Two Multilevel Modeling Techniques for Analyzing Comparative Longitudinal Survey Datasets

2013 ◽  
Vol 2 (1) ◽  
pp. 119-140 ◽  
Author(s):  
Malcolm Fairbrother

Increasing numbers of comparative survey datasets span multiple waves. Moving beyond purely cross-sectional analyses, multilevel longitudinal analyses of such datasets should generate substantively important insights into the political, social and economic correlates of many individual-level outcomes of interest (attitudes, behaviors, etc.). This article describes two simple techniques for extracting such insights, which allow change over time in y to be a function of change over time in x and/or of a time-invariant x. The article presents results from simulation studies that assess the techniques in the presence of complications that are likely to arise with real-world data, and concludes with applications to the issues of generalized social trust and postmaterialist values, using data from World/European Values Surveys.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 253-253
Author(s):  
Maureen Canavan ◽  
Xiaoliang Wang ◽  
Mustafa Ascha ◽  
Rebecca A. Miksad ◽  
Timothy N Showalter ◽  
...  

253 Background: Among patients with cancer, receipt of systemic oncolytic therapy near the end-of-life (EOL) does not improve outcomes and worsens patient and caregiver experience. Accordingly, the ASCO/NQF measure, Proportion Receiving Chemotherapy in the Last 14 Days of Life, was published in 2012. Over the last decade there has been exponential growth in high cost targeted and immune therapies which may be perceived as less toxic than traditional chemotherapy. In this study, we identified rates and types of EOL systemic therapy in today’s real-world practice; these can serve as benchmarks for cancer care organizations to drive improvement efforts. Methods: Using data from the nationwide Flatiron Health electronic health record (EHR)-derived de-identified database we included patients who died during 2015 through 2019, were diagnosed after 2011, and who had documented cancer treatment. We identified the use of aggressive EOL systemic treatment (including, chemotherapy, immunotherapy, and combinations thereof) at both 30 days and 14 days prior to death. We estimated standardized EOL rates using mixed-level logistic regression models adjusting for patient and practice-level factors. Year-specific adjusted rates were estimated in annualized stratified analysis. Results: We included 57,127 patients, 38% of whom had documentation of having received any type of systemic cancer treatment within 30 days of death (SD: 5%; range: 25% - 56%), and 17% within 14 days of death (SD: 3%; range: 10% - 30%). Chemotherapy alone was the most common EOL treatment received (18% at 30 days, 8% at 14 days), followed by immunotherapy (± other treatment) (11% at 30 days, 4% at 14 days). Overall rates of EOL treatment did not change over the study period: treatment within 30 days (39% in 2015 to 37% in 2019) and within 14 days (17% in 2015 to 17% in 2019) of death. However, the rates of chemotherapy alone within 30 days of death decreased from 24% to 14%, and within 14 days, from 10% to 6% during the study period. In comparison, rates for immunotherapy with chemotherapy (0%-6% for 30 days, 0% -2% for 14 days), and immunotherapy alone or with other treatment types (4%-13% for 30 days, 1%-4% for 14 days) increased over time for both 30 and 14 days. Conclusions: End of life systemic cancer treatment rates have not substantively changed over time despite national efforts and expert guidance. While rates of traditional chemotherapy have decreased, rates of costly immunotherapy and targeted therapy have increased, which has been associated with higher total cost of care and overall healthcare utilization. Future work should examine the drivers of end-of-life care in the era of immune-oncology.


2007 ◽  
Vol 97 (4) ◽  
pp. 1217-1249 ◽  
Author(s):  
Michael Conlin ◽  
Ted O'Donoghue ◽  
Timothy J Vogelsang

Evidence suggests that people understand qualitatively how tastes change over time, but underestimate the magnitudes. This evidence is limited, however, to laboratory evidence or surveys of reported happiness. We test for such projection bias in field data. Using data on catalog orders of cold-weather items, we find evidence of projection bias over the weather—specifically, people's decisions are overinfluenced by the current weather. Our estimates suggest that if the order-date temperature declines by 30°F, the return probability increases by 3.95 percent. We also estimate a structural model to measure the magnitude of the bias. (JEL D12, L81)


2019 ◽  
Vol 32 (2) ◽  
pp. e12827 ◽  
Author(s):  
Fereshteh Salarvand ◽  
Zahra Fatehi ◽  
Maryam Shahali ◽  
Kamran Balighi ◽  
Maryam Ghiasi ◽  
...  

