scholarly journals A log-linear multidimensional Rasch model for capture-recapture

2015 ◽  
Vol 35 (4) ◽  
pp. 622-634 ◽  
Author(s):  
E. Pelle ◽  
D. J. Hessen ◽  
P. G. M. van der Heijden
Keyword(s):  
Rasch Model ◽  
Multidimensional Rasch Model ◽  
Capture Recapture ◽  
Log Linear

Comparison Study of Two DIF Detection Methods in Multidimensional Rasch Model

2008 ◽  
Author(s):  
Hung-Yu Huang ◽  
Sunny S. J. Lin
Keyword(s):  
Rasch Model ◽  
Detection Methods ◽  
Comparison Study ◽  
Multidimensional Rasch Model

Absolute Population Estimates Using Capture–Recapture Experiments

2021 ◽  
pp. 63-112
Author(s):  
Peter A. Henderson
Keyword(s):  
Robust Design ◽  
Linear Method ◽  
Stochastic Method ◽  
Population Estimates ◽  
Protein Marking ◽  
Capture Recapture ◽  
Estimate Population Size ◽  
Log Linear ◽  
Absolute Population ◽  
Natural Marks

The main methods used to estimate population size using capture–recapture for both closed and open populations are described, including the Peterson–Lincoln estimator, the Schabel census, Bailey’s triple catch, the Jolly–Seber stochastic method, and Cormack’s log-linear method. The robust design approach is described. R code listings for commonly used packages are presented. The assumptions common to capture–recapture methods are reviewed, and tests for assumptions such as equal catchability described. The use of programs to select model assumptions are described. The main methods for marking different animal groups are described, together with the use of natural marks and parasites and DNA. Marking methods include paint marks, dyes, tagging, protein marking, DNA, natural marks, tattooing, and mutilation. Methods for handling and release are described.

Prevalence of Dystonia in Antioquia, Colombia

2016 ◽  
Vol 46 (2) ◽  
pp. 137-143 ◽  
Author(s):  
Juan Marcos Solano Atehortúa ◽  
Sandra Patricia Isaza Jaramillo ◽  
Ana Rendón Bañol ◽  
Omar Buritica Henao
Keyword(s):  
Epidemiological Studies ◽  
Demographic Characteristics ◽  
Linear Modeling ◽  
Delay In Diagnosis ◽  
True Prevalence ◽  
High Prevalence ◽  
The World ◽  
Different Types ◽  
Capture Recapture ◽  
Log Linear

Background: There are few published epidemiological studies concerning dystonia. Its true prevalence has been difficult to establish. There is no data published in Latin America on this matter. Methods: In this study the prevalence of dystonias in the Department of Antioquia (Colombia) was estimated using a capture-recapture methodology with log-linear modeling, including cases in 3 centers for neurological referrals that cover the Department of Antioquia from 2007 to 2012. Results: The overall prevalence was 712 per 1,000,000 (95% CI 487-937). Of the total of 874 patients, 79% had primary dystonias, and 75.5% had focal dystonias. The delay in diagnosis was longer for primary dystonias, with a median of 1 year. Conclusion: We found a high prevalence of dystonias in Antioquia. The frequency of the different types of dystonias, as well as the demographic characteristics of our patients, is similar to data from other populations of the world.

Modeling Local Item Dependence Due to Common Test Format With a Multidimensional Rasch Model

2014 ◽  
Vol 15 (1) ◽  
pp. 71-87 ◽  
Author(s):  
Purya Baghaei ◽  
Vahid Aryadoust
Keyword(s):  
Rasch Model ◽  
Test Format ◽  
Multidimensional Rasch Model ◽  
Local Item Dependence

scholarly journals Estimating infectious diseases incidence: validity of capture–recapture analysis and truncated models for incomplete count data

2007 ◽  
Vol 136 (1) ◽  
pp. 14-22 ◽  
Author(s):  
N. A. H. VAN HEST ◽  
A. D. GRANT ◽  
F. SMIT ◽  
A. STORY ◽  
J. H. RICHARDUS
Keyword(s):  
Infectious Disease ◽  
Count Data ◽  
Disease Surveillance ◽  
Cross Validation ◽  
Linear Models ◽  
Disease Incidence ◽  
Infectious Disease Surveillance ◽  
Number Of Patients ◽  
Capture Recapture ◽  
Log Linear

