Log-Linear Modelling and Spatial Analysis

1985 ◽  
Vol 17 (7) ◽  
pp. 931-951 ◽  
Author(s):  
E Aufhauser ◽  
M M Fischer
Keyword(s):  
Spatial Analysis ◽  
Linear Models ◽  
Generalised Linear Models ◽  
Migration Patterns ◽  
Poisson Sampling ◽  
The Past ◽  
The Social ◽  
The Family ◽  
Conventional Models ◽  
Log Linear

In the past decade the social sciences have seen an upsurge of interest in analysing multidimensional contingency tables using log-linear models. Two broad families of log-linear models may be distinguished: the family of conventional models and the family of unconventional models (that is, quasi-log-linear and hybrid models). In this paper a brief review of such models is presented and some linkage to the class of generalised linear models suggested by Nelder and Wedderburn is provided. The great potential of log-linear models for spatial analysis is illustrated in applying conventional and unconventional models in a migration context to identify intertemporal stability of migration patterns. The problem that the effective units migrating are households rather than individuals is coped with by postulating a compound Poisson sampling scheme.

On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods

2021 ◽  
pp. 1471082X2110347
Author(s):  
Panagiota Tsamtsakiri ◽  
Dimitris Karlis
Keyword(s):  
Time Series ◽  
Model Selection ◽  
Bayesian Model ◽  
Linear Models ◽  
Simulation Experiment ◽  
Mean Values ◽  
The Past ◽  
Competing Models ◽  
Selection For ◽  
Log Linear

There is an increasing interest in models for discrete valued time series. Among them, the integer autoregressive conditional heteroscedastic (INGARCH) is a model that has found several applications. In the present article, we study the problem of model selection for this family of models. Namely we consider that an observation conditional on the past follows a Poisson distribution where its mean depends on its past mean values and on past observations. We consider both linear and log-linear models. Our purpose is to select the most appropriate order of such models, using a trans-dimensional Bayesian approach that allows jumps between competing models. A small simulation experiment supports the usage of the method. We apply the methodology to real datasets to illustrate the potential of the approach.

scholarly journals Lifetime, 5-year and past-year prevalence of homelessness in Europe: a cross-national survey in eight European nations

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e033237 ◽  
Author(s):  
Owen Taylor ◽  
Sandrine Loubiere ◽  
Aurelie Tinland ◽  
Maria Vargas-Moniz ◽  
Freek Spinnewijn ◽  
...  
Keyword(s):  
Service Use ◽  
Linear Models ◽  
Pairwise Comparison ◽  
Response Rates ◽  
Computer Assisted ◽  
Generalised Linear Models ◽  
The Past ◽  
History Of ◽  
Nationally Representative ◽  
Difference Test

ObjectivesTo examine the lifetime, 5-year and past-year prevalence of homelessness among European citizens in eight European nations.DesignA nationally representative telephone survey using trained bilingual interviewers and computer-assisted telephone interview software.SettingThe study was conducted in France, Ireland, Italy, the Netherlands, Poland, Portugal, Spain and Sweden.ParticipantsEuropean adult citizens, selected from opt-in panels from March to December 2017. Total desired sample size was 5600, with 700 per country. Expected response rates of approximately 30% led to initial sample sizes of 2500 per country.Main outcome measuresHistory of homelessness was assessed for lifetime, past 5 years and past year. Sociodemographic data were collected to assess correlates of homelessness prevalence using generalised linear models for clustered and weighted samples.ResultsResponse rates ranged from 30.4% to 33.5% (n=5631). Homelessness prevalence was 4.96% for lifetime (95% CI 4.39% to 5.59%), 1.92% in the past 5 years (95% CI 1.57% to 2.33%) and 0.71% for the past year (95% CI 0.51% to 0.98%) and varied significantly between countries (pairwise comparison difference test, p<0.0001). Time spent homeless ranged between less than a week (21%) and more than a year (18%), with high contrasts between countries (p<0.0001). Male gender, age 45–54, lower secondary education, single status, unemployment and an urban environment were all independently strongly associated with lifetime homelessness (all OR >1.5).ConclusionsThe prevalence of homelessness among the surveyed nations is significantly higher than might be expected from point-in-time and homeless service use statistics. There was substantial variation in estimated prevalence across the eight nations. Coupled with the well-established health impacts of homelessness, medical professionals need to be aware of the increased health risks of those with experience of homelessness. These findings support policies aiming to improve health services for people exposed to homelessness.

The Stochastic Disturbance Specification and its Implications for Log-Linear Regression

1979 ◽  
Vol 11 (7) ◽  
pp. 781-790 ◽  
Author(s):  
J M Haworth ◽  
P J Vincent
Keyword(s):  
Spatial Analysis ◽  
Linear Regression ◽  
Conditional Expectation ◽  
Linear Models ◽  
Model Specification ◽  
Stochastic Disturbance ◽  
Log Linear

Model specification is a crucial factor in regression. We show that in log-linear models, although the estimated relationship represents the conditional expectation of ln Y, the antilogarithm does not give the conditional expectation of Y. This has important implications in spatial analysis.

