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Stata version 12.1 mp

Manufactured by StataCorp

Stata version 12.1 MP is a statistical software package developed by StataCorp. It provides a comprehensive set of tools for data analysis, management, and visualization. Stata 12.1 MP supports multiprocessor capabilities, allowing for faster computations on large datasets.

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Lab products found in correlation

2 protocols using stata version 12.1 mp

1

Occupational Injury Risk Factors in EMS

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Variables of interest are described using mean and standard deviation when normality is present, and with median and interquartile range otherwise. The rate of OSHA reports was calculated as the number of reports per 100 Full-time Equivalent (FTE). An FTE was defined as 2000 hours of work per year.
Multivariable mixed effects logistic models were constructed for hypothesis testing. The fixed effects were specified as hours of work in the previous 7 days, categorical quartile of familiarity of crew on the shift, binary recovery less than 11 hours, continuous number of shifts in the month, and the percentage of work hours occurring between the hours of 10pm and 6am. A random agency effect was implemented to account for the clustering of EMS workers within agencies and a random worker effect to account for the correlation between repeated measures within worker. The analysis was performed using Stata version 12.1 MP, College Station, TX: StataCorp LP.
The primary outcome was the presence/absence of an OSHA reportable occupational injury or illness. A sensitivity analysis was performed to assess changes in the observed associations after excluding reports classified as illness, to explore the possibility that reports of illness may not share the same relationship between exposure and outcome.
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2

Disability and Vietnam War Service

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Within the Vietnam veteran cohort, we used multivariable logistic regression to estimate associations between cumulative disability by the end of follow-up and individual-level characteristics, including age, sex, calendar year of first deployment divided into 2 periods to enable trends to be observed, rank, service branch, and duration of service in Vietnam. Focusing in particular on the association between disability claims and duration of service, we stratified by service branch and estimated odds ratios for duration, categorized as <100, 100–199, 200–364, and ≥365 days, controlling for age, sex, calendar year of first deployment, and rank, respectively. A P-value of <0.05 was deemed to be significant in all analyses. Statistical analyses were undertaken with STATA (version 12.1/MP).
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