To test the significance of the difference between the current ABC (i.e. DTC) model versus the FL-TDABC model and the TDABC model using standard times, two one sample t-tests were conducted. The two values concerning FL-TDABC and TDABC, obtained from the standardized, average care path and therefore considered as average total costs, were compared with the mean costs of the ABC (i.e. DTC) estimate as mentioned in the previous paragraph. The FL-TDABC and TDABC values are compared with the ABC (i.e. DTC) value, since the ABC method underlies the current costing application in the Dutch healthcare system. Because samples sizes were large and therefore the central limit theorem holds, parametric tests were conducted. Stata/SE 15 for Windows (StataCorp LLC, College Station, TX, USA) was used to perform the statistical analysis and an alpha level of 5% was considered as statistically significant.
Stata se 15 for windows
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Stata/SE 15 for Windows is a comprehensive data analysis software package that provides a wide range of statistical tools and functions. It offers powerful data management, analysis, and visualization capabilities, catering to the needs of researchers, analysts, and professionals across various fields.
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Lab products found in correlation
4 protocols using stata se 15 for windows
1
Comparing Costing Models in Healthcare
2
Maternal GDM Treatment and Offspring Outcomes
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Descriptive analysis was used to examine the characteristics of offspring not exposed to GDM, OGDM-Lifestyle, OGDM-Insulin and OGDM-Metformin. Categorical variables were presented as frequencies and percentages. Continuous variables were tested for normality and presented as mean and standard deviation (SD).
We used linear regression to explore the relationships between maternal GDM treatment and offspring birth weight, head, mid-arm and abdominal circumference, and subscapular and triceps skinfold thickness. We assessed these relationships firstly in a whole sample analysis by comparing OGDM-Lifestyle, OGDM-Insulin and OGDM-Metformin to offspring not exposed to GDM. Secondly, in a subsample analysis of OGDM, OGDM-Metformin were compared to OGDM-Insulin. For both analyses we built unadjusted and adjusted models for each outcome.
Lastly, we performed sensitivity analyses. We reproduced the whole sample analysis: (i) in participants with complete data on each outcome, exposure and confounding variable, (ii) stratified by ethnicity, (iii) stratified by route of birth and (iv), in the period after metformin introduction.
Analyses were conducted using Stata/SE software (Stata/SE 15 for Windows; StataCorp, College Station, TX, USA).
We used linear regression to explore the relationships between maternal GDM treatment and offspring birth weight, head, mid-arm and abdominal circumference, and subscapular and triceps skinfold thickness. We assessed these relationships firstly in a whole sample analysis by comparing OGDM-Lifestyle, OGDM-Insulin and OGDM-Metformin to offspring not exposed to GDM. Secondly, in a subsample analysis of OGDM, OGDM-Metformin were compared to OGDM-Insulin. For both analyses we built unadjusted and adjusted models for each outcome.
Lastly, we performed sensitivity analyses. We reproduced the whole sample analysis: (i) in participants with complete data on each outcome, exposure and confounding variable, (ii) stratified by ethnicity, (iii) stratified by route of birth and (iv), in the period after metformin introduction.
Analyses were conducted using Stata/SE software (Stata/SE 15 for Windows; StataCorp, College Station, TX, USA).
3
Stata Software for Data Analysis
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All analyses were conducted using Stata/SE software (Stata/SE 15 for Windows; StataCorp).
4
Analyzing Racetrack Earnings Pre- and Post-Surgery
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Race earnings for the last three races presurgery and for the first three races postsurgery were compared by using a Wilcoxon signed‐rank test. This nonparametric test was selected because the data were not normally distributed, the sample was small, and the test would incorporate the magnitude of the differences in earning. When a horse did not race either pre‐surgery or post‐surgery, it was excluded from the statistical analysis. When a horse registered in a race but did not earn any money, a zero was given as race earning value. Statistical significance was set at P < .05, and the statistical analysis was conducted in Stata SE/15 for Windows (StataCorp, College Station, Texas).
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