Phase I risk-adjusted Bernoulli chart in multistage healthcare processes based on the state-space model

Adaptive risk adjusted exponentially weighted moving average control chart based on accelerated failure time regression

“…where, For the model building, AFT method is used by following the Tighkhorshid et al, 22 such that 𝑌 𝑡 = log(𝑇 𝑡 ) = 𝛽 0 + 𝛽 1 𝑃 1 + 𝜎𝜀 𝑡 (9) where P t represents the personnet score of the t th patient, 𝛽 0 , 𝛽 1 are the two regression coefficients, σ is standard deviation and ԑ t is the error term of survival time distribution. The values of 𝛽 0 = 5.07026, 𝛽 1 = −0.03348 and σ = 0.57 are estimated by using the in-control data set.…”

“…Asadayyoobi and Niaki 8 suggested a monitoring process for continuous surgical outcomes by using a Phase-I risk adjusted accelerated failure time (AFT) regression chart based on a likelihood-ratio test. Sogandi et al 9 proposed a risk adjusted Bernoulli chart for the process of multistage healthcare by using the state-space model with dynamic probability control limits and obtained satisfactory results under different shifts. Ali et al 10 studied to evaluate the effect of risk adjusted EWMA and CUSUM control chart conducted by the estimation error.…”