25 research outputs found

    An improved unrelated question randomized response model

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    In this paper we restrict the design probabilities of Mahmood, Singh and Horn (1998) unrelated question randomized response model. Besides its simplicity, the resulted restricted model has two advantages over Mahmood et al. (1998) model with other design probabilities. First, the restricted model requires selecting only one simple random sample and not two which reduces the cost of survey. Second, the efficiency of the estimator of the proportion of the population bearing a sensitive characteristic is increased. In addition, efficiency comparisons showed that this estimator can be easily adjusted to be more efficient than other competitors that were developed after 1998. A simulation study is performed to determine the minimum sample size required for the estimator to lie inside the unit interval. Moreover, the restricted model is extended to stratified random sampling and the resulting estimator is shown to be more efficient than the Kim and Elam (2007) and Singh and Tarray (2016) estimators

    Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK

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    The Extended Crosswise Model (ECWM) is a randomized response model with neutral response categories, relatively simple instructions, and the availability of a goodness-of-fit test. This paper refines this model with a number sequence randomizer that virtually precludes the possibility to give evasive responses. The motivation for developing this model stems from a strategic priority of WADA (World Anti-Doping Agency) to monitor the prevalence of doping use by elite athletes. For this model we derived a maximum likelihood estimator that allows for binary logistic regression analysis. Three studies were conducted on online platforms with a total of over 6, 000 respondents; two on controlled substance use and one on compliance with COVID-19 regulations in the UK during the first lockdown. The results of these studies are promising. The goodness-of-fit tests showed little to no evidence for response biases, and the ECWM yielded higher prevalence estimates than direct questions for sensitive questions, and similar ones for non-sensitive questions. Furthermore, the randomizer with the shortest number sequences yielded the smallest response error rates on a control question with known prevalence

    The analysis of randomized response “ever” and “last year” questions: A non-saturated Multinomial model

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    Randomized response (RR) is a well-known interview technique designed to eliminate evasive response bias that arises from asking sensitive questions. The most frequently asked questions in RR are either whether respondents were “ever” carriers of the sensitive characteristic, or whether they were carriers in a recent period, for instance, “last year”. The present paper proposes a design in which both questions are asked, and derives a multinomial model for the joint analysis of these two questions. Compared to the separate analyses with the binomial model, the model makes a useful distinction between last year and former carriers of the sensitive characteristic, it is more efficient in estimating the prevalence of last year carriers, and it has a degree of freedom that allows for a goodness-of-fit test. Furthermore, it is easily extended to a multinomial logistic regression model to investigate the effects of covariates on the prevalence estimates. These benefits are illustrated in two studies on the use of anabolic androgenic steroids in the Netherlands, one using Kuk and one using both the Kuk and forced response. A salient result of our analyses is that the multinomial model provided ample evidence of response biases in the forced response condition

    Comparing the efficacy of mesotherapy to topical minoxidil in the treatment of female pattern hair loss using ultrasound biomicroscopy: A randomized controlled trial

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    The efficacy of mesotherapy in the treatment of female pattern hair loss (FPHL) has not yet been evaluated. Aim of the study was to compare the initial efficacy and safety of mesotherapy containing nutritional supplements to topical minoxidil 5% solution in FPHL. 30 patients with FPHL were randomly classified into two equal groups: Group A applied minoxidil 5% lotion twice daily; Group B was injected with mesotherapy once weekly. For both groups ultrasound biomicroscopy (UBM) was performed before and at the end of the 12th week of treatment. After treatment, no significant difference was found between both groups with regard to either improvement of hair density and hair loss (P=0.27 and 0.056, respectively), nor the degree of improvement of Ludwig’s classification as assessed by the investigator (P=0.210). A significant difference was observed between both groups (P=0.001) with the highest degree of satisfaction in the mesotherapy group. In group A, no significant difference was found in the number of hair follicles or the diameter of the largest hair follicle (P=0.244 and 0.925, respectively). In group B, a significant difference was found in the number of hair follicles (P=0.001), with no significant difference in the diameter of the largest hair follicle (P=0.105). The mesotherapy group showed more improvement with regard to the increase in the number of the hair follicles after treatment (P=0.007). Limitation of the study is small sample size, and relatively short duration of treatment. Mesotherapy, containing nutritional supplements only, is an effective, more acceptable to patients, and more tolerable modality compared with topical minoxidil in the treatment of FPHL. </p

    Refinement of the extended crosswise model with a number sequence randomizer : evidence from three different studies in the UK