Domestic Homicide in early modern England

1981 ◽  
Vol 24 (1) ◽  
pp. 29-48 ◽  
Author(s):  
J. A. Sharpe
Keyword(s):  
Early Modern ◽  
Social History ◽  
Family Life ◽  
Early Modern England ◽  
Sexual Practices ◽  
Economic Role ◽  
The Past ◽  
The Social ◽  
The Family

One of the most striking features of recent writing on early modern social history has been the emergence of the family as a subject of central concern. As befits an historical area being subjected to new scrutiny, much of this concern has expressed itself in the form of specialized, and often narrowly-focused articles or essays.1 To these have been added a number of more general works intended to examine the broader developments in and implications of family life in the past.2 Several themes within family history have already received considerable attention: the structure of the family, for example, a topic already rendered familiar by earlier work on historical demography; the concomitant topic of sexual practices and attitudes; and the economic role of the family, especially in its capacity as a unit of production. These are, of course, important matters, and the research carried out on them has revealed much of interest and consequence to the social historian; this should not, however, obscure the existence of a number of other significant dimensions of family life in the past which await thorough investigation.

scholarly journals Coping and Social Support for Parents of Children with Autism

2005 ◽  
Vol 21 (1) ◽  
pp. 40-47 ◽  
Author(s):  
Edith H. Luther ◽  
Daryl L. Canham ◽  
Virginia Young Cureton
Keyword(s):  
Social Support ◽  
Coping Strategies ◽  
Support Groups ◽  
Children With Autism ◽  
Descriptive Study ◽  
Family Crisis ◽  
The Past ◽  
The Social ◽  
The Family ◽  
Local Support

Autism in children has increased significantly in the past 15 years. The challenges and stressors associated with providing services and caring for a child with autism affect families, educators, and health professionals. This descriptive study used a survey to collect data on parents’ perceptions of coping strategies and social support. Instruments included the Social Support Index and the Family Crisis Oriented Personal Evaluation Scales. One half of the families identified serious stressors in addition to autism. Acquiring social support and reframing were the most frequently used coping strategies. The school nurse is in a position to identify needs and refer families to local support groups and agencies, facilitating social support and development of coping strategies.

scholarly journals Stigma in Mental Illness: Relative’s Perspective

2015 ◽  
Vol 3 (2) ◽  
pp. 37-42 ◽  
Author(s):  
S R Adhikari
Keyword(s):  
Mental Illness ◽  
Rating Scales ◽  
Social Characteristics ◽  
Cross Sectional ◽  
Medical College ◽  
The Past ◽  
Care Givers ◽  
The Social ◽  
The Family

Introduction: Stigma is an important determinant in mental illness, which determines awareness, symptom recognition and treatment adherence. It is an important factor due to which relatives of patients with psychiatric disorders decide treatment and further evaluation. Materials and Methods: This is cross-sectional retrospective study done at medical college. Valid and standardized rating scales along with socio-demographic profile were used to assess perception, awareness and attitude regarding stigma against mental illness among relatives of patients who have mental illness.Results: Most family members did not perceive themselves as being avoided by others because of their relative’s hospitalization, half reported concealing the hospitalization at least to some degree. Both the characteristics of the mental illness (the stigmatizing mark) and the social characteristics of the family were significantly related to levels of family stigma. Care givers whose relative had experienced an episode of illness within the past 6 months reported greater avoidance by others. Conclusion: Stigma experienced by relatives is pervasive and everlasting. It deeply affects emotional, social and occupational aspects of care giver also which leads to concealment of their patient’s illness, which have long term detrimental situations and non-compliance of medications.J Psychiatric Association of Nepal Vol .3, No.2, 2014, pp: 37-42DOI: http://dx.doi.org/10.3126/jpan.v3i2.12393

scholarly journals The family accompaniment of persons with dementia seen through the lens of the capability approach

Dementia ◽  
2016 ◽  
Vol 18 (1) ◽  
pp. 55-79 ◽  
Author(s):  
Catherine Le Galès ◽  
Martine Bungener
Keyword(s):  
Capability Approach ◽  
Family Members ◽  
The Past ◽  
People With Dementia ◽  
The Social ◽  
The Family ◽  
And Gender ◽  
Person With Dementia ◽  
The Capability Approach

Using the capability approach initially developed by A Sen as a theoretical framework, this paper analyses both what people with dementia and their families do in response to difficulties in their daily life brought about by the disease, and the reasons they give for acting as they do. Individual and collective interviews and ethnographic observations with 15 persons with dementia and one or more of their family members were conducted. Follow-up interviews were possible for nine families. Results highlight a great diversity in ways of doing things and in accompaniment by family members. Daily adjustments are often hidden or minimized, at least at the onset of the dementia. Later, they become more frequent, repetitive and indispensable but remain influenced by the social and gender roles that existed prior to the illness. The inventiveness of families, in a context marked by various kinds of constraints, is primarily motivated by their desire to maintain the apparently intact abilities of the person with dementia but especially to preserve forms of liberty and what counted for the person, what that person valued before the disease. There are some ways of living with dementia, even when accompanied, which may long remain preferable to others, which better answer to the past and present aspirations of persons with dementia and the purposes of the accompanying persons. It is thus essential that health professionals, as well as society in general, recognize and address this issue.

