Stochastic Demography

Cohen, Joel E.

doi:10.1002/9781118445112.stat00139

Cited by 2 publications

(2 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Counts of births and deaths are assumed to be known without error and age patterns are fixed. In the cases that we treat, accurate data on births and deaths of the parish register kind are often unavailable and uncertainty due to stochastic vital rates is likely to be small relative to uncertainty due to measurement error (Pollard, 1968;Lee, 2004;Cohen, 2006). Moreover, it is designed to work with the kind of data that are commonly available for developing countries and does not rely on the existence of detailed births and deaths registers, although this information can be used when available (Wheldon et al, 2013b).…”

Section: Methods Of Population Reconstructionmentioning

confidence: 99%

Bayesian Reconstruction of Two-Sex Populations By Age: Estimating Sex Ratios at Birth and Sex Ratios of Mortality

Wheldon

Raftery

Clark

et al. 2015

Journal of the Royal Statistical Society Series A: Statistics in Society

View full text Add to dashboard Cite

Summary The original version of Bayesian reconstruction, a method for estimating age-specific fertility, mortality, migration and population counts of the recent past with uncertainty, produced estimates for female-only populations. Here we show how two-sex populations can be similarly reconstructed and probabilistic estimates of various sex ratio quantities obtained. We demonstrate the method by reconstructing the populations of India from 1971 to 2001, Thailand from 1960 to 2000, and Laos from 1985 to 2005. We found evidence that in India, sex ratio at birth exceeded its conventional upper limit of 1.06, and, further, increased over the period of study, with posterior probability above 0.9. In addition, almost uniquely, we found evidence that life expectancy at birth (e0) was lower for females than for males in India (posterior probability for 1971–1976 equal to 0.79), although there was strong evidence for a narrowing of the gap through to 2001. In both Thailand and Laos, we found strong evidence for the more usual result that e0 was greater for females and, in Thailand, that the difference increased over the period of study.

show abstract

Section: Methods Of Population Reconstructionmentioning

confidence: 99%

Bayesian Reconstruction of Two-Sex Populations By Age: Estimating Sex Ratios at Birth and Sex Ratios of Mortality

Wheldon

Raftery

Clark

et al. 2015

Journal of the Royal Statistical Society Series A: Statistics in Society

View full text Add to dashboard Cite

show abstract

“…To examine if the total and item scores of the BASE-6 are different between groups, analysis of variance (ANOVA) was conducted. In case of significant results from ANOVA, multiple comparisons with Scheffe's test were employed as Scheffe's test does not require the sample sizes to be equal across groups (Cohen, 2008).…”

Section: Data Analytic Planmentioning

confidence: 99%

Brief Adjustment Scale–6 for Measurement-Based Care: Psychometric Properties, Measurement Invariance, and Clinical Utility

Shin

Cooper

2022

Assessment

View full text Add to dashboard Cite

The Brief Adjustment Scale–6 (BASE-6) was recently developed for measuring general psychological functioning within measurement-based care (MBC). The present study further evaluated psychometric properties, generalizability to race/ethnic populations, and clinical utility of the BASE-6. Three adult samples, Sample 1: online community participants ( n = 394); Sample 2: college students ( n = 249); Sample 3: outpatient clinic clients ( n = 80), were included. The results demonstrated a high level of internal consistency, good test–retest reliability, and convergent validity in all samples. The unidimensional structure of BASE-6 was confirmed and factorial invariance was established across groups. Finally, the BASE-6 captured change over time by demonstrating a large effect size of pre–post treatment changes and significant linear change in multilevel growth modeling. These results support the BASE-6 as a reliable and valid measure regardless of race/ethnicity and can sensitively detect clinical change over the course of the treatment. Thus, the BASE-6 appears to accurately monitor overall psychological adjustment.

show abstract

Stochastic Demography

Cited by 2 publications

References 79 publications

Bayesian Reconstruction of Two-Sex Populations By Age: Estimating Sex Ratios at Birth and Sex Ratios of Mortality

Bayesian Reconstruction of Two-Sex Populations By Age: Estimating Sex Ratios at Birth and Sex Ratios of Mortality

Brief Adjustment Scale–6 for Measurement-Based Care: Psychometric Properties, Measurement Invariance, and Clinical Utility

Contact Info

Product

Resources

About