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Exact(7)
We could be seeing a new 4 GB model, with entry point prices hovering around $49.
We base our analysis on the mean-variance expected utility model with entry costs.
Hopenhayn and Rogerson (1993), using a general equilibrium model with entry and exit of firms, show that a tax on job destruction can reduce employment rate significantly.
Using an analytically tractable model with entry and exit, we show that reducing entry cost will increase average firm productivity by encouraging more entries of firms, whereas reducing overhead cost will decrease it by adversely lowering the selection standard.
Models were identified by a multilevel random-intercept model with entry and exit criteria of p = 0.05 and p = 0.10, respectively.
We started each model with entry variables of: age, sex, years of education, MMSE, MOCA, NART, letter and category fluency UPDRS-III, LEDD and duration of disease.
Similar(53)
Age was used as the primary time variable in the models with entry time defined as age at recruitment and exit time as age at diagnosis, age at death, or age at end of follow-up, whichever came first.
Age was used as the primary time-dependent variable in all models, with entry time defined as the participant's age at recruitment, and exit time as the date of diagnosis, death or return of the last follow-up questionnaire.
Age was included as the underlying timescale in Cox models, with entry time defined as age at recruitment and exit time as age at type 2 diabetes incidence, death or censoring at the end of follow-up, whichever came first.
Age was included as the underlying timescale in the Cox models, with entry time defined as age at recruitment and exit time as age at diagnosis of diabetes, death, loss to follow-up or censoring at the end of follow-up, whichever came first.
Age was used as the primary time dependent variable in all models, with entry time defined as the subject's age at recruitment and exit time as the date of diagnosis of diabetes, death, or return of the last follow-up questionnaire.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com