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    The Extended Crosswise Model (ECWM) is a randomized response model with neutral response categories, relatively simple instructions, and the availability of a goodness-of-fit test. This paper refines this model with a number sequence randomizer that virtually precludes the possibility to give evasive responses. The motivation for developing this model stems from a strategic priority of WADA (World Anti-Doping Agency) to monitor the prevalence of doping use by elite athletes. For this model we derived a maximum likelihood estimator that allows for binary logistic regression analysis. Three studies were conducted on online platforms with a total of over 6, 000 respondents; two on controlled substance use and one on compliance with COVID-19 regulations in the UK during the first lockdown. The results of these studies are promising. The goodness-of-fit tests showed little to no evidence for response biases, and the ECWM yielded higher prevalence estimates than direct questions for sensitive questions, and similar ones for non-sensitive questions. Furthermore, the randomizer with the shortest number sequences yielded the smallest response error rates on a control question with known prevalence

    Hydrogels and Dentin-Pulp Complex Regeneration: From the Benchtop to Clinical Translation

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    Dentin-pulp complex is a term which refers to the dental pulp (DP) surrounded by dentin along its peripheries. Dentin and dental pulp are highly specialized tissues, which can be affected by various insults, primarily by dental caries. Regeneration of the dentin-pulp complex is of paramount importance to regain tooth vitality. The regenerative endodontic procedure (REP) is a relatively current approach, which aims to regenerate the dentin-pulp complex through stimulating the differentiation of resident or transplanted stem/progenitor cells. Hydrogel-based scaffolds are a unique category of three dimensional polymeric networks with high water content. They are hydrophilic, biocompatible, with tunable degradation patterns and mechanical properties, in addition to the ability to be loaded with various bioactive molecules. Furthermore, hydrogels have a considerable degree of flexibility and elasticity, mimicking the cell extracellular matrix (ECM), particularly that of the DP. The current review presents how for dentin-pulp complex regeneration, the application of injectable hydrogels combined with stem/progenitor cells could represent a promising approach. According to the source of the polymeric chain forming the hydrogel, they can be classified into natural, synthetic or hybrid hydrogels, combining natural and synthetic ones. Natural polymers are bioactive, highly biocompatible, and biodegradable by naturally occurring enzymes or via hydrolysis. On the other hand, synthetic polymers offer tunable mechanical properties, thermostability and durability as compared to natural hydrogels. Hybrid hydrogels combine the benefits of synthetic and natural polymers. Hydrogels can be biofunctionalized with cell-binding sequences as arginine-glycine-aspartic acid (RGD), can be used for local delivery of bioactive molecules and cellularized with stem cells for dentin-pulp regeneration. Formulating a hydrogel scaffold material fulfilling the required criteria in regenerative endodontics is still an area of active research, which shows promising potential for replacing conventional endodontic treatments in the near future

    Natural Pigments Production by Local Bacterial Isolates for Use as Antibacterial and Antioxidant

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    Among 46 local bacterial isolates capable synthetized pigments, 26% produced extracellular of blue green and fluorescent whereas 74% produced intra-cellular pigments of red, brown, yellow, orange, and rose. Seven isolates were selected as a potential candidate for the synthesis of pigments. They were Pseudomonas fluoresces, P. aeruginosa, Serratia marcescens, Azotobacter chroococcum, Micrococcus kristinae, M. luteus, and M. roseus after their morphological and biochemical studies. They capable to produce fluorescent, blue green, red, brown, orange, yellow, and rose with maximum absorbance at 400, 520, 530, 320, 440, 460, and 470 nm, with an optical density of 0.62, 1.42,1.35, 1.11, 0.45, 0.98, and 0.40, respectively. Antibacterial activity of pigments was studied against 7 bacterial pathogenic strains namely P. aeruginosa ATCC27853, Escherichia coli 0157h7 ATCC25922, Klebsiella pneumonia ATCC00607, Salmonella typhimurium ATCC25566, Listeria monocytogenes ATCC19115, Staphylococcus aureus ATCC29737, and Bacillus cereus ATCC33018. The last tested strain behaved high significant (p≤ 0.05) sensitivity for blue green, fluorescent, brown, and rose pigments while, L. monocytogenes ATCC19115 was more susceptible for red, and yellow pigments and S. aureus ATCC29737 had more inhibited by orange pigment. These bacterial pigments seemed to have antioxidant activity which inhibited the formation of diphenyl-2-picrylhydrazyl radicals with percentage ranged from 40 % to 80 %. It could therefore be stated that the bacterial pigments tested had a broad impact on foodborne pathogens and had an antioxidant effec
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