<p>The estimated values of the univariate model coefficient for depressive mood scores are shown in a colored matrix form consisting of 25 rows (different locations) and 12 columns (different sizes). Each grid cell indicates some specific location and size of a time frame used for calculating the local statistics of locomotor activity. A color in each cell represents the value of the model coefficient (γ<sub>10</sub>) of the predictors: (a) Mean, (b) Skewness, and (c) Detrended skewness. False discovery rate with a <i>q</i> value of 0.05 was used as the multiple comparison adjustment. Only significant cases are shown by colors. Color bars indicate the value of the model coefficient. Note that the univariate model used for the analysis is as...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Results of univariate linear regression analyses for predicting depressive symptoms, emotion dysregu...
Results from logistic regression models assessing associations between depression measures and types...
<p>The estimate of the model coefficient of the predictor: (a) Mean (γ<sub>10</sub>) and (c) Detrend...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Longitudinal linear multiple regression models to predict depressive and anxiety symptoms at T2, wit...
<p>Abbreviations: 5HT1a, Serotonin 1A receptor; 5HTTLPR, serotonin transporter gene-linked polymorph...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Results of univariate linear regression analyses for predicting depressive symptoms, emotion dysregu...
Results from logistic regression models assessing associations between depression measures and types...
<p>The estimate of the model coefficient of the predictor: (a) Mean (γ<sub>10</sub>) and (c) Detrend...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Background. It has recently been proposed that major depression disorder (MDD) may, in a heterogeneo...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Longitudinal linear multiple regression models to predict depressive and anxiety symptoms at T2, wit...
<p>Abbreviations: 5HT1a, Serotonin 1A receptor; 5HTTLPR, serotonin transporter gene-linked polymorph...
Context: Mathematical models describing changes in mood in affective disorders may assist in the ide...
Results of univariate linear regression analyses for predicting depressive symptoms, emotion dysregu...
Results from logistic regression models assessing associations between depression measures and types...