Analyzing coarsened categorical data with or without probabilistic information

Vach, Werner; Alder, Cornelia; Pichler, Sandra

doi:10.1177/1536867x221083902

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…There may also be opportunities to apply or adapt categorical data methods for coarsened outcomes. 23 In this paper the MLE was used to estimate the difference in IUPMs between assays. Similar to the one-sample problem, a bias-corrected (BC) MLE can be defined by taking the difference between the bias-corrected MLEs of 𝜏 1 and 𝜏 2 .…”

Section: Discussionmentioning

confidence: 99%

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Paired serial limiting dilution assays

May

Trumble

et al. 2022

Statistics in Medicine

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Serial limiting dilution (SLD) assays are a widely used tool in many areas of public health research to measure the concentration of target entities. This concentration can be estimated via maximum likelihood. Asymptotic as well as exact inference methods have been proposed for hypothesis testing and confidence interval construction in this one‐sample problem. However, in many scientific applications, it may be of interest to compare the concentration of target entities between a pair of samples and construct valid confidence intervals for the difference in concentrations. In this paper, an exact, computationally efficient inferential procedure is proposed for hypothesis testing and confidence interval construction in the two‐sample SLD assay problem. The proposed exact method is compared to an approach based on asymptotic approximations in simulation studies. The methods are illustrated using data from the University of North Carolina HIV Cure Center.

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Section: Discussionmentioning

confidence: 99%

“…For example, a network‐type algorithm 22 could be developed to avoid direct enumeration of all possible assay outcomes when computing p ‐values (similar to the screening step in Section 3.2). There may also be opportunities to apply or adapt categorical data methods for coarsened outcomes 23 …”

Section: Discussionmentioning

confidence: 99%

Paired serial limiting dilution assays

May

Trumble

et al. 2022

Statistics in Medicine

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Osteological age-at-death estimation in an archaeological sample avoiding age-mimicry: a six-step approach

Navitainuck,

Vach,

Alt

et al. 2024

Archaeol Anthropol Sci

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In human osteoarchaeology, individual age-at-death is traditionally assigned by scoring characteristic expressions of specific traits and applying formulas or algorithms. However, it is well known that the resulting age estimates in target samples suffer from bias due to the effect of age-mimicry, both at the individual and at the population level. A general statistical methodology to obtain unbiased estimates of the age-at-death distribution in skeletal samples has been available for more than two decades. Even so, the procedure is rarely used. This may be related to the fact that this methodology requires external input which has selection of distributional characteristics to be reported. In this paper, we translate the general methodology into a clearly stated six-step procedure to be followed. We illustrate the six steps using an archaeological sample of 675 adult individuals and 15 scoring methods from traditional age-estimation procedures. By clearly identifying the actions that are necessary for its application we intend to make the approach more accessible for osteoarchaeologists while at the same time highlighting some challenges that need to be addressed in the future. Our study demonstrates that the approach is feasible and illustrates the absence of age-mimicry. A combined analysis of five informative traits allowed to obtain estimates of several characteristics of the target sample age distribution. However, its routine use will benefit from improved input from relevant reference samples and improved statistical software.

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Impact of the new rural social pension insurance on the health of the rural older adult population: based on the China health and retirement longitudinal study

Song,

Wang

et al. 2023

Front. Public Health

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The health issues of China’s older adult population in rural areas have been receiving increasing attention with the continuous expansion of the nation’s ageing population and the continuous promotion of urban–rural integration. The impact of the new rural social pension insurance (NRSPI) on the health of the rural older adult population, the mechanism of its action and how old-age service can be improved and optimised according to the health needs of the rural older adult population are urgent and realistic challenges. Based on survey data from the China Health and Retirement Longitudinal Study in 2015 and 2018, this study applies a multivariate ordered logistic regression model to explore the impact mechanism and effect of the NRSPI on the older adult population health in rural China while controlling for endogeneity. The results show that participation in the NRSPI can significantly improve the health of the rural older adult population at a 1% level. The results of the heterogeneity test reveal that the NRSPI has a significant impact on the self-reported health of the rural older adult at a 1% level, with a significantly positive impact on the mental and physical health of rural female older adult, whereas the impact on male older adult is not significant. The mediating effect test results show that medical services, food access and entertainment activities have a mediating effect on the new rural social endowment insurance. The results of the moderating effect test indicate that the NRSPI regulates 7.8% of the effect of physical health on mental health and 10.7% of the effect of mental health on physical health. Based on these findings, this study proposes to strengthen the construction of healthy lifestyle guidance and emotional support systems while improving the NRSPI’s participation rate and treatment level to meet the diverse health service needs of different older adult groups.

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Analyzing coarsened categorical data with or without probabilistic information

Cited by 3 publications

References 18 publications

Paired serial limiting dilution assays

Paired serial limiting dilution assays

Osteological age-at-death estimation in an archaeological sample avoiding age-mimicry: a six-step approach

Impact of the new rural social pension insurance on the health of the rural older adult population: based on the China health and retirement longitudinal study

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