β_{T} T_{i} + β_{α} A_{i}$
High severity + age (HS + age)		$S_{i} \sim β_{0} + β_{H} H_{i} + β_{α} A_{i}$
Provisional diagnosis + age (PD + age)		$S_{i} \sim β_{0} + β_{P} P_{i} + β_{α} A_{i}$
Depressive severity + age (DS + age)		$S_{i} \sim β_{0} + β_{D} D_{i} + β_{α} A_{i}$
Learning & reacting severity + age (LRS + age)		$S_{i} \sim β_{0} + β_{L R} L_{i} + β_{α} A_{i}$

Table 2.

Open in new tab

Statistical models fit in the main text of this paper with a diagram of each model’s causal interpretations. TS, HS, and PD share a causal interpretation as T, H, and P are alternative measures for the same symptom severity construct.

Model name	Causal models	Statistical models
Intercept		$S_{i} \sim β_{0}$
Total severity (TS)		$S_{i} \sim β_{0} + β_{T} T_{i}$
High severity (HS)		$S_{i} \sim β_{0} + β_{H} H_{i}$
Provisional diagnosis (PD)		$S_{i} \sim β_{0} + β_{P} P_{i}$
Depressive symptoms (DS)		$S_{i} \sim β_{0} + β_{D} D_{i}$
Learning & reacting severity (LRS)		$S_{i} \sim β_{0} + β_{L} L_{i}$
Age		$S_{i} \sim β_{0} + β_{α} A_{i}$
Total severity + age (TS + age)		$S_{i} \sim β_{0} + β_{T} T_{i} + β_{α} A_{i}$
High severity + age (HS + age)		$S_{i} \sim β_{0} + β_{H} H_{i} + β_{α} A_{i}$
Provisional diagnosis + age (PD + age)		$S_{i} \sim β_{0} + β_{P} P_{i} + β_{α} A_{i}$
Depressive severity + age (DS + age)		$S_{i} \sim β_{0} + β_{D} D_{i} + β_{α} A_{i}$
Learning & reacting severity + age (LRS + age)		$S_{i} \sim β_{0} + β_{L R} L_{i} + β_{α} A_{i}$

Model name	Causal models	Statistical models
Intercept		$S_{i} \sim β_{0}$
Total severity (TS)		$S_{i} \sim β_{0} + β_{T} T_{i}$
High severity (HS)		$S_{i} \sim β_{0} + β_{H} H_{i}$
Provisional diagnosis (PD)		$S_{i} \sim β_{0} + β_{P} P_{i}$
Depressive symptoms (DS)		$S_{i} \sim β_{0} + β_{D} D_{i}$
Learning & reacting severity (LRS)		$S_{i} \sim β_{0} + β_{L} L_{i}$
Age		$S_{i} \sim β_{0} + β_{α} A_{i}$
Total severity + age (TS + age)		$S_{i} \sim β_{0} + β_{T} T_{i} + β_{α} A_{i}$
High severity + age (HS + age)		$S_{i} \sim β_{0} + β_{H} H_{i} + β_{α} A_{i}$
Provisional diagnosis + age (PD + age)		$S_{i} \sim β_{0} + β_{P} P_{i} + β_{α} A_{i}$
Depressive severity + age (DS + age)		$S_{i} \sim β_{0} + β_{D} D_{i} + β_{α} A_{i}$
Learning & reacting severity + age (LRS + age)		$S_{i} \sim β_{0} + β_{L R} L_{i} + β_{α} A_{i}$