Background/aim: Health policy places emphasis on enabling patients to die in their place of choice, and increasing the proportion home deaths. In this article, we seek explore reported preferences for death experiences care a population-based sample deaths from all causes. Design: Self-completion post-bereavement survey. Setting/Participants: Census registered two health districts between October 2009 April 2010. Views Informal Carers – Evaluation Services Short Form was sent each informant...

This article considers the assessment of risk identification respondents in survey microdata, context applications at United Kingdom (UK) Office for National Statistics (ONS). The threat comes from matching categorical "key" variables between microdata records and external data sources use log-linear models to facilitate matching. While potential such statistical is well established literature, little consideration has been given model specification or sensitivity this specification. In...

Although in health services survey research we strive for a high response rate, this must be balanced against the need to recruit participants ethically and considerately, particularly surveys with sensitive nature. In there are no established recommendations guide recruitment approach an 'opt-in' system that requires potential request copy of questionnaire by returning reply slip is frequently adopted. However, observational risk lower than clinical so some have used 'opt-out' system. The...

End-of-life care (EOLC) is a key component in of older people. However, evidence suggests that the oldest old (>85 years) are less likely to access specialist EOLC.The study's objective was explore experiences EOLC among and determine their reported preference for place death.The study involved self-completion postbereavement survey.A census taken deaths registered between October 2009 April 2010 two health districts, identified from death certificates. Views Informal Carers-Evalution...

Abstract For decades, criminologists have been aware of the severe consequences dark figure police records for crime prevention strategies. Crime surveys are developed to address limitations statistics as data sources, and estimates produced from can mitigate biases in data. This paper produces small area crimes unknown at local neighbourhood levels Survey England Wales explore geographical inequality crime. The is larger not only cities that deprived but also wealthy municipalities....

Summary Non‐response is a common source of error in many surveys. Because surveys often are costly instruments, quality‐cost trade‐offs play continuing role the design and analysis The advances telephone, computers, Internet all had still have considerable impact on Recently, strong focus methods for survey data collection monitoring tailoring has emerged as new paradigm to efficiently reduce non‐response error. Paradata adaptive designs key words these developments. Prerequisites...

For decades, national statistical agencies and other data custodians have been publishing frequency tables based on census, survey administrative data. In order to protect the confidentiality of individuals represented in data, original are modified before release. Recently, response user demand for more flexible responsive table publication services, schemes augmented with on-line generating servers such as US Census Bureau FactFinder Australian Statistics (ABS) TableBuilder. These systems...

Summary Recent survey literature shows an increasing interest in designs that adapt data collection to characteristics of the target population. Given a specified quality objective function, attempt find optimal balance between and costs. Finding may not be straightforward as corresponding optimisation problems are often highly non‐linear non‐convex. In this paper, we discuss how choose strata such allocate these sequential design with two phases. We use partial R‐indicators build profiles...

Abstract There is growing interest within National Statistical Institutes in combining available datasets containing information on a large variety of social domains. matching approaches can be used to integrate data sources through common set variables where each dataset contains different units that belong the same target population. However, problem related assumption conditional independence among observed sources. In this context, an auxiliary all jointly improve statistical by...

Summary This paper provides a review of common statistical disclosure control (SDC) methods implemented at agencies for standard tabular outputs containing whole population counts from census (either enumerated or based on register). These include record swapping the microdata prior to its tabulation and rounding entries in tables after they are produced. The approach assessing SDC is risk–data utility framework need find balance between managing risk while maximizing amount information that...

Government statistical agencies often apply disclosure limitation techniques to survey microdata protect the confidentiality of respondents. There is a need for valid and practical ways assess protection provided. This paper develops some simple methods which perturb values categorical identifying variables. The are applied in numerical experiments based upon census data from United Kingdom subject two perturbation techniques: swapping (random targeted) post randomization method. Some...

Worry about crime is known to be higher in some European regions than others. However, cross-national surveys, which are the main source of information map worry across Europe, designed representative large areas (countries), and often suffer from small unrepresentative sample sizes. This research produces reliable model-based area estimates at regional level Social Survey data, order phenomenon examine its macro-level predictors. Model-based estimation techniques borrow strength produce...

Small area estimation (SAE) plays a crucial role in the social sciences due to growing need for reliable and accurate estimates small domains. In study of well-being, example, policy makers detailed information about geographical distribution range indicators. We investigate data dimensionality reduction using factor analysis models implement SAE on scores under empirical best linear unbiased prediction approach. contrast this approach with standard providing dashboard indicators or weighted...

Statistical Agencies need to make informed decisions when releasing sample microdata from social surveys with respect the level of protection required in data and mode access. These should be based on objective quantitative measures disclosure risk utility. This paper reviews recent developments assessment discusses how these can integrated established methods masking utility for microdata. We illustrate Disclosure risk-Data Utility approach samples drawn a Census where population is known...

Living in socioeconomic disadvantage has been conceptualised as a chronic stressor, although this contradicts evidence from studies using hair cortisol and cortisone measure of hypothalamus-pituitary-adrenal (HPA)

Nonprobability web surveys suffer from selection and coverage biases are generally not representative of the target population. To carry out statistical modelling in a nonprobability survey, we explore different methods adjustments to compensate for through use probability-based reference sample. We also show that need account these when imputing missing data. The include propensity score weighting with post-stratification technique called sample matching. For substantive study, online...

Racism has been long-established to be associated with social, economic, and health inequalities for minoritised ethnic groups, but existent evidence likely under-estimates the extent persistence of experienced racial discrimination due limitations in measurement timing domains life where occurs. We analysed data captured by a novel retrospective measure course experiences that measures extent, persistence, accumulation over course. Our findings show higher levels than previously reported,...