2019 ◽  
Vol 20 (4) ◽  
pp. e295-e328
Author(s):  
Alexandra Fedorets

Abstract This study provides novel evidence on the relevance of task content changes between and within occupations to wage dynamics of occupational changers and stayers. I use individual-level, cross-sectional data featuring tasks performed on the job to compute a measure of proximity of job contents. Then, I merge this measure to a large-scale panel survey to show that occupational changers experience a wage growth that is declining when the accompanying alterations in task contents are big. For occupational stayers, alterations in task contents generate a positive wage component, beyond tenure effect. However, the results are not robust with respect to the choice of proximity measure and over time.


2010 ◽  
Vol 43 (2) ◽  
pp. 319-347 ◽  
Author(s):  
Christel Kesler ◽  
Irene Bloemraad

Abstract. This article is an attempt to qualify existing evidence that increasing diversity is detrimental to a vibrant civil society. We focus specifically on immigration-generated diversity, and argue that while it may have negative effects on some specific civic and political outcomes in some contexts, these effects vary widely across advanced democracies. Our argument rests on analysis of a cross-national, cross-sectional time-series dataset that brings together individual-level World Values Survey data with country-level variables. With these data, we track within-country changes over time in trust and engagement. We show that immigration can have a negative effect on social trust, organizational membership and political engagement, but that institutional arrangements shape this relationship in systematic ways. In more economically equal societies and in more multicultural countries (where cultural minorities are recognized and accommodated), the negative effects of immigration on trust and engagement are mitigated or even reversed. We conclude that there is no general link between immigration-generated diversity and collective-mindedness. Rather, the direction and strength of the relationship depend on institutional and policy contexts.Résumé. Cet article vise à nuancer les preuves existantes que la diversité croissante porte préjudice à une société civile dynamique. Nous nous concentrons particulièrement sur la diversité produite par l'immigration. Nous soutenons que même si elle peut exercer une influence négative sur quelques indices dans certains contextes, ces effets varient considérablement selon le pays examiné parmi les démocraties avancées. Notre argument repose sur l'analyse d'un ensemble de données multinational, transversal et longitudinal qui rassemble des données au niveau individuel du World Values Survey avec des variables au niveau des pays. Au moyen de ces données, nous examinons les changements survenus à l'intérieur des pays, au fil du temps, sur le plan de la confiance et de l'engagement. Nous montrons que l'immigration peut avoir un effet négatif sur la confiance sociale, l'adhésion à des organisations et l'engagement politique, mais que les arrangements institutionnels influencent cette relation de manières systématiques. Dans les sociétés plus économiquement égales et dans les pays plus multiculturels (où les minorités culturelles sont reconnues et accommodées), les effets négatifs de l'immigration sur la confiance et l'engagement sont atténués, voire inversés. Nous concluons qu'il n'y a aucun lien général entre la diversité produite par l'immigration et l'esprit collectif. La direction et la force de la relation entre les deux dépendent plutôt des politiques et des contextes institutionnels.


2012 ◽  
Vol 12 (1) ◽  
pp. 1-27 ◽  
Author(s):  
ALAN L. GUSTMAN ◽  
THOMAS L. STEINMEIER ◽  
NAHID TABATABAI

AbstractStudies using data from the early 1990s suggested that while the progressive Social Security benefit formula succeeded in redistributing benefits from individuals with high earnings to individuals with low earnings, it was much less successful in redistributing benefits from households with high earnings to households with low earnings. Wives often earned much less than their husbands. As a result, much of the redistribution at the individual level was effectively from high earning husbands to their own lower earning wives. In addition, spouse and survivor benefits accrue disproportionately to women from high income households. Both factors mitigate redistribution at the household level. It has been argued that with the increase in the labor force participation and earnings of women, Social Security now should do a better job of redistributing benefits at the household level. To be sure, when we compare outcomes for a cohort with a household member age 51 to 56 in 1992 with those from a cohort born twelve years later, redistribution at the household level has increased over time. Nevertheless, as of 2004 there still is substantially less redistribution of benefits from high to low earning households than from high to low earning individuals.


