scholarly journals Weight Change and Its Predictors among Newly Initiated ART Clients in Dessie City, Northeast Ethiopia, July 2020. Longitudinal Data Analysis

2020 ◽  
Author(s):  
Zinabu Fentaw ◽  
Reta Dewau ◽  
Muluken Chanie ◽  
Mequannent Melaku ◽  
Melaku Yalew ◽  
...  
Keyword(s):  
Antiretroviral Therapy ◽  
Opportunistic Infection ◽  
Weight Change ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Clinical Staging ◽  
P Value ◽  
Positive Weight ◽  
Therapy Clients

Abstract Background The weight of HIV/AIDS patients is one of the classifications WHO clinical staging of the diseases. A positive weight change in antiretroviral therapy patients is one of the expected clinical outcomes within a few months after the initiation of antiretroviral therapy in previously naïve patients. But the weight change varies across clients, and the reason for this variation and the effect of time-varying clinical profiles on the weight of the clients is not well investigated. Method: A retrospective cohort study was conducted in Dessie City Health Facility in July 2020. The data were collected using a simple random sampling method in adult antiretroviral therapy clients who were enrolled to care between January to June 2019. Totally, 58 charts were reviewed within three months interval for 6 consecutive observations per chart. The data were entered into Epi-data, and analyzed using Stata 14. The effect of Panel and random effect model was assessed using Breusch and Pagan and Hausman's test, respectively. Finally, the Random Effect Generalize Least Square model was fitted, and variables with a p-value less than 0.05 were considered as the predictors of weight change. Result A total of 58 clients chart with 322 observations were assessed and the mean age (standard deviation) of participants were 37 (10) and 30 (51.7%) of them were female clients. The absence of opportunistic infection (β:1.85; 95% CI:0.66–3.03) the interaction of opportunistic infection and months on Antiretroviral Therapy (β:0.09; 95% CI:0.05–0.13) and advanced WHO clinical stage (β: -3.52; 95% CI: -6.71-(-0.34)) were significantly associated with the weight of adult Antiretroviral Therapy user overtime. Conclusion There is a significant positive weight change after imitation of Antiretroviral Therapy. The absence of opportunistic infection and its interaction with time have a positive change on the weight of adult Antiretroviral Therapy clients whereas, experiencing advanced WHO stage disease over time has a negative effect on the weight change.

Pengaruh Pertumbuhan Ekonomi, Foreign Direct Investment dan Tax Rate Terhadap Penerimaan PPh Badan Negara ASEAN

2020 ◽  
Vol 5 (4) ◽  
pp. 325-342
Author(s):  
Merry Inriama ◽  
Milla Sepliana Setyowati
Keyword(s):  
Foreign Direct Investment ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Domestic Product ◽  
Tax Rate ◽  
Effect Model

Keterbukaan perekonomian menjadi penentu yang penting dalam pertumbuhan ekonomi. Kondisi perekonomian suatu negara dapat memberi dampak terhadap penerimaan sektor perpajakan. Hal ini dapat dilihat dari salah satu penerimaan pajak suatu negara yaitu melalui penerimaan PPh Badan. Tujuan dalam penelitian ini adalah untuk menganalisis pengaruh pertumbuhan ekonomi yang diukur dengan Gross Domestic Product (GDP), Foreign Direct Investment (FDI), dan Tax Rate terhadap besarnya penerimaan PPh Badan (CIT) dalam kasus lima negara ASEAN selama periode 1999-2018. Metode penelitian ini dilakukan dengan menggunakan regresi data panel dengan estimasi Random Effect Model atau Generalized Least Square (GLS) dengan program Eviews. Hasil penelitian ini secara simultan menunjukkan bahwa variabel independen yaitu GDP, FDI, dan tax rate memiliki pengaruh yang signifikan terhadap variabel dependen yaitu penerimaan PPh Badan (CIT). Secara parsial PDB dan tax rate memiliki pengaruh positif dan signifikan yang artinya kenaikan atau penurunan GDP dan tax rate akan mempengaruhi kenaikan atau penurunan penerimaan PPh Badan (CIT), sedangkan FDI tidak memiliki pengaruh terhadap penerimaan PPh Badan (CIT). Melalui penelitian ini diharapkan dapat mengukur variabel-variabel yang memiliki pengaruh terhadap penerimaan PPh Badan, sehingga penerimaan PPh Badan dapat ditingkatkan.

