64 resultados para full-sib families
em Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States
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This report is Iowa’s Three-Year Plan, which serves as the application for federal Juvenile Justice and Delinquency Prevention Act formula grant funding (JJDP Act). The Division of Criminal and Juvenile Justice Planning (CJJP) wrote Iowa’s Three-Year Plan. CJJP is the state agency responsible for administering the JJDP Act in Iowa. Federal officials refer to state administering agencies as the state planning agency (SPA). The Plan was developed and approved by Iowa’s Juvenile Justice Advisory Council. That Council assists with administration of the JJDP Act, and also provides guidance and direction to the SPA, the Governor and the legislature regarding juvenile justice issues in Iowa. Federal officials refer to such state level groups as state advisory groups (SAG’s). The acronyms SPA and SAG are used through this report.
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Report submitted by the Iowa Department of Natural Resources and the Iowa Department of Transportation to the General Assembly as required by Senate File 458, section 152, passed by the 2003 General Assembly and signed May 30, 2003.
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Other Audit Reports - Special Investigation
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Federal Fair Housing Amendments Act was passed in 1988, making it illegal to refuse to rent or sell property to families because they have children. In 1992, the Iowa Civil Rights Act was amended to also prohibit discrimination against families with children.
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Iowa Commission on the Status of Women: 35th Annual Report - 2006 The ICSW is proud of the past year’s achievements, and pleased to present to you our 35th Annual Report. The following pages detail the activities and programs that were carried out in 2006. The ICSW celebrates the progress in women’s rights that has been made in Iowa, and continues to address inequities, advocating for full participation by women in the economic, social, and political life of the state. In this advocacy role, as mandated by the Code of Iowa, we educate, inform, and develop new ideas to bring a fresh viewpoint to bear on the issues facing Iowa women and their families.
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The two volume record of the debates that occured during the thirty-nine days it took to draft the third constitution of the State of Iowa.
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A brochure describing how a family may request an autopsy from the Iowa Office of the State Medical Examiner.
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This safety checklist is designed to help you protect your children and everyone else in the family, from unintentional injuries. It is designed to be an easy, room-by-room survey that will quickly point out possible dangers. When you find a hazardous situation, change it – NOW!! Of course, no checklist will identify all the possible dangers, so use this process to look for other hazards. After you have read through the listed items for a room take a few minutes to look at the room from the view-point of a child.
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Traffic safety engineers are among the early adopters of Bayesian statistical tools for analyzing crash data. As in many other areas of application, empirical Bayes methods were their first choice, perhaps because they represent an intuitively appealing, yet relatively easy to implement alternative to purely classical approaches. With the enormous progress in numerical methods made in recent years and with the availability of free, easy to use software that permits implementing a fully Bayesian approach, however, there is now ample justification to progress towards fully Bayesian analyses of crash data. The fully Bayesian approach, in particular as implemented via multi-level hierarchical models, has many advantages over the empirical Bayes approach. In a full Bayesian analysis, prior information and all available data are seamlessly integrated into posterior distributions on which practitioners can base their inferences. All uncertainties are thus accounted for in the analyses and there is no need to pre-process data to obtain Safety Performance Functions and other such prior estimates of the effect of covariates on the outcome of interest. In this slight, fully Bayesian methods may well be less costly to implement and may result in safety estimates with more realistic standard errors. In this manuscript, we present the full Bayesian approach to analyzing traffic safety data and focus on highlighting the differences between the empirical Bayes and the full Bayes approaches. We use an illustrative example to discuss a step-by-step Bayesian analysis of the data and to show some of the types of inferences that are possible within the full Bayesian framework.
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Traffic safety engineers are among the early adopters of Bayesian statistical tools for analyzing crash data. As in many other areas of application, empirical Bayes methods were their first choice, perhaps because they represent an intuitively appealing, yet relatively easy to implement alternative to purely classical approaches. With the enormous progress in numerical methods made in recent years and with the availability of free, easy to use software that permits implementing a fully Bayesian approach, however, there is now ample justification to progress towards fully Bayesian analyses of crash data. The fully Bayesian approach, in particular as implemented via multi-level hierarchical models, has many advantages over the empirical Bayes approach. In a full Bayesian analysis, prior information and all available data are seamlessly integrated into posterior distributions on which practitioners can base their inferences. All uncertainties are thus accounted for in the analyses and there is no need to pre-process data to obtain Safety Performance Functions and other such prior estimates of the effect of covariates on the outcome of interest. In this light, fully Bayesian methods may well be less costly to implement and may result in safety estimates with more realistic standard errors. In this manuscript, we present the full Bayesian approach to analyzing traffic safety data and focus on highlighting the differences between the empirical Bayes and the full Bayes approaches. We use an illustrative example to discuss a step-by-step Bayesian analysis of the data and to show some of the types of inferences that are possible within the full Bayesian framework.
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What’s wrong with this advertisement? This wording used to be very familiar in our daily newspaper ads. But the federal Fair Housing Amendments Act was passed in 1988, making it illegal to refuse to rent or sell property to families because they have children. In 1992, the Iowa Civil Rights Act was amended to also prohibit discrimination against families with children. The law defines a family with children as follows: One or more individuals under the age of 18 living with a parent, or with a person having legal custody A designee of such parent or legal guardian Persons who are expecting a baby or who are seeking legal custody of a child.
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This report is Iowa’s Three-Year Plan, which serves as the application for federal Juvenile Justice and Delinquency Prevention Act formula grant funding (JJDP Act). The Division of Criminal and Juvenile Justice Planning (CJJP) wrote Iowa’s Three-Year Plan. CJJP is the state agency responsible for administering the JJDP Act in Iowa. Federal officials refer to state administering agencies as the state planning agency (SPA). The Plan was developed and approved by Iowa’s Juvenile Justice Advisory Council. That Council assists with administration of the JJDP Act, and also provides guidance and direction to the SPA, the Governor and the legislature regarding juvenile justice issues in Iowa. Federal officials refer to such state level groups as state advisory groups (SAG’s). The acronyms SPA and SAG are used through this report.
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This report, the Full Report, is the culmination of the Task Force’s responsibilities as set out in Executive Order 5, dated October 30, 2007. The Executive Order specifies a number of goals and report requirements.There is a commonly held perception that the use of detention may serve as a deterrent to future delinquency. Data in this report reflect that approximately 40% of youth detained in 2006 were re-detained in 2006. Research conducted by national experts indicates that, particularly for low risk/low level offenders, that the use of detention is not neutral, and may increase the likelihood of recidivism. Comparable data for Iowa are not available (national data studied for this report provide level of risk, but risk level related to detention is not presently available for Iowa). The Task Force finds no evidence suggesting that recidivism levels (as related to detention risk) in Iowa should be different than found in other states. Data in this report also suggest that detention is one of the juvenile justice system’s more costly sanctions ($257 - $340 per day). Other sites and local jurisdictions have been able to redirect savings from the reduced use of juvenile detention to support less costly, community-based detention alternatives without compromising public safety.
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News from Iowa’s Center for Agricultural Safety and Health (I-CASH)
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News from Iowa’s Center for Agricultural Safety and Health (I-CASH)