All regressions control for age (a dummy variable for each year of age), period of arrival and age at arrival, PMSA unemployment rate, average real wage of second generation Mexicans (by age, education, destination, gender, and year of observation), PMSA and year of observation effects.
Chi- squared tests were used to compare groups on diagnosis, discharge destination, gender and time of admission.
3) Continuous variables 4) Imputation of missing data for later inserted question using the pattern of gender, destination continent and education variables.
For the multiple logistic regression analysis only, the later inserted question referring to TD-independent fever was analysed by imputing with organising the missing data using the pattern of gender, destination continent and education.
You can also search for travel partners by age, gender and destination.
The consumption habits of drugs and at-risk alcohol intake (8 standard drinks (SD) per week for women and 15 SD for men) was analyzed according to gender, sex, destination and profession.
Single imputation by regression imputes for cases with missing values on a variable instead of mean values of this variable function values for this variable out of a regression equation with the following independent variables: education, gender and destination.
Age, gender ratio, destinations, duration of travel, and hospitalization rates were similar to those of recent studies (3, 7, 8 ).
Only migrants that have left the country after 2000 are captured by the survey, and basic data such as age, gender, education, and destination country are available.
All regressions control for individual fixed effects, age (a dummy variable for each year of age), education, whether married, whether citizen, industry of work, average real wage of second generation Mexicans (by age, education, destination, year of observation and gender), year of observation, and PMSA unemployment rate.