scholarly journals MCKAT, a multi-dimensional copy number variant kernel association test

2021 ◽  
Author(s):  
Nastaran Maus Esfahani ◽  
Daniel Catchpoole ◽  
Javed Khan ◽  
Paul J. Kennedy
Keyword(s):  
Copy Number ◽  
Kernel Method ◽  
Random Effect ◽  
Random Effect Model ◽  
Score Test ◽  
Copy Number Variant ◽  
Association Test ◽  
P Value ◽  
Single Pair ◽  
Related Trait

AbstractBackgroundCopy number variants (CNVs) are the gain or loss of DNA segments in the genome. Studies have shown that CNVs are linked to various disorders, including autism, intellectual disability, and schizophrenia.Consequently, the interest in studying a possible association of CNVs to specific disease traits is growing. However, due to the specific multi-dimensional characteristics of the CNVs, methods for testing the association between CNVs and the disease-related traits are still underdeveloped. We propose a novel multi-dimensional CNV kernel association test (MCKAT) in this paper. We aim to find significant associations between CNVs and disease-related traits using kernel-based methods.ResultsWe address the multi-dimensionality in CNV characteristics. We first design a single pair CNV kernel, which contains three sub-kernels to summarize the similarity between two CNVs considering all CNV characteristics. Then, aggregate single pair CNV kernel to the whole chromosome CNV kernel, which summarizes the similarity between CNVs in two or more chromosomes. Finally, the association between the CNVs and disease-related traits is evaluated by comparing the similarity in the trait with kernel-based similarity using a score test in a random effect model. We apply MCKAT on genome-wide CNV datasets to examine the association between CNVs and disease-related traits, which demonstrates the potential usefulness the proposed method has for the CNV association tests. We compare the performance of MCKAT with CKAT, a uni-dimensional kernel method. Based on the results, MCKAT indicates stronger evidence, smaller p-value, in detecting significant associations between CNVs and disease-related traits in both rare and common CNV datasets.ConclusionA multi-dimensional copy number variant kernel association test can detect significantly associated CNVs with any disease-related trait. MCKAT can help biologists detect significantly associated CNVs with any disease-related trait across a patient group instead of examining the CNVs case by case in each subject.

scholarly journals Comparative efficacy between ketamine, memantine, riluzole and d-cycloserine in patients diagnosed with drug resistant depression: a meta-analysis

2019 ◽  
Vol 8 (6) ◽  
pp. 1132
Author(s):  
Nishita H. Darji ◽  
Devang A. Rana ◽  
Supriya D. Malhotra
Keyword(s):  
Rating Scale ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect ◽  
P Value ◽  
Drug Resistant ◽  
Effect Model ◽  
Resistant Depression ◽  
Glutamate Modulators

Background: Glutamate modulators are having immense potential and are newer entities for treating drug resistant depression. The objectives were to generate statistical evidence on basis of existing data of ketamine, memantine, riluzole and d-cycloserine in resistant depression.Methods: A total of 14 RCTs following PRISMA guidelines and matching inclusion and exclusion criteria were collected of ketamine (5), memantine (3), riluzole (2) and d-cycloserine (4) vs placebo in drug resistant depression. Only RCTs with primary diagnosis of drug resistant depression (Previously on two standard antidepressant therapy) were included. Studies with treatment response rate, 50% reduction in total score of the depression rating scale-Montgomery-Åsberg Depression Rating Scale or the Hamilton Depression Rating Scale or Beck Depression Inventory was chosen as clinical outcome measure. RevMan 5.3 software was used for the analysis.Results: In ketamine group using random effect model SMD was 2.122 (95% CI 0.659-3.584). P-value was statistically significant (random effect p <0.005 and in fixed effect <0.001). In memantine group, using random effect model -0.963 was SMD and (95% CI -1.958-0.0324). P-value was <0.001, significant in fixed effect. In riluzole group, SMD was -0.564 with (95% CI -3.927-2.799) in random effect. P-value was 0.741. In d-cycloserine group SMD was 0.316 with (95% CI -1.252-1.885) in random effect. P-value was 0.690.Conclusions: Ketamine showed best efficacy followed by memantine. Riluzole and DCS as such have no efficacy although its acts by same glutamate pathway. More molecular based research is required in use of glutamate modulators in resistant depression.