SUMMARYCapture–recapture analysis has been used to evaluate infectious disease surveillance. Violation of the underlying assumptions can jeopardize the validity of the capture–recapture estimates and a tool is needed for cross-validation. We re-examined 19 datasets of log-linear model capture–recapture studies on infectious disease incidence using three truncated models for incomplete count data as alternative population estimators. The truncated models yield comparable estimates to independent log-linear capture–recapture models and to parsimonious log-linear models when the number of patients is limited, or the ratio between patients registered once and twice is between 0·5 and 1·5. Compared to saturated log-linear models the truncated models produce considerably lower and often more plausible estimates. We conclude that for estimating infectious disease incidence independent and parsimonious three-source log-linear capture–recapture models are preferable but truncated models can be used as a heuristic tool to identify possible failure in log-linear models, especially when saturated log-linear models are selected.

scholarly journals Estimating the number of injecting drug users in Scotland's HCV-diagnosed population using capture–recapture methods

2013 ◽  
Vol 142 (1) ◽  
pp. 200-207 ◽  
Author(s):  
S. A. McDONALD ◽  
S. J. HUTCHINSON ◽  
C. SCHNIER ◽  
A. McLEOD ◽  
D. J. GOLDBERG
Keyword(s):  
Linked Data ◽  
Drug Users ◽  
Surveillance Systems ◽  
Treatment Interventions ◽  
Public Health Professionals ◽  
Combining Data ◽  
Linear Modelling ◽  
Capture Recapture ◽  
Hcv Antibody ◽  
Log Linear

SUMMARYIn countries maintaining national hepatitis C virus (HCV) surveillance systems, a substantial proportion of individuals report no risk factors for infection. Our goal was to estimate the proportion of diagnosed HCV antibody-positive persons in Scotland (1991–2010) who probably acquired infection through injecting drug use (IDU), by combining data on IDU risk from four linked data sources using log-linear capture–recapture methods. Of 25 521 HCV-diagnosed individuals, 14 836 (58%) reported IDU risk with their HCV diagnosis. Log-linear modelling estimated a further 2484 HCV-diagnosed individuals with IDU risk, giving an estimated prevalence of 83. Stratified analyses indicated variation across birth cohort, with estimated prevalence as low as 49% in persons born before 1960 and greater than 90% for those born since 1960. These findings provide public-health professionals with a more complete profile of Scotland's HCV-infected population in terms of transmission route, which is essential for targeting educational, prevention and treatment interventions.

scholarly journals Validity and Reliability of the Major Depression Inventory for Persons With Dual Sensory Loss

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Hanna Birkbak Hovaldt ◽  
Tine Nielsen ◽  
Jesper Dammeyer
Keyword(s):  
Major Depression ◽  
Rasch Model ◽  
Sensory Loss ◽  
Rasch Models ◽  
Elderly Persons ◽  
Validity And Reliability ◽  
Item Functioning ◽  
Major Depression Inventory ◽  
Dual Sensory Loss ◽  
Log Linear

Abstract Background and Objectives Research has shown that dual sensory loss is a risk factor for depression in older adults. However, validated measures of depression for people with dual sensory loss are lacking. The purpose of the present study was to investigate the construct validity and reliability of the Major Depression Inventory for use among elderly persons with acquired dual sensory loss. Research Design and Methods A cross-sectional questionnaire survey was conducted in a national sample of people ≥50 years of age with functional acquired dual sensory loss. Of the invited participants, 302 (66%) returned the questionnaire and 207 complete cases were included for analysis. Rasch models and graphical log-linear Rasch models were used for item analysis. Lack of differential item functioning was tested relative to severity of vision and hearing impairment, mode of questionnaire completion, age, sex, comorbidity, instrumental activities of daily living, social position, and cohabitation status. Results The 10-item Major Depression Inventory did not fit the Rasch model. An 8-item version, excluding the items “feeling sad” and “sleep problems,” fit a graphical log-linear Rasch model. No evidence of differential item functioning was discovered, thus the 8-item Major Depression Inventory was measurement invariant across severity of impairments and mode of completing the questionnaire. The overall reliability was 0.81 and ranged from acceptable to good for all subgroups of participants, except males with severe hearing impairment and low functional status. Consequently, the 8-item version of the Major Depression Inventory was considered construct valid and reliable within the frame of reference. Discussion and Implications An 8-item version of the Major Depression Inventory can be used to screen for depressive symptoms in elderly persons with acquired dual sensory loss.