scholarly journals Modelling Synergy using Manifest Categorical Variables

1998 ◽  
Vol 22 (3) ◽  
pp. 537-557 ◽  
Author(s):  
Alexander von Eye ◽  
Christof Schuster ◽  
William M. Rogers
Keyword(s):  
Social Sciences ◽  
Linear Models ◽  
Contraceptive Use ◽  
Natural Sciences ◽  
Alternative Methods ◽  
Categorical Variables ◽  
The Social ◽  
Log Linear ◽  
The Relationship

This paper discusses methods to model the concept of synergy at the level of manifest categorical variables. First, a classification of concepts of synergy is presented. A dditive and nonadditive concepts of synergy are distinguished. Most prominent among the nonadditive concepts is superadditive synergy. Examples are given from the natural sciences and the social sciences. M delling focuses on the relationship between the agents involved in a synergetic process. These relationships are expressed in form of contrasts, expressed in effect coding vectors in design matrices for nonstandard log-linear models. A method by Schuster is used to transform design matrices such that parameters reflect the proposed relationships. A n example reanalyses data presented by Bishop, Fienberg, and Holland (1975) that describe the development of thromboembolisms in women who differ in their patterns of contraceptive use and smoking. Alternative methods of analysis are com pared. Implications for developmental research are discussed.

Modelling Income Protection Claim Termination Rates by Cause of Sickness I: Recoveries

2009 ◽  
Vol 4 (2) ◽  
pp. 199-239 ◽  
Author(s):  
S. Y. Ling ◽  
H. R. Waters ◽  
A. D. Wilkie
Keyword(s):  
Linear Models ◽  
Cox Model ◽  
Swine Flu ◽  
Insurance Claims ◽  
Generalised Linear Models ◽  
The Past ◽  
Aggregate Claim ◽  
Over Time

ABSTRACTIn this paper we present methods and results for the estimation and modelling of the recovery intensity for Income Protection (IP) insurance claims, allowing for different causes of claim. We use UK data supplied by the Continuous Mortality Investigation relating to claims paid in the years 1975 to 2002, inclusive. Each claim is classified by one of 70 possible causes according to ICD8.We group causes where appropriate, and then use the Cox model and generalised linear models to model the recovery intensity.In two subsequent papers we complete our modelling of IP claim termination rates by discussing the modelling of the mortality of IP claimants.There are two main reasons why it is useful to incorporate cause of sickness in the modelling of IP claim terminations:(i) The cause of sickness will be known to the insurer for a claim in the course of payment. A reserve can be set more accurately for such a claim if a model of the termination rates appropriate for this cause is available.(ii) Different causes of claim will become more or less significant over time. For example, tuberculosis may have been an important cause of sickness in the past, but is likely to be far less significant now; the swine flu pandemic starting in 2009 is likely to have a significant effect on observed aggregate claim termination rates, skewing them towards higher rates at shorter durations. Information about trends in morbidity, together with a model of termination rates by cause of claim, allows future aggregate claim termination rates to be predicted more accurately, reserves to be set at more appropriate levels and policies to be priced more accurately.One of the covariates included in our models for recovery intensities is Calendar Year. Aggregate recovery intensities have been decreasing over the period considered, 1975 to 2002, and this is generally reflected in the models for recovery intensities by cause of sickness. However, when these intensities are projected for years beyond 2002, the results are not always plausible.

Accounting for fish shoals in single- and multi-species survey data using mixture distribution models

2011 ◽  
Vol 68 (9) ◽  
pp. 1681-1693 ◽  
Author(s):  
James T. Thorson ◽  
Ian J. Stewart ◽  
André E. Punt
Keyword(s):  
Linear Models ◽  
Survey Design ◽  
Mixture Distribution ◽  
Trawl Survey ◽  
Distribution Models ◽  
Mixed Effects Modeling ◽  
Conventional Models ◽  
Catch Rates ◽  
Log Linear ◽  
Trawl Catches

A scientific bottom trawl survey targeting Pacific rockfishes (Sebastes spp.) occasionally yields extraordinary catch events (ECEs) in which catch-per-unit-area is much greater than usual. We hypothesize that ECEs result from trawl catches of fish shoals. We developed mixture distribution models for positive catch rates to identify spatial covariates associated with ECEs or normal trawl catches and used simulation modeling to contrast the performance of mixture distribution and conventional log-linear models for estimating an annual index of positive catch rates. Finally, mixed-effects modeling was applied to multispecies data to evaluate the hypothesis that ECEs are related to shoaling behaviors. Results show that mixture distribution models are often selected over conventional models for shoaling species and that untrawlable habitat has a positive effect on rockfish densities. Simulation shows that mixture distribution models can perform as well as or better than conventional models at predicting positive catch rates. Finally, model selection supports the hypothesis that shoaling behaviors contribute to the occurrence of ECEs. We propose that greater understanding of ECEs and shoaling habitat selection could be useful in future spatial management and survey design and that mixture distribution models could improve methods for estimating annual indices of abundance.

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