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The values were estimated using a probit regression model.
In the first step, the probability of participation in each expenditure category is estimated using a probit regression.
The values represent differences in marginal effects between an ex-offender and a non-offender in the probability of receiving a positive response from an employer estimated using a probit regression model.
Binary response data at each vibration amplitude level from each of the 20 subjects were fitted to a cumulative normal distribution using a probit regression model.
The probability of infection given exposure to an amount of spores was modeled by using a probit regression model.
In the first step, the decision to complete an AD was predicted from a number of factors identified in the literature [ 19, 40– 42] including age, gender and quality of life status using a probit regression model.
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To establish the level of difference associated with observable landscape change, we use a probit regression model, coding Google Earth images for properties across the range of observed deviations of difference.
We used a probit regression to model sociodemographic risk factors for HIV status among those who were tested.
Because Mplus uses a probit regression of the item on the factor, it allows for analysis of non-linear relationships [ 28].
First, a reduced form of insurance participation was estimated using a probit model (a first-stage regression).
As an additional test to validate the results presented in Table 2, we repeat the analysis using a probit specification instead of linear regressions.
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