Generalised linear mixed model analysis via sequential Monte Carlo sampling

We present a sequential Monte Carlo sampler algorithm for the Bayesian analysis of generalised linear mixed models (GLMMs). These models support a variety of interesting regression-type analyses, but performing inference is often extremely difficult, even when using the Bayesian approach combined with Markov chainMonte Carlo (MCMC). The SequentialMonte Carlo sampler (SMC) is a new and generalmethod for producing samples from posterior distributions. In thisarticle we demonstrate use of the SMC method for performing inference for GLMMs. We demonstrate the effectiveness of the method on both simulated and real data, and find that sequential Monte Carlo is a competitive alternative to the available MCMC techniques. © 2008, Institute of Mathematical Statistics. All rights reserved

The impact of XENON100 and the LHC on Supersymmetric Dark Matter

The effect of 2010 and 2011 LHC data are discussed in connection to the potential for the direct detection of supersymmetric dark matter. The impact of the recent XENON100 results are contrasted to these predictions.Comment: 14 pages, 23 figures, To be published in the Proceedings of the 7th DSU Conference, Beijing Chin

Feasibility and Safety of Multicenter Tissue and Biofluid Sampling for α-Synuclein in Parkinson's Disease: The Systemic Synuclein Sampling Study (S4)

BACKGROUND: α-synuclein is a lead Parkinson's disease (PD) biomarker. There are conflicting reports regarding accuracy of α-synuclein in different tissues and biofluids as a PD biomarker, and the within-subject anatomical distribution of α-synuclein is not well described. The Systemic Synuclein Sampling Study (S4) aims to address these gaps in knowledge. The S4 is a multicenter, cross-sectional, observational study evaluating α-synuclein in multiple tissues and biofluids in PD and healthy controls (HC). OBJECTIVE: To describe the baseline characteristics of the S4 cohort and safety and feasibility of this study. METHODS: Participants underwent motor and non-motor clinical assessments, dopamine transporter SPECT, biofluid collection (cerebrospinal fluid, saliva, and blood), and tissue biopsies (skin, sigmoid colon, and submandibular gland). Biopsy adequacy was determined based on presence of adequate target tissue. Tissue sections were stained with the 5C12 monoclonal antibody against unmodified α-synuclein. All specimens were acquired and processed in a standardized manner. Adverse events were systematically recorded. RESULTS: The final cohort consists of 82 participants (61 PD, 21 HC). In 68 subjects (83%), all types of specimens were obtained but only 50 (61%) of subjects had all specimens both collected and evaluable for α-synuclein. Mild adverse events were common, especially for submandibular gland biopsy, but only 1 severe adverse event occurred. CONCLUSION: Multicenter tissue and biofluid sampling for α-synuclein is feasible and generally safe. S4 will inform understanding of the concurrent distribution of α-synuclein pathology and biomarkers in biofluids and peripheral nervous system in PD

Audit sampling (1983); Audit and accounting guide:

https://egrove.olemiss.edu/aicpa_indev/1331/thumbnail.jp

Audit sampling (1992); Audit and accounting guide:

https://egrove.olemiss.edu/aicpa_indev/1332/thumbnail.jp

Proposed audit guide : audit sampling;Audit sampling; Exposure draft (American Institute of Certified Public Accountants), 1982, Mar. 1

This exposure draft is a proposed Audit Guide entitled Audit Sampling. The proposed guide is important to all CPAs who do audits. It provides guidance to the auditor for implementing Statement on Auditing Standards no. 39, Audit Sampling. SAS no. 39 applies to all audit sampling — both statistical and nonstatistical. This proposed guide provides guidance to assist auditors using either approach in applying SAS no. 39. The guide is organized so that essentially all the guidance relating solely to statistical sampling is located beginning with Chapter 3, section 3. As a result, if an auditor is using this guide to assist him in applying nonstatistical sampling, the auditor would ordinarily follow the guidance in Chapters 1, 2, and 3 (sections 1 and 2). The audit guide is organized as follows: 1. The introduction to the guide describes the scope of the audit guide and provides guidance on the type of audit procedures covered by SAS no. 39 and this guide. 2. Chapter 1 provides an overview of the relationship of audit sampling to the audit process. 3. Chapter 2 provides guidance on the use of audit sampling for tests of compliance with prescribed internal accounting control procedures. This guidance applies to both nonstatistical and statistical sampling except where noted. 4. Chapter 3 provides guidance on the use of audit sampling for substantive tests of details. Chapter 3 is divided into four sections. Section one provides general guidance that applies to both nonstatistical and statistical sampling. Section 2 provides guidance for nonstatistical sampling applications for substantive tests. Two types of statistical sampling approaches for substantive tests are described in sections 3 and 4. Sections 2, 3, and 4 each include a case study illustrating the application of the guidance in the respective section. 5. The guide includes several appendices. Appendices A through E are primarily useful in applying certain statistical sampling approaches. Appendix F provides further guidance on the use of the risk model included in the appendix to SAS no. 39. Appendices G and H are a glossary and selected bibliography of further readings, respectively. Neither SAS no. 39 nor this guide requires the auditor using nonstatistical sampling to compare the sample size for the nonstatistical sampling application to a corresponding sample size calculated using statistical theory. However, the guide provides several quantitative illustrations of sample sizes based on statistical theory that should be helpful to an auditor applying professional judgment and experience in considering the effect of various planning considerations on sample size.https://egrove.olemiss.edu/aicpa_sop/1443/thumbnail.jp

Audit sampling (1999); Audit and accounting guide:

https://egrove.olemiss.edu/aicpa_indev/1333/thumbnail.jp

Audit sampling, new edition as of April 1, 2001; Audit and accounting guide:

https://egrove.olemiss.edu/aicpa_indev/1334/thumbnail.jp

Audit sampling, new edition as of May 1, 2008; Audit and accounting guide:

https://egrove.olemiss.edu/aicpa_indev/1335/thumbnail.jp