What is the ‘real’ admission rate of acute pancreatitis in a regional Australian population?

2013 ◽  
Vol 37 (2) ◽  
pp. 205
Author(s):  
Richard C. Turner ◽  
Katina D'Onise ◽  
Yan Wang
Keyword(s):  
Acute Pancreatitis ◽  
Hospital Discharge ◽  
Admission Rate ◽  
Data Sources ◽  
Case Ascertainment ◽  
Linear Modelling ◽  
Capture Recapture ◽  
Hospital Discharge Records ◽  
Log Linear ◽  
Incident Cases

Objective. Capture-recapture analysis was used to more accurately quantify the admission rate for acute pancreatitis in a regional hospital setting, in comparison to the usual method of case ascertainment. Reasons for differences in capture for the various methods were also sought. Methods. Admissions for acute pancreatitis were enumerated over a 40-month period using three data sources: hospital classification of admission diagnoses, prospective case identification, and receipt of diagnosis-specific pathology specimens. Capture-recapture analysis was applied with log-linear modelling to account for likely dependency between data sources. Covariates were noted to explain capture probability by the various data sources and for eventual stratification in the analysis process. Results. For the census period, there were 304 admissions after merging of data sources, giving a crude admission rate of 7.6 per month. Crude ascertainment rates for discharge records and prospective identification were 44% and 52% respectively. Following log-linear modelling, total admissions more than doubled to 644 (adjusted admission rate 16.1 per month). Of the covariates considered, admissions of less than three days’ duration and those occurring in December and January were significantly associated with increased capture by the hospital discharge records data source. Conclusions. In this clinical setting, admissions for acute pancreatitis are grossly underestimated by the standard case ascertainment method. The reasons for this are not clear. Hospital discharge records are nevertheless more effective than prospective case ascertainment for certain cases, such as brief admissions and those in holiday periods. What is known about the topic? Capture–recapture analysis was originally developed in animal ecology, but has since been used to estimate both prevalent and incident cases of human disease. What does this paper add? This study exposes possible deficiencies in the single-source case ascertainment methods used by most hospitals to enumerate incident cases. It is the first time that capture–recapture techniques have been used to estimate acute pancreatitis admissions. What are the implications for practitioners? To obtain accurate admissions estimates for diseases such as acute pancreatitis, capture–recapture analysis with multiple data sources is advisable. One possible solution may be to conduct intermittent prospective censuses to complement existing retrospective ascertainment methods. On a more general level, clinical staff should be better trained to provide more accurate and detailed information in case records.

The Importance of Numbers: Using Capture-recapture to make the Homeless Count in Adelaide

2007 ◽  
Vol 13 (1) ◽  
pp. 89 ◽  
Author(s):  
Katina D'Onise ◽  
Yan Wang ◽  
Robyn McDermott
Keyword(s):  
Confidence Interval ◽  
Linear Model ◽  
Service Sector ◽  
Homeless People ◽  
Australian Bureau ◽  
City Council ◽  
Homeless Population ◽  
Capture Recapture ◽  
Australian Bureau Of Statistics ◽  
Log Linear

An important problem for the homeless service sector is understanding the size of homeless populations, which has implications on planning services and social policy. The aim of this study is to apply capture-recapture methods to count the primary homeless population in the Adelaide city council area, to examine the use of an alternative method to the Australian Bureau of Statistics census. Capture-recapture techniques were used to analyse homeless registers from three different services to estimate the number of primary homeless people in the Adelaide city council area from 19 June to 19 September 2005. Log-linear model and the sample coverage method were employed to analyse the data. The log-linear model results gave a population estimate of 455 (95% confidence interval 299, 762), and the sample coverage method of 311 (95% confidence interval 229, 466), compared with 104 from the Australian Bureau of Statistics census. Multiple sources of information utilising different methodologies should be considered together when attempting to plan services for primary homeless people, as all available techniques have important limitations. Capture-recapture is an important method to supplement any attempt at enumeration of hidden, mobile or difficult-to-reach populations.

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