| 1. |
- Babor, Thomas, et al.
(författare)
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Drug Policy and the Public Good
- 2018. - 2
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Bok (refereegranskat)abstract
- Drug Policy and the Public Good presents the accumulated scientific knowledge of direct relevance to the development of drug policy on local, national, and international levels. The book explores both illicit drug use and non-medical use of prescription medications within a public health perspective. A conceptual basis for a rational drug policy is presented, along with new epidemiological data on the global dimensions of drug misuse, significant trends in drug epidemics, and the global burden of disease attributable to drug misuse. The markets for both illicit and legally prescribed psychoactive substances are described, showing that these two sources of drug supply are becoming increasingly connected in many countries. The core of the book is a critical review of the cumulative scientific evidence in five general areas of drug policy: primary prevention programmes in schools and other settings; treatment interventions and harm reduction approaches; attempts to control the supply of illicit drugs, including drug interdiction and law enforcement; decriminalization and penal approaches; and control of the legal market through prescription drug regimes. The final chapters discuss the trend toward legalization of some psychoactive substances in different parts of the world and describe the need for a new approach to drug policy that is evidence-based, realistic, and coordinated. The evidence reviewed in this book suggests that an integrated and balanced approach to evidence-informed drug policy is more likely to benefit the public good than are uncoordinated efforts to reduce drug supply and demand.
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| 2. |
- Grünewald, Maria, et al.
(författare)
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A Stochastic EM type algorithm for estimation in data with ascertainment on continuous outcomes
- 2008
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Outcome dependent sampling probabilities can be used to increase efficiency in observational studies. For continuous outcomes appropriate consideration of sampling design in estimating parameters of interest is often computationally cumbersome. In this article we suggest a Stochastic EM type algorithm for estimation. The computational complexity of the likelihood is avoided by filling in missing data so that the full data likelihood can be used. The method is not restricted to any specific distribution of the data and can be used for a broad range of statistical models.
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| 3. |
- Grünewald, Maria, 1976-, et al.
(författare)
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A Stochastic EM Type Algorithm for Parameter Estimation in Models with Continuous Outcomes, under Complex Ascertainment
- 2010
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Ingår i: The International Journal of Biostatistics. - : Walter de Gruyter GmbH. - 1557-4679. ; 6:1, s. Article 23-
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Tidskriftsartikel (refereegranskat)abstract
- Outcome-dependent sampling probabilities can be used to increase efficiency in observational studies. For continuous outcomes, appropriate consideration of sampling design in estimating parameters of interest is often computationally cumbersome. In this article, we suggest a Stochastic EM type algorithm for estimation when ascertainment probabilities are known or estimable. The computational complexity of the likelihood is avoided by filling in missing data so that an approximation of the full data likelihood can be used. The method is not restricted to any specific distribution of the data and can be used for a broad range of statistical models.
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| 4. |
- Grünewald, Maria, 1976-
(författare)
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Design and analysis of response selective samples in observational studies
- 2011
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Outcome dependent sampling may increase efficiency in observational studies. It is however not always obvious how to sample efficiently, and how to analyze the resulting data without introducing bias. This thesis describes a general framework for efficiency calculations in multistage sampling, with focus on what is sometimes referred to as ascertainment sampling. A method for correcting for the sampling scheme in analysis of ascertainment samples is also presented. Simulation based methods are used to overcome computational issues in both efficiency calculations and analysis of data.
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| 5. |
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| 6. |
- Humphreys, Keith, et al.
(författare)
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The Genetic Structure of the Swedish Population
- 2011
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Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 6:8, s. e22547-
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Tidskriftsartikel (refereegranskat)abstract
- Patterns of genetic diversity have previously been shown to mirror geography on a global scale and within continents and individual countries. Using genome-wide SNP data on 5174 Swedes with extensive geographical coverage, we analyzed the genetic structure of the Swedish population. We observed strong differences between the far northern counties and the remaining counties. The population of Dalarna county, in north middle Sweden, which borders southern Norway, also appears to differ markedly from other counties, possibly due to this county having more individuals with remote Finnish or Norwegian ancestry than other counties. An analysis of genetic differentiation (based on pairwise F(st)) indicated that the population of Sweden's southernmost counties are genetically closer to the HapMap CEU samples of Northern European ancestry than to the populations of Sweden's northernmost counties. In a comparison of extended homozygous segments, we detected a clear divide between southern and northern Sweden with small differences between the southern counties and considerably more segments in northern Sweden. Both the increased degree of homozygosity in the north and the large genetic differences between the south and the north may have arisen due to a small population in the north and the vast geographical distances between towns and villages in the north, in contrast to the more densely settled southern parts of Sweden. Our findings have implications for future genome-wide association studies (GWAS) with respect to the matching of cases and controls and the need for within-county matching. We have shown that genetic differences within a single country may be substantial, even when viewed on a European scale. Thus, population stratification needs to be accounted for, even within a country like Sweden, which is often perceived to be relatively homogenous and a favourable resource for genetic mapping, otherwise inferences based on genetic data may lead to false conclusions.
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| 7. |
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| 8. |
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| 9. |
- Leu, Monica, et al.
(författare)
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NordicDB : a Nordic pool and portal for genome-wide control data
- 2010
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Ingår i: European Journal of Human Genetics. - : Springer Science and Business Media LLC. - 1018-4813 .- 1476-5438. ; 18:12, s. 1322-1326
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Tidskriftsartikel (refereegranskat)abstract
- A cost-efficient way to increase power in a genetic association study is to pool controls from different sources. The genotyping effort can then be directed to large case series. The Nordic Control database, NordicDB, has been set up as a unique resource in the Nordic area and the data are available for authorized users through the web portal (http://www.nordicdb.org). The current version of NordicDB pools together high-density genome-wide SNP information from similar to 5000 controls originating from Finnish, Swedish and Danish studies and shows country-specific allele frequencies for SNP markers. The genetic homogeneity of the samples was investigated using multidimensional scaling (MDS) analysis and pairwise allele frequency differences between the studies. The plot of the first two MDS components showed excellent resemblance to the geographical placement of the samples, with a clear NW-SE gradient. We advise researchers to assess the impact of population structure when incorporating NordicDB controls in association studies. This harmonized Nordic database presents a unique genome-wide resource for future genetic association studies in the Nordic countries. European Journal of Human Genetics (2010) 18, 1322-1326; doi: 10.1038/ejhg.2010.112; published online 28 July 2010
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| 10. |
- Ripatti, Samuli, et al.
(författare)
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GENESTAT : an information portal for design and analysis of genetic association studies
- 2009
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Ingår i: European Journal of Human Genetics. - : Springer Science and Business Media LLC. - 1018-4813 .- 1476-5438. ; 17:4, s. 533-536
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Tidskriftsartikel (refereegranskat)abstract
- We present the rationale, the background and the structure for version 2.0 of the GENESTAT information portal (www.genestat.org) for statistical genetics. The fast methodological advances, coupled with a range of standalone software, makes it difficult for expert as well as non-expert users to orientate when designing and analysing their genetic studies. The ultimate ambition of GENESTAT is to guide on statistical methodology related to the broad spectrum of research in genetic epidemiology. GENESTAT 2.0 focuses on genetic association studies. Each entry provides a summary of a topic and gives links to key papers, websites and software. The flexibility of the internet is utilised for cross-referencing and for open editing. This paper gives an overview of GENESTAT and gives short introductions to the current main topics in GENESTAT, with additional entries on the website. Methods and software developers are invited to contribute to the portal, which is powered by a Wikipedia-type engine and allows easy additions and editing.
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