scholarly journals PENGARUH VARIABEL MAKROEKONOMI TERHADAP DANA PIHAK KETIGA BANK UMUM SYARIAH DI INDONESIA

2020 ◽  
Vol 4 (1) ◽  
pp. 164
Author(s):  
Muhammad Dzulfaqori Jatnika
Keyword(s):  
Interest Rates ◽  
Commercial Banks ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Third Party ◽  
Ordinary Least Square ◽  
Effect Model ◽  
Per Capita ◽  
The Right

Tujuan penelitian ini  adalah menganalisis pengaruh faktor makroekonomi yaitu nilai tukar, inflasi, suku bunga, dan GDP per kapita terhadap dana pihak ketiga di bank umum Syariah. Penelitian ini merupakan penelitian kuantitatif dengan data sekunder yang berupa data panel. Teknik analisis yang digunakan adalah metode analisis linier berganda Ordinary Least Square (OLS). Hasil uji Hausman menunjukan model yang tepat dalam penelitian ini adalah random effect model. Semua variabel signifikan, variabel inflasi dan nilai tukar memiliki pengaruh positif sedangkan variabel suku bunga dan GDP per kapita memiliki pengaruh yang negatif terhadap dana pihak ketiga di bank umum Syariah. Hasil penelitian ini memiliki implikasi bagi para pelaku usaha perbankan untuk menentukan waktu yang tepat dalam menarik dan menyalurkan dana pihak ketiga dari masyarakat. Dan dapat menjadi acuan untuk mengeluarkan kebijakan terkait bisnisnya. Dan bagi peneliti selanjutnya dapat menjadi acuan untuk mengembangkan kembali penelitian berikutnya. Pada penelitian selanjutnya diharapkan dapat menambah variabel-variabel terkait lainnya selain variabel yang telah diteliti dalam penelitian ini. Kebaruan dalam penelitian ini adalah tambahan variabel yang mempengaruhi dana pihak ketiga dan juga tambahan sampel bank umum Syariah sehingga diharapkan penelitian ini lebih mendalam daripada penelitian sebelumnya.  The purpose of this study is to analyze the influence of macroeconomic factors, namely the exchange rate, inflation, interest rates, and GDP per capita on third party funds in Islamic commercial banks. This research is a quantitative study with secondary data in the form of panel data. The analysis technique used is the Ordinary Least Square (OLS) multiple linear analysis method. The Hausman test results showed the right model in this study was the random effect model. All variables are significant, inflation and exchange rates have a positive effect while interest rates and GDP per capita have a negative effect on third-party funds in Islamic commercial banks. The results of this study have implications for banking businesses to determine the right time in attracting and channelling third party funds from the public. And can be a reference for issuing policies related to business. And for further researchers can be a reference to develop further research. In the next research, it is expected to be able to add other related variables besides the variables that have been examined in this study. The novelty in this study is the addition of variables that affect third party funds and also additional samples of Islamic commercial banks so that this research is expected to be more in-depth than previous research.

Analysis of Board Size and Firm Performance: Evidence from NSE Companies Using Panel Data Approach

2016 ◽  
Vol 9 (2) ◽  
pp. 148-172 ◽  
Author(s):  
Anjala Kalsie ◽  
Shikha Mittal Shrivastav
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Least Square ◽  
Empirical Literature ◽  
Board Size ◽  
Effect Model

This article seeks to examine the relationship between the board size and firm performance. Existing literature on board size is based on different theories of corporate governance. While agency theory and resource dependency theory suggest that the board size positively affects performance, stewardship theory favours smaller board size and argues that larger board size negatively impacts the firm performance. The present article adds to the empirical literature by employing panel data analysis of 145 non-financial companies listed in the NSE CNX 200 Index of India corresponding to 16 industries. The study is carried out for a period of five years from 2008 to 2012. The firm performance has been measured using Tobin’s Q and the market-to-book value ratio (MBVR) as market-based measures and return on assets (ROA) and return on capital employed (ROCE) as accounting-based measures. The fixed effect model, random effect model and feasible generalised least square (FGLS) regression models are applied to achieve the above-mentioned objectives. The results conclude that the board size has a positive and significant impact on the firm performance.

