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Stata versions 12 and 13

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Stata versions 12 and 13 are data analysis and statistical software packages developed by StataCorp. These versions provide a comprehensive set of tools for data management, analysis, and visualization. Stata 12 and 13 offer a wide range of statistical methods, including regression analysis, time series analysis, and multilevel modeling, among others. These software versions are designed to cater to the needs of researchers, analysts, and professionals across various industries and fields of study.

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4 protocols using stata versions 12 and 13

1

Comparing Psychosocial Adjustment in BCFH+ and BCFH- Girls

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In primary analyses, we compared psychosocial adjustment and behavior outcomes between BCFH+ and BCFH− girls. We used linear or logistic regressions to investigate whether psychosocial adjustment and behavior variables differed by group. We controlled for race/ethnicity in the models because it was the only demographic variable to show meaningful imbalance between the groups. To account for families with >1 daughter, we used robust standard errors that accounted for within-family correlation.61 (link) We used P < .05 as the nominal criterion for statistical significance. Analyses were conducted by using Stata versions 12 and 13 (Statacorp, College Station, TX). We designed the study with 80% power to detect differences using simple linear regressions for standardized effect sizes >0.19, assuming 450 girls per group. For analyses with a subsample of 225 girls in each group (10–13 years old), we designed the study for 80% power to detect differences by group using simple linear regressions for effect sizes >0.26, assuming 2-sided hypothesis tests with a 5% type I error rate. We used pairwise deletion to account for missing data.
Bradbury A.R., Patrick-Miller L., Schwartz L., Egleston B., Sands C.B., Chung W.K., Glendon G., McDonald J.A., Moore C., Rauch P., Tuchman L., Andrulis I.L., Buys S.S., Frost C.J., Keegan T.H., Knight J.A., Terry M.B., John E.M, & Daly M.B. (2015). Psychosocial Adjustment in School-age Girls With a Family History of Breast Cancer. Pediatrics, 136(5), 927-937.
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2

Epidata and Stata Data Analysis

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EpiData v3.1 (The EpiData Association, Odense, Denmark) was used for data entry where necessary. Stata versions 12 and 13 (StataCorp LP, College Station, TX, USA) and Microsoft Excel (Microsoft Corporation) were used for data analysis.
Abeku T.A., Helinski M.E., Kirby M.J., Kefyalew T., Awano T., Batisso E., Tesfaye G., Ssekitooleko J., Nicholas S., Erdmanis L., Nalwoga A., Bass C., Cose S., Assefa A., Kebede Z., Habte T., Katamba V., Nuwa A., Bakeera-Ssali S., Akiror S.C., Kyomuhagi I., Tekalegne A., Magumba G, & Meek S.R. (2015). Monitoring changes in malaria epidemiology and effectiveness of interventions in Ethiopia and Uganda: Beyond Garki Project baseline survey. Malaria Journal, 14, 337.
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3

Ethnicity Analyses of NTD Prevalence

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Over 30% of ethnicity data for NorCAS, CAROBB and CARIS were missing (46%, 38% and 32%, respectively) which precluded use of these registries for ethnicity analysis, as ignoring missing data was shown to introduce bias and imprecision. As ethnicity data were not missing at random, they could not be imputed. Ethnicity data were missing in only 13% and 7% respectively in EMSYCAR and SWCAR, and so analyses of ethnicity effects were conducted using only data from these registries. Univariable explorations of the association between NTD prevalence, maternal age, maternal deprivation and maternal ethnicity were first conducted and then potentially confounding factors: maternal deprivation and maternal age, were added iteratively into a binomial regression model exploring the association between maternal ethnicity and NTD-affected pregnancy prevalence. Data were stratified by NTD sub-type although, due to the small number of encephalocele-affected pregnancies, these were included in analyses of total NTDs, but excluded from sub-type analyses. Data were also stratified by whether or not the NTD was isolated (discussed above). Finally, sensitivity analyses were conducted to explore the impact on the model of removing NTD-affected pregnancies that occurred as part of a multiple set. Stata versions 12 and 13 (StataCorp LLC, USA) were used to clean and analyse the data.
Peake J.N., Knowles R.L., Shawe J., Rankin J, & Copp A.J. (2021). Maternal ethnicity and the prevalence of British pregnancies affected by neural tube defects. Birth defects research, 113(12), 968-980.
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4

Ethnicity Analyses of NTD Prevalence

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Over 30% of ethnicity data for NorCAS, CAROBB and CARIS were missing (46%, 38% and 32%, respectively) which precluded use of these registries for ethnicity analysis, as ignoring missing data was shown to introduce bias and imprecision. As ethnicity data were not missing at random, they could not be imputed. Ethnicity data were missing in only 13% and 7% respectively in EMSYCAR and SWCAR, and so analyses of ethnicity effects were conducted using only data from these registries. Univariable explorations of the association between NTD prevalence, maternal age, maternal deprivation and maternal ethnicity were first conducted and then potentially confounding factors: maternal deprivation and maternal age, were added iteratively into a binomial regression model exploring the association between maternal ethnicity and NTD-affected pregnancy prevalence. Data were stratified by NTD sub-type although, due to the small number of encephalocele-affected pregnancies, these were included in analyses of total NTDs, but excluded from sub-type analyses. Data were also stratified by whether or not the NTD was isolated (discussed above). Finally, sensitivity analyses were conducted to explore the impact on the model of removing NTD-affected pregnancies that occurred as part of a multiple set. Stata versions 12 and 13 (StataCorp LLC, USA) were used to clean and analyse the data.
Peake J.N., Knowles R.L., Shawe J., Rankin J, & Copp A.J. (2021). Maternal ethnicity and the prevalence of British pregnancies affected by neural tube defects. Birth defects research, 113(12), 968-980.
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