NICHD – Glotech
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GLOTECH provides the National Institute of Child Health and Human Development (NICHD) with a variety of data analysis and statistical programming support services in the Division of Epidemiology, Statistics, and Prevention Research Branch (DESPR). The project requires the use of various statistical programs including SAS, SPSS, R, Stata, and M-Plus and graphics packages SAS-Graph, S-Plus and Harvard Graphics. GLOTECH uses this software to support the evaluation of clinical trial data, case control studies, statistical survey data, implementation of biostatistical and epidemiological programs and other applications as required to support the investigators within NICHD.

DESPR conducts epidemiological and biostatistical research of disorders of reproduction including infertility, high-risk pregnancies, fetal and neonatal loss, infant and childhood injury, infant mortality and birth defects, and developmental disorders of childhood, including mental retardation and other deviations of normal human growth and development. Limited examples typical of epidemiological studies are: a) evaluation of various aspects of clinical trial data collected from multi-site data coordinating centers, b) large scale case control or prospective cohort studies, c) development of statistical and epidemiological methodology, and d) implementing biostatistical and epidemiological support programs for evaluating data generated from projects carried out by the Division. Some projects require expertise in information retrieval and data entry; others require the application of analytical software for data organization, maintenance and analysis.

GLOTECH provides NICHD with data analysis and statistical programming support to complete their research. Some of the current workload includes: Endometriosis: Natural History, Diagnosis, and Outcomes, Metabolic Syndrome in Children and Adolescents, NICHD-Irish neural tube defects study, Declining sperm count; autopsy study, Determinants of fecundity, fertility, and early pregnancy loss, Longitudinal data analysis with growth dynamics and modeling, Categorical data analysis with confidence intervals of odds ratios, Multiple comparisons, Young drivers intervention study (Checkpoints), Violence prevention among high-risk youth, Computerized injury risk assessment and tailored feedback on home injury risks, and Transition of diabetes management from parent to child.

The major elements of work performed in support of this agency are:

  • Statistical Programming
  • Database management and file handling
  • Web programming
  • Data Entry
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