scholarly journals Analisis 19 Mitra Dagang Perdagangan Manufaktur di Indonesia: Aplikasi Model Gravitasi

2018 ◽  
Vol 1 (1) ◽  
pp. 1-11
Author(s):  
Ragil Khoiru Rizal
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Effect Model

Fokus dari penelitian ini adalah melakukan pengujian teoti Linder pada perdagangan manufaktur dan menganalisis adanya pengaruh secara parsial maupun simultan pada variabel-variabel bebas terhadap eksor dan impor manufaktur di Indonesia dengan menggunakan 19 mitra dagang pada periode 2008-2016 dengan menggunakan model gravitasi. Tulisan ini menggunakan data panel dengan menggunakan teknik estimasi Pooled Least Square (PLS) untuk mendapatkan persamaan model ekspor dan Random Effect Model (REM) untuk persamaan impor. Hasil dari makalah ini bahwa ekspor Indonesia tidak terbukti danya efek Linder, hal ini membuktkan bahwa ekspor Indonesia tidak disebabkan adanya kesamaan selera melainan faktor harga. Sedangkan untuk impor terbukti adanya efek Linder, hal ini berarti permintaan barang Impor Indoesia berasal dari negara0negara yang memilkiki kesamaan selera dengan Indonesia. Pada variabel-variabel bebas dalam model persamaan ekspor danimpor memiliki pengaruh signifikan terhadap ekpor maupun impor Indonesia kecuali variabel nilai tukar riil pada persamaan impor.

Effect of Ownership Structure on Firm Performance Evidence From Non-Financial Listed Firms

2021 ◽  
pp. 143-170
Author(s):  
Muhammad Arslan
Keyword(s):  
Firm Performance ◽  
Ownership Structure ◽  
Causal Effect ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Ownership Concentration ◽  
Variable Model ◽  
Listed Firms ◽  
Dummy Variable

In modern organizations, there is a separation between ownership and control of the firm. On the lenses of agency theory, this study statistically examines the relationship between ownership structure (i.e., ownership concentration and owner identity) and firm performance of non-financial listed firms of Pakistan by taking firm-level control variables of size, age, liquidity, financial leverage, and growth of the firm. Secondary data is collected from annual reports of 65 non-financial listed firms for the year 2008 to 2012. The least-square dummy variable model followed by the random effect model has been employed to statistically determining the impact of ownership structure on firm performance. The results of the least square dummy variable model reveal that the ownership concentration has a significant positive impact on firm performance. The owner identity (such as dispersed, family, institutional, and government ownership) has a significant causal effect on firm performance as indicated from t and p values.

Opportunistic infection at the start of antiretroviral therapy and baseline CD4+ count less than 50 cells/mm3 are associated with poor immunological recovery

2019 ◽  
Vol 30 (2) ◽  
pp. 163-171
Author(s):  
Amod Tilak ◽  
Smita Shenoy ◽  
Muralidhar Varma ◽  
Asha Kamath ◽  
Amruta Tripathy ◽  
...  
Keyword(s):  
Antiretroviral Therapy ◽  
Opportunistic Infection ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Hiv Positive ◽  
P Value ◽  
Care Hospital ◽  
Long Term Treatment ◽  
Immunological Recovery

AbstractIntroductionThere is a dearth of studies assessing the efficacy and immunological improvement in patients started on antiretroviral therapy (ART) in India. This study was undertaken to assess the 2-year treatment outcomes in HIV-positive patients initiated on ART in a tertiary-care hospital.MethodsAfter approval from the Institutional Ethics Committee, adult HIV-positive patients from a tertiary-care hospital, initiated on ART between January 2013 and February 2015, were included in the study. Data on clinical and immunological parameters were obtained from medical case records over a period of 2 years after initiation of therapy. Intention-to-treat analysis was done using a descriptive approach, using SPSS version 15 (SPSS Inc. Released 2006. SPSS for Windows, Version 15.0. Chicago, SPSS Inc.). A logistic regression analysis was done to assess the predictors for poor outcomes. A p-value <0.05 was considered statistically significant.ResultsART was initiated in 299 adult patients. At 1 and 2 years, the median (interquartile range) change in CD4+cell count was 65 (39, 98) cells/mm3and 160 (95, 245) cells/mm3. The change observed after 2 years of treatment initiation was statistically significant compared with that after 1 year. Three deaths occurred during the study period and 28 were lost to follow-up. Male sex, presence of at least one opportunistic infection at the start of therapy, and baseline CD4+count <50 cells/mm3were associated with poor immunological recovery.ConclusionsWith long-term treatment and regular follow-up, sustained clinical and immunological outcomes can be obtained in resource-limited settings.

