Sentence examples for using a tobit regression from inspiring English sources

Exact(6)

Concentration-discharge relations were used to calculate treated plant effluent and CSO bypass loads using a tobit regression.

Where A level summed tariff score was used as the dependent variable the model was estimated using a Tobit regression using bootstrapped derived standard errors.

In the second stage analysis, we estimated the effect of ownership on the efficiency of hospitals using a Tobit regression model.

It was thus considered appropriate to model the data using a Tobit regression that could accommodate the right-censored nature of the tariff score [ 14] with bootstrapped standard errors that would allow for the moderate departure from normality.

Since the level of CAC was not measurable for the majority of subjects, the associations with the quantitative levels of CAC were assessed using a Tobit regression model [ 8].

Using a Tobit regression approach (Gilbert 1987; Persson and Rootzen 1977; Tobin 1958), the log-likelihood function has the form The first summand derives from the n0 interval measured values and involves the difference of the cumulative distribution function F evaluated at UB and at LB; that is, the probability the measurement lies between the LB and UB.

Similar(54)

First, we used a tobit regression model to test whether the tailored care pathway was effective in reducing the number of days to recovery of physical functioning.

To increase the relevance of the study for management purposes, it would have been useful to undertake a second stage analysis of the factors influencing inefficiency using a Tobit – censored dependent variable model – regression analysis.

This may be achieved by conducting regression analysis of the environmental factors associated with these district hospitals using a Tobit analysis (8, 33) or by exploring these factors through qualitative research (44).

The relation of the exogenous variables with technical efficiency was examined using a Tobit model.

A tobit regression was used to compare standardised UCAS tariff owing to censored nature of measure (maximum z score achievable around 1.27 therefore performance exceeding this could not be observed).

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