Consider
Hello , could someone help me with code to fit the model below:
Y_it denotes i measure at time t
Apha_i is intercept for subject i
X_i denote baseline age
O_i(t) denote positive indicator for subject “i” at time t
D_i(t) denote impairment state ie ‘0’ normal and ‘1’ impaired
Epsilon_it is error term for subject I at time t
DELTA_0 and DELTA_1 are time lags from positivity to influence on slope of cognitive process.
How do I fit this model:
Y_it= Apha_i +Beta_0 *X_i + Beta_1 *t + Beta_2 * O_i*(t- DELTA_0)*t + Beta_3 * D_i *(t- DELTA_1)*t
+ Beta_4*O_i*(t- DELTA_0)* D_i *(t- DELTA_1)*t + Epsilon_it