Clinical outcome for continuous versus intermittent chemotherapy for unresectable metastatic colorectal cancer: Comparative analysis after first-line therapy.

2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 825-825
Author(s):  
Nadine Abdallah ◽  
AMR Mohamed ◽  
Hibah Ismail ◽  
Wei Chen ◽  
Alaa Akhras ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Statistical Tests ◽  
Random Effect ◽  
Random Effect Model ◽  
Primary Objective ◽  
Induction Treatment ◽  
P Value ◽  
First Line ◽  
Free Interval ◽  
Significant Difference

825 Background: Colorectal cancer (CRC) is the third most common and second most lethal cancer in the U.S, with almost 50% of patients developing metastatic disease. Although survival of metastatic CRC (mCRC) has improved significantly, current treatment strategies are associated with many adverse effects. With no prospect of cure, goals of treatment should consider both quantity and quality of life. Interruption of chemotherapy after induction can represent a means to achieve this balance. Methods: The primary objective of this meta-analysis is to assess the effect of continuation vs interruption of systemic therapy in terms of survival in patients with unresectable mCRC after first line treatment. Among 15 prospective studies published from 2009-2017, 9 qualified for inclusion. Random-effect model was used for pooled effects within two main categories: continuous chemotherapy vs chemotherapy-free interval after first line induction. Studies with maintenance fluoropyrimidine and/or bevacizumab were excluded. Primary endpoint was median progression free survival (PFS) and secondary endpoint was median overall survival (OS). z statistics were used for comparing subgroups. All statistical tests were two-sided. P values < 0.05 were considered significant. Results: 1366 patients (55% males) were included in the final analysis. Induction treatment was 5-FU or capecitabine-based chemotherapy with either oxaliplatin or irinotecan with or without bevacizumab. After stratifying for induction status, there was no statistically significant difference in median PFS between continuous vs chemotherapy free interval [Median PFS 4.74-month (95% CI 3.87-5.61) vs 3.52 month (95% CI 2.97-4.07), z-test adjusted p value 0.1383]. No significant difference in median OS between both groups [Median OS 16.95-month (95% CI 15.40-18.50) vs 18.35 month (95% CI 15.17-21.54)]. Conclusions: In mCRC patients, the superiority of continuous chemotherapy was not demonstrated. Further studies should shed light on patient and tumor characteristics most likely to benefit from continuous chemotherapy to limit delivery of cytotoxic therapy to this subset of patients.

scholarly journals DYNAMICS OF EXPORTS, INFRASTRUCTURE, AND GROWTH IN GCC: VARS AND CAUSALITY TESTING

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Sufian Eltayeb Mohamed
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Financial Institution ◽  
Random Effect ◽  
Random Effect Model ◽  
Panel Cointegration ◽  
Least Square ◽  
Public Expenditures ◽  
Long Run ◽  
Cointegration Tests

The paper is concerned with analyzing the dynamic effects of exports and infrastructure on GCC economic growth. Panel cointegration methodology is used to test for the existence of a long relationship between the variable. Two tests, Kao (1999) and Johansen cointegration tests are applied to check for cointegration. The results of the two tests reveal that there exists a long run co-integrating relationship between export and infrastructure proxies and economic growth in GCC countries. Additionally, fully modified least square (FMOLS) and dynamic ordinary least square (DOLS) were used to test the magnitude of the long relationship among variables. The results show that export and infrastructure variables are positive and have significant impact on the long run growth of the GCC economy. Further, fixed –effects method is selected as random effect model is rejected based on Hausman test result. The results of fixed effect show that export and infrastructure variables ate positive and statistically significant. With regard to policy, variable mixed results were obtained. As a policy recommendation the study, suggest that proper absorptive capacity such as deep financial institution, good infrastructure quality and supplementing public expenditures should be met in order to maximize the benefits of exports. JEL: C33; O11; F10; O19; O47 <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0875/a.php" alt="Hit counter" /></p>

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