2020 ◽  
Author(s):  
Robert O Barker ◽  
Barbara Hanratty ◽  
Andrew Kingston ◽  
Sheena Ramsay ◽  
Fiona E Matthews

Background Care home residents have complex care and support needs, as demonstrated by their vulnerability during the COVID-19 pandemic. There is a perception that the needs of residents have increased, but evidence is limited. We investigated changes in health and functioning of care home residents over two decades in England and Wales. Methods We conducted a repeated cross-sectional analysis over a 24-year period (1992-2016), using data from three longitudinal studies, the Cognitive Function and Ageing Studies (CFAS) I and II and English Longitudinal Study of Ageing (ELSA). To adjust for ageing of respondents over time results are presented for the 75-84 age group. Results Analysis of 2,280 observations from 1,745 care home residents demonstrated increases in severe disability (difficulty in at least two from washing, dressing and toileting). The prevalence of severe disability increased from 63% in 1992 to 87% in 2014 (subsequent fall in 2016 although wide confidence intervals). The prevalence of complex multimorbidity (problems in at least three out of six body systems) increased within studies over time, from 33% to 54% in CFAS I/II between 1992 and 2012, and 26% to 54% in ELSA between 2006 and 2016. Conclusion Over two decades, there has been an increase in disability and the complexity of health problems amongst care home residents in England and Wales. A rise in support needs for residents places increasing demands on care home staff and health professionals. This is an important concern for policymakers when considering the impact of COVID-19 infection in care homes.


Author(s):  
D. Sunshine Hillygus ◽  
Steven Snell

Longitudinal or panel surveys, in which the same individuals are interviewed repeatedly over time, are increasingly common in the social sciences. The benefit of such surveys is that they track the same respondents so that researchers can measure individual-level change over time, offering greater causal leverage than cross-sectional surveys. Panel surveys share the challenges of other surveys while also facing several unique issues in design, implementation, and analysis. This chapter considers three such challenges: (1) the tension between continuity and innovation in the questionnaire design; (2) panel attrition, whereby some individuals who complete the first wave of the survey fail to participate in subsequent waves; and (3) specific types of measurement error—panel conditioning and seam bias. It includes an overview of these issues and their implications for data quality and outlines approaches for diagnosing and correcting for these issues in the design and analysis of panel surveys.


2021 ◽  
pp. 85-100
Author(s):  
Alvaro Muñoz ◽  
F. Javier Nieto

The simplest cohort design is to obtain exposure data at baseline and follow-up individuals to obtain data up to the point when the event of interest occurs. A richer design includes regularly scheduled visits at which data on exposures are updated. The exposures can be either fixed over time (e.g. race), change directly with time (e.g. age and calendar), or change at their own pace (e.g. biological markers). According to the scientific aims of a cohort study, disease occurrence can be measured as an event in person-time, time-to-endpoint of interest, or change in a biomarker repeatedly measured at follow-up visits. Analytical methods include survival analyses to handle censored observations and late entries due to incomplete observation of the development of events and origin, and longitudinal data analyses for the trajectories of markers of disease progression. Stratification, multivariate regression, and causal inference methods are key tools to accomplish comparability among exposed and unexposed groups. Identification of exposures and risk factors for disease provides a basis for prevention strategies. Data from cohort studies can be used to assess the effects of interventions by using data at the individual level to determine individual effectiveness or by comparing occurrence of disease in the population when typically none or only a few are intervened to determine population effectiveness.


2017 ◽  
Vol 47 (2) ◽  
pp. 174-181 ◽  
Author(s):  
Karina Nygren ◽  
Curt Hagquist

Aims: The aim of the present study was to examine changes over time in the relationship between self-reported school demands and psychosomatic problems, also considering the impact of student influence and teacher support. Methods: Data from a cross-sectional study (Young in Värmland) including eight data collections (1988–2011) among Swedish students aged 15–16 were used ( n = 20,115). Analyses with multinomial logistic regression and descriptive statistics were applied. Results: Between 1988 and 2011, the proportions of students with a higher degree of psychosomatic problems increased, as did the proportion of students experiencing school demands that were too high. Finer-level analyses based on stratification of student groups did not show any associations at the aggregated level between increases of school demands and psychosomatic problems. Similarly, individual level analyses showed that the strength of the association between school demands and psychosomatic problems was not affected by year of investigation. Conclusions: Changes in school demands over time could not explain the increasing trend in psychosomatic problems among adolescents. Since the relationship between school demands and psychosomatic problems is strong across time, there is, however, a continued need for school-based interventions. More studies are required to gain further understanding of adolescent mental health from a trend perspective.


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