Statistics and Probability Commons^™

A Semiparametric Estimation For The Nonlinear Vector Autoregressive Time Series Model, Rahman Farnoosh, Mahtab Hajebi, Seyed J. Mortazavi

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, the nonlinear vector autoregressive model is considered and a semiparametric method is proposed to estimate the nonlinear vector regression function. We use Taylor series expansion up to the second order which has a parametric framework as a representation of the nonlinear vector regression function. After the parameters are estimated through the least squares method, the obtained nonlinear vector regression function is adjusted by a nonparametric diagonal matrix, and the proposed diagonal matrix is also estimated through the nonparametric smooth-kernel approach. Estimating the parameters can yield the desired estimate of the vector regression function based on the data. …

Incorporating Place And Space: A Hierarchical Spatial Approach To Exploring Preventable Congestive Heart Failure Hospitalizations In New York City, Rachael Weiss Riley

Dissertations and Theses

Background: Faced with rising medical care costs, increasing prevalence, and widening health disparities, preventing congestive heart failure (CHF) hospitalizations is a central public health concern. Despite evidence of geographical clustering in preventable CHF admissions, there is a lack of research designed to examine spatial patterning of CHF and the local area neighborhood determinants that contribute to this variability. This study sought to assess and evaluate the importance of both space and place in analyzing preventable CHF hospitalizations and readmissions by applying appropriate statistical techniques, clarifying the assumption inherent in each method, and interpreting the findings within the context of existing …

A Direct D-Bar Method For Partial Boundary Data Electrical Impedance Tomography With A Priori Information, Melody Alsaker, Sarah J. Hamilton, Andreas Hauptmann

Mathematics, Statistics and Computer Science Faculty Research and Publications

Electrical Impedance Tomography (EIT) is a non-invasive imaging modality that uses surface electrical measurements to determine the internal conductivity of a body. The mathematical formulation of the EIT problem is a nonlinear and severely ill-posed inverse problem for which direct D-bar methods have proved useful in providing noise-robust conductivity reconstructions. Recent advances in D-bar methods allow for conductivity reconstructions using EIT measurement data from only part of the domain (e.g., a patient lying on their back could be imaged using only data gathered on the accessible part of the body). However, D-bar reconstructions suffer from a loss of sharp edges …

Symptom Levels In Care-Seeking Bangladeshi And Nepalese Adults With Advanced Cancer, Richard Love, Tahmina Ferdousy, Bishnu D. Paudel, Shamsun Nahar, Rumana Dowla, Mohammad Adibuzzaman, Golam Mushih Tanimul Ahsan, Miftah Uddin, Reza Selim, Sheikh Iqbal Ahamed

Mathematics, Statistics and Computer Science Faculty Research and Publications

Purpose

Three-fourths of patients with advanced cancer are reported to suffer from pain. A primary barrier to provision of adequate symptom treatment is failure to appreciate the intensity of the symