Criteria for Parameter Identification in Bayesian Lasso Methods for Covariance Analysis: Comparing Rules for Thresholding, p-value, and Credible Interval

Author(s):  
Lijin Zhang ◽  
Junhao Pan ◽  
Edward Haksing Ip
F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 90
Author(s):  
Anisa Rowhani-Farid ◽  
Adrian G. Barnett

Background: The reproducibility policy at the journal Biostatistics rewards articles with badges for data and code sharing.  This study investigates the effect of badges at increasing reproducible research. Methods:  The setting of this observational study is the Biostatistics and Statistics in Medicine (control journal) online research archives.  The data consisted of 240 randomly sampled articles from 2006 to 2013 (30 articles per year) per journal.  Data analyses included: plotting probability of data and code sharing by article submission date, and Bayesian logistic regression modelling. Results:  The probability of data sharing was higher at Biostatistics than the control journal but the probability of code sharing was comparable for both journals.  The probability of data sharing increased by 3.9 times (95% credible interval: 1.5 to 8.44 times, p-value probability that sharing increased: 0.998) after badges were introduced at Biostatistics.  On an absolute scale, this difference was only a 7.6% increase in data sharing (95% CI: 2 to 15%, p-value: 0.998).  Badges did not have an impact on code sharing at the journal (mean increase: 1 time, 95% credible interval: 0.03 to 3.58 times, p-value probability that sharing increased: 0.378).  64% of articles at Biostatistics that provide data/code had broken links, and at Statistics in Medicine, 40%; assuming these links worked only slightly changed the effect of badges on data (mean increase: 6.7%, 95% CI: 0.0% to 17.0%, p-value: 0.974) and on code (mean increase: -2%, 95% CI: -10.0 to 7.0%, p-value: 0.286). Conclusions:  The effect of badges at Biostatistics was a 7.6% increase in the data sharing rate, 5 times less than the effect of badges at Psychological Science.  Though badges at Biostatistics did not impact code sharing, and had a moderate effect on data sharing, badges are an interesting step that journals are taking to incentivise and promote reproducible research.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 90 ◽  
Author(s):  
Anisa Rowhani-Farid ◽  
Adrian G. Barnett

Background:  Reproducible research includes sharing data and code.  The reproducibility policy at the journal Biostatistics rewards articles with badges for data and code sharing.  This study investigates the effect of badges at increasing reproducible research, specifically, data and code sharing, at Biostatistics. Methods:  The setting of this observational study is the Biostatistics and Statistics in Medicine (control journal) online research archives.  The data consisted of 240 randomly sampled articles from 2006 to 2013 (30 articles per year) per journal, a total sample of 480 articles.  Data analyses included: plotting probability of data and code sharing by article submission date, and Bayesian logistic regression modelling to test for a difference in the probability of making data and code available after the introduction of badges at Biostatistics.  Results:  The probability of data sharing was higher at Biostatistics than the control journal but the probability of code sharing was comparable for both journals.  The probability of data sharing increased by 3.5 times (95% credible interval: 1.4 to 7.4 times, p-value probability that sharing increased: 0.996) after badges were introduced at Biostatistics.  On an absolute scale, however, this difference was only a 7.3% increase in data sharing (95% CI: 2 to 14%, p-value: 0.996).  Badges did not have an impact on code sharing at the journal (mean increase: 1.1 times, 95% credible interval: 0.45 to 2.14 times, p-value probability that sharing increased: 0.549).  Conclusions:  The effect of badges at Biostatistics was a 7.3% increase in the data sharing rate, 5 times less than the effect of badges on data sharing at Psychological Science (37.9% badge effect).  Though the effect of badges at Biostatistics did not impact code sharing, and was associated with only a moderate effect on data sharing, badges are an interesting step that journals are taking to incentivise and promote reproducible research.


Author(s):  
Mahikul ◽  
White ◽  
Poovorawan ◽  
Soonthornworasiri ◽  
Sukontamarn ◽  
...  

Diabetes mellitus (DM) is rising worldwide, exacerbated by aging populations. We estimated and predicted the diabetes burden and mortality due to undiagnosed diabetes together with screening program efficacy and reporting completeness in Thailand, in the context of demographic changes. An age and sex structured dynamic model including demographic and diagnostic processes was constructed. The model was validated using a Bayesian Markov Chain Monte Carlo (MCMC) approach. The prevalence of DM was predicted to increase from 6.5% (95% credible interval: 6.3–6.7%) in 2015 to 10.69% (10.4–11.0%) in 2035, with the largest increase (72%) among 60 years or older. Out of the total DM cases in 2015, the percentage of undiagnosed DM cases was 18.2% (17.4–18.9%), with males higher than females (p-value < 0.01). The highest group with undiagnosed DM was those aged less than 39 years old, 74.2% (73.7–74.7%). The mortality of undiagnosed DM was ten-fold greater than the mortality of those with diagnosed DM. The estimated coverage of diabetes positive screening programs was ten-fold greater for elderly compared to young. The positive screening rate among females was estimated to be significantly higher than those in males. Of the diagnoses, 87.4% (87.0–87.8%) were reported. Targeting screening programs and good reporting systems will be essential to reduce the burden of disease.


Author(s):  
Stephen Thomas ◽  
Ankur Patel ◽  
Corey Patrick ◽  
Gary Delhougne

AbstractDespite advancements in surgical technique and component design, implant loosening, stiffness, and instability remain leading causes of total knee arthroplasty (TKA) failure. Patient-specific instruments (PSI) aid in surgical precision and in implant positioning and ultimately reduce readmissions and revisions in TKA. The objective of the study was to evaluate total hospital cost and readmission rate at 30, 60, 90, and 365 days in PSI-guided TKA patients. We retrospectively reviewed patients who underwent a primary TKA for osteoarthritis from the Premier Perspective Database between 2014 and 2017 Q2. TKA with PSI patients were identified using appropriate keywords from billing records and compared against patients without PSI. Patients were excluded if they were < 21 years of age; outpatient hospital discharges; evidence of revision TKA; bilateral TKA in same discharge or different discharges. 1:1 propensity score matching was used to control patients, hospital, and clinical characteristics. Generalized Estimating Equation model with appropriate distribution and link function were used to estimate hospital related cost while logistic regression models were used to estimate 30, 60, and 90 days and 1-year readmission rate. The study matched 3,358 TKAs with PSI with TKA without PSI patients. Mean total hospital costs were statistically significantly (p < 0.0001) lower for TKA with PSI ($14,910; 95% confidence interval [CI]: $14,735–$15,087) than TKA without PSI patients ($16,018; 95% CI: $15,826–$16,212). TKA with PSI patients were 31% (odds ratio [OR]: 0.69; 95% CI: 0.51–0.95; p-value = 0.0218) less likely to be readmitted at 30 days; 35% (OR: 0.65; 95% CI: 0.50–0.86; p-value = 0.0022) less likely to be readmitted at 60 days; 32% (OR: 0.68; 95% CI: 0.53–0.88; p-value = 0.0031) less likely to be readmitted at 90 days; 28% (OR: 0.72; 95% CI: 0.60–0.86; p-value = 0.0004) less likely to be readmitted at 365 days than TKA without PSI patients. Hospitals and health care professionals can use retrospective real-world data to make informed decisions on using PSI to reduce hospital cost and readmission rate, and improve outcomes in TKA patients.


Author(s):  
Jason D. Tegethoff ◽  
Rafael Walker-Santiago ◽  
William M. Ralston ◽  
James A. Keeney

AbstractIsolated polyethylene liner exchange (IPLE) is infrequently selected as a treatment approach for patients with primary total knee arthroplasty (TKA) prosthetic joint instability. Potential advantages of less immediate surgical morbidity, faster recovery, and lower procedural cost need to be measured against reoperation and re-revision risk. Few published studies have directly compared IPLE with combined tibial and femoral component revision to treat patients with primary TKA instability. After obtaining institutional review board (IRB) approval, we performed a retrospective comparison of 20 patients treated with IPLE and 126 patients treated with tibial and femoral component revisions at a single institution between 2011 and 2018. Patient demographic characteristics, medical comorbidities, time to initial revision TKA, and reoperation (90 days, <2 years, and >2 years) were assessed using paired Student's t-test or Fisher's exact test with a p-value <0.01 used to determine significance. Patients undergoing IPLE were more likely to undergo reoperation (60.0 vs. 17.5%, p = 0.001), component revision surgery (45.0 vs. 8.7%, p = 0.002), and component revision within 2 years (30.0 vs. 1.6%, p < 0.0001). Differences in 90-day reoperation (p = 0.14) and revision >2 years (p = 0.19) were not significant. Reoperation for instability (30.0 vs. 4.0%, p < 0.001) and infection (20.0 vs. 1.6%, p < 0.01) were both higher in the IPLE group. IPLE does not provide consistent benefits for patients undergoing TKA revision for instability. Considerations for lower immediate postoperative morbidity and cost need to be carefully measured against long-term consequences of reoperation, delayed component revision, and increased long-term costs of multiple surgical procedures. This is a level III, case–control study.


2018 ◽  
Vol 2 (3) ◽  
pp. 111
Author(s):  
Aswindar Adhi Gumilang ◽  
Tri Pitara Mahanggoro ◽  
Qurrotul Aini

The public demand for health service professionalism and transparent financial management made some Puskesmas in Semarang regency changed the status of public health center to BLUD. The implementation of Puskesmas BLUD and non-BLUD requires resources that it can work well in order to meet the expectations of the community. The aim of this study is to know the difference of work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD. Method of this research is a comparative descriptive with a quantitative approach. The object of this research are work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD Semarang regency. This Research showed that Sig value. (P-value) work motivation variable was 0.019 smaller than α value (0.05). It showed that there was a difference of work motivation of employees in Puskemas BLUD and non-BLUD. Sig value (P-value) variable of job satisfaction was 0.020 smaller than α value (0.05). It showed that there was a difference of job satisfaction of BLUD and non-BLUD. The average of non-BLUD employees motivation were 76.59 smaller than the average of BLUD employees were 78.25. The average of job satisfaction of BLUD employees were 129.20 bigger than the average of non-BLUD employee were 124.26. Job satisfaction of employees in Puskesmas BLUD was higher than non-BLUD employees.


2018 ◽  
Vol 1 (2) ◽  
pp. 58
Author(s):  
Setia Budi ◽  
Ria Dila Syahfitri

The rate of stroke incidence is about 200 per 100,000 people throughout the world. This study aims to determine the Relation Suffer Stroke With Independence Level In Neurology Polyclinic TK II DR Ak Gani Palembang Year Hospital 2017. The research method used is descriptive quantitative with cross sectional design that is done by interviewing techniques with questionnaires on 42 respondents with Accidental sampling technique. This research was conducted in August 2017. Data analysis used is univariate data analysis and bivariate data analysis with one way anova test result. The results of univariate analysis showed that the duration of the respondents suffering from stroke was between 2.10 years to 3.38 years. Also found that most respondents were at the level of independence f; independent, except bathing, dressing, moving, and one other function with a total of 12 respondents. The results showed that there was a significant relationship between the long suffering stroke with the level of independence with the value of p value 0.025. For that the need for rehabilitation to patients and families of patients in order to help improve the independence of stroke patients in doing their daily activities. Keywords : Long Suffer Stroke, Level of Independence


2018 ◽  
Vol 1 (1) ◽  
pp. 60
Author(s):  
Widya Arisandy

Knowledge is the result of �know� and this is happening after they made a sensing towards an object certain .Sensing towards an object occur through panca human senses the sight , hearing , of smell , taste and touched with own .Knowledge about the implementation of the nurse strategy is obliged to understandable and in understand by a nurse soul .Many things can affect knowledge a nurse soul both internally and externally.Strategy the implementation of the act of nursing is a in made as a guide by a nurse if when interacting with disorder patients hallucinations.The purpose of research to know relations factors internal a nurse with knowledge nurse in the application of the implementation of the strategy in patients with disorder hallucinations in inpatient Rooms Hospital Ernaldi Bahar The Province Of South Sumatera 2017 . The kind of research done is research quantitative by using the method survey analytic approach in cross sectional .Technique the sample collection that is using a technique the sample collection total of sampling , the number of the sample are always 33 people .To research this independent variable consists of education , length of employment and the days of while dependent variable is knowledge nurse about strategy the implementation of the hallucinations . the results of this research was obtained one variable are associated than 3 variable internal factors researched namely working time with the results of p-value 0,011. Researchers hope from the results of this research , nurses can identify any factor that could affect the knowledge nurses and also can be used to understand the science of psychiatric Keywords : Nurses Knowledge, Strategy Implementation Hallucinations


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