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Neonatal Mortality by Gestational Age and Birth Weight in Italy, 1998-2003: A Record Linkage Study

100%

Marini C. , Nuccitelli A.

Statistics in Transition new series

2011

tom 12

nr 1

207-222

Neonatal mortality rates by gestational age and birth weight category are important indicators of maternal and child health and care quality. However, due to recent laws on administrative simplification and privacy, these specific rates have not been calculated in Italy since 1999. The main aim of this work is to assess the possibility of retrieving information on neonatal mortality by the linkage between records related to live births and records related to infant deaths within the first month of life, with reference to 2003 and 2004 birth cohorts. From a strict methodological point of view, some critical aspects of the most used record linkage approach are highlighted: specific problems may arise from the choice of records to be linked if there are consistency constraints between pairs (in this context, one death record can be linked to at most one birth record). In the light of considerations on the quality of the starting data, the retrieval of information on neonatal mortality by gestational age and birth weight is restricted to Northern Italy. Specific neonatal mortality rates are provided with reference to 2003 and discussed with particular emphasis on quality issues in the data collection processes.

Využití administrativních dat v oblasti vynucování práva pro analýzy aplikující statistické modely využívající informace o čase: příklad drogových politik

63%

Petruželka B.

nr 1-2

1-21

Criminologists try to understand the nature of various changes, such as what leads to changes in crime. One of the shortcomings of criminology, especially in a Czech context, is the underdeveloped field of statistical modeling based on time-specific information. The aim of this article is to discuss the possibilities and limits of administrative data in the field of law enforcement while applying statistical models using time-specific information. Selected methods based on the use of data containing time-specific information, through the application of time series analysis, are presented: ARIMA models and structural change models. Furthermore, examples of such analyses are provided and a theoretical framework which facilitates the use of time series models is outlined. In addition, the availability of the data needed for such analyses is assessed.