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JP Journal of Biostatistics最新文献

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CHARACTERIZATION OF DARK CHOCOLATE CONTAINING JUJUBE EXTRACT AND MICROCAPSULES 含红枣提取物和微胶囊的黑巧克力的表征
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2020-01-20 DOI: 10.17654/jb017010285
S. Shahbazi, Z. Didar, M. Vazifedoost, M. S. Noghabi, E. Jahed
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引用次数: 0
AN ALTERNATIVE METHOD OF EXTRACTING OF TRACE COBALT(II) IN WATER SAMPLES BY NANOGRAPHENE 一种利用纳米石墨烯提取水样中微量钴的替代方法
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2020-01-20 DOI: 10.17654/jb017010119
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引用次数: 0
HUMAN IMMUNODEFICIENCY VIRUS (HIV) CASES IN THE PHILIPPINES: ANALYSIS AND FORECASTING 菲律宾的人类免疫缺陷病毒(艾滋病毒)病例:分析和预测
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2019-11-10 DOI: 10.17654/bs016020067
Analaine May A. Tatoy, Roel F Ceballos
Reports from the Health Department in the Philippines show that cases of Human Immunodeficiency Virus (HIV) are increasing despite management and control efforts by the government. Worldwide, the Philippines has one of the fastest growing number of HIV cases. The aim of the study is to analyze HIV cases by determining the best model in forecasting its future number of cases. The data set was retrieved from National HIV/AIDS and STI Surveillance and Strategic Information Unit (NHSSS) of the Department of Health containing 132 observations. This data set was divided into two parts, one for model building and another for forecast evaluation. The original series has an increasing trend and is nonstationary with indication of non-constant variance. Box-Cox transformation and ordinary differencing were performed on the series. The differenced series is stationary and tentative models were identified through ACF and PACF plots. SARIMA has the smallest chosen AIC value. The chosen model undergoes the diagnostic checking. The residuals of the model behave like a white noise while the forecast errors behave like a Gaussian white noise. Considering all diagnostics, the model may be used for forecasting the monthly cases of HIV in the Philippines. Forecasted values show that HIV cases will maintain their current trend.
菲律宾卫生部的报告显示,尽管政府采取了管理和控制措施,但人类免疫缺陷病毒(HIV)的病例仍在增加。在世界范围内,菲律宾是艾滋病病例增长最快的国家之一。这项研究的目的是通过确定预测未来病例数的最佳模型来分析艾滋病毒病例。该数据集从卫生部国家艾滋病毒/艾滋病和性传播感染监测和战略信息处(NHSSS)检索,包含132项观察结果。该数据集分为两部分,一部分用于模型建立,另一部分用于预测评价。原始序列有增加的趋势,并且是非平稳的,有非恒定方差的指示。对序列进行Box-Cox变换和常微分。差分序列是平稳的,并通过ACF和PACF图确定了暂定模型。SARIMA的选择AIC值最小。选择的模型进行诊断检查。模型的残差表现为白噪声,而预测误差表现为高斯白噪声。考虑到所有的诊断,该模型可用于预测菲律宾每月的艾滋病毒病例。预测值表明,艾滋病毒病例将保持目前的趋势。
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引用次数: 3
A DECISION TREE ANALYSIS OF SEVEN YEARS PROFILE OF ORAL CANCER PATIENTS IN HOSPITAL UNIVERSITI SAINS MALAYSIA (USM) KELANTAN 马来西亚吉兰丹大学口腔癌患者7年资料的决策树分析
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2019-08-20 DOI: 10.17654/bs016020057
M. Nawi, Tang Liszen, W. M. A. W. Ahmad, Najwa Solehah Binti Shamsul Bahrin, N. Aleng, Zalila Ali
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引用次数: 0
ESTIMATION PARAMETERS OF KUMARASWAMY PRANAV DISTRIBUTION kumaraswamy pranav分布的估计参数
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2019-07-10 DOI: 10.17654/BS016020047
H. A. Reheem, M. N. A. Bary
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引用次数: 0
RELIABILITY AND VALIDITY OF ARABIC PARENTING STRESS INDEX-SHORT FORM (PSI-SF) IN PARENTS OF ADHD CHILDREN 阿拉伯语父母压力指数短表(PSI-SF)在ADHD儿童父母中的信度和有效性
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2019-07-10 DOI: 10.17654/BS016020031
Meshal K. Alaqeel
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引用次数: 0
ASSESSING LOGISTIC REGRESSION BY BOOTSTRAPPING AND MONTE CARLO SIMULATION: MODELING LOW BIRTH WEIGHT 通过自举和蒙特卡罗模拟评估逻辑回归:低出生体重模型
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2019-07-10 DOI: 10.17654/BS016020013
Yunfei Wang, D. Lai
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引用次数: 0
ESTIMATION OF DENTAL CARIES USING POISSON REGRESSION AND COMPARISON OF OUTCOMES WITH MULTIPLE LINEAR REGRESSION MODEL 用泊松回归估计龋齿,并与多元线性回归模型结果比较
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2019-07-01 DOI: 10.17654/BS016020001
Syed Adnan Ali, Nazeer Khan, Mudassir Uddin
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引用次数: 0
A COMPARISON OF JOINT FRAILTY MODEL FOR RECURRENT EVENTS AND DEATH USING CLASSICAL AND BAYESIAN APPROACHES: APPLICATION TO BREAST CANCER DATA 使用经典和贝叶斯方法比较复发事件和死亡的联合衰弱模型:在乳腺癌数据中的应用
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2019-05-05 DOI: 10.17654/BS016010071
E. Talebi-Ghane, A. Baghestani, F. Zayeri, V. Rondeau, A. Saeedi, A. Akhavan
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引用次数: 0
A NEW NONPARAMETRIC ESTIMATOR TO GET OVERALL UTILITY FOR LONGITUDINAL DATA 获得纵向数据总体效用的一种新的非参数估计
IF 0.1 Q4 STATISTICS & PROBABILITY Pub Date : 2019-05-05 DOI: 10.17654/BS016010057
Selcen Yuksel, A. Alkan, P. Demır
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引用次数: 0
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JP Journal of Biostatistics
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