scholarly journals JMASM30 PI-LCA: A SAS Program Computing the Two-point Mixture Index of Fit for Two-class LCA Models with Dichotomous Variables (SAS)

2010 ◽  
Vol 9 (1) ◽  
pp. 314-331 ◽  
Author(s):  
Dongquan Zhang ◽  
C. Mitchell Dayton
2017 ◽  
Vol 71 (3) ◽  
pp. 459-471 ◽  
Author(s):  
Jenő Reiczigel ◽  
Márton Ispány ◽  
Gábor Tusnády ◽  
György Michaletzky ◽  
Marco Marozzi
Keyword(s):  

2021 ◽  
Vol 8 ◽  
Author(s):  
Luojia Jiang ◽  
Yupei Li ◽  
Heyue Du ◽  
Zheng Qin ◽  
Baihai Su

Background: Anticoagulation is generally used in hospitalized patients with coronavirus disease 2019 (COVID-19) as thromboprophylaxis. However, results from different studies comparing the effect of anticoagulation on the mortality of COVID-19 patients with non-anticoagulation are inconclusive.Methods: Our systematic review included observational trials if they studied anticoagulant therapy in hospitalized patients with COVID-19 for mortality or bleeding events. Dichotomous variables from individual studies were pooled by risk ratio (RR) and their 95% confidence interval (95% CI) using the random-effects model. Grading of Recommendations Assessment, Development and Evaluation was used to assess the quality of evidence.Results: A total of 11 observational studies enrolling 20,748 hospitalized COVID-19 patients overall were included. A pooled meta-analysis of these studies showed that anticoagulation therapy, compared with non-anticoagulation therapy, was associated with lower mortality risk (RR 0.70, 95% CI 0.52–0.93, p = 0.01). The evidence of benefit was stronger among critically ill COVID-19 patients in the intensive care units (RR 0.59, 95% CI 0.43–0.83, p = 0.002). Additionally, severe bleeding events were not associated with the administration of anticoagulants (RR 0.93, 95% CI 0.71–1.23, p = 0.63).Conclusion: Among patients with COVID-19 admitted to hospital, the administration of anticoagulants was associated with a decreased mortality without increasing the incidence of bleeding events.


Author(s):  
Maria Grakhova ◽  
Olga Rychkova ◽  
Anastasia Braun ◽  
Almira Sagitova ◽  
Maria Nesterova

Aim: Identification of age-specific drug intolerance. Materials and methods: The study was conducted over the period from 2017 to 2020 and included 200 outpatient medical history forms of people diagnosed as having an unspecified pathological reaction to a drug or medication. All drug reactions are reported by patients own statements and were allocated to dichotomous variables. The results were analyzed by nonparametric statistics. Results: Three groups of patients: 18-44 years (n=49); 45-60 years (n=60); 61 and over (n=91). The odds of incomprehensible reactions were 2.2 times higher in patients in group 3 than in patients in the other groups. Group 3 patients were 12 times more likely to have an itchy reaction to medications than patients in the other groups. Group 1 patients were 3 times more likely to have urticaria than patients in groups 2 and 3. The odds of drug intolerance to ACE inhibitors were 2.6 times higher in group 3 patients than in patients in other groups. When comparing clinical manifestations of drug intolerance to penicillin- and cephalosporin-type antibiotics, no significant differences were found in all patients. The presence of allergies and somatic pathology of 3 or more systems did not significantly affect the possibility of reactions of varying severity to 3 or more drugs in these groups. Conclusions: Patients age has no effect on the possibility of reactions to certain groups of drugs. The exception was ACE inhibitors, which is most likely due to the higher frequency of prescribing antihypertensive therapy in patients in this age group. The aggravation of clinical manifestations and the occurrence of polypharmacy are not associated with age and comorbid background. It should be noted that correlation between age and non-life-threatening clinical manifestations of drug intolerance was revealed, which indicates the absence of reliable effect of age on the possibility of anaphylactic shock or angioedema.


Author(s):  
Núria Pedrós Barnils ◽  
Eva Eurenius ◽  
Per E. Gustafsson

Abstract Background Inequalities in health across social class, gender and regional context in Spain are well-known; however, there is a lack of research examining how these dimensions of inequality interact. This study explores self-rated health (SRH) inequalities across intersectional positions of gender, social class and region, and the contribution of material and psychosocial factors to these inequalities. Methods Participants were drawn from the cross-sectional 2015 National Living Conditions Survey of Spanish residents aged 19–88 years (N = 27,215; 77% response rate). Eight intersectional positions were formed by combining dichotomous variables of gender, social class and regional development. Poisson regression was used to estimate intersectional inequalities in SRH as prevalence ratios, and the contributions of material and psychosocial factors. Results Results showed both cumulative and heterogeneous inequalities within and across intersectional positions. Inequalities in the intersection of social class and regional development were best explained by the joint contributions of material and psychosocial factors, while gender inequalities within non-manual social class were better explained by material factors alone. Conclusions The results illustrate the complexity of interacting inequalities in health and their underpinnings in Spain. Local and national policies taking this complexity into account are needed to broadly improve equity in health in Spain.


1987 ◽  
Vol 24 (1) ◽  
pp. 40-54 ◽  
Author(s):  
Wayne S. Desarbo ◽  
Donna L. Hoffman

The authors present a new multidimensional unfolding methodology that can analyze various types of individual choice data. The model represents choice data, defined by dichotomous variables that indicate whether a particular brand was chosen or not, in terms of a joint space of consumers and brands. Explicit treatment of marketing and subject background variables is allowed through optional model reparameterizations of consumers and brands. Together with the joint space representation of both consumers and brands, these optional reparameterizations can provide information on appropriate market segmentation bases and respective product positioning strategies. The authors apply this spatial choice model to data on consumer (intended) choices for 12 residential communications devices and demonstrate how the results can be used for optimal positioning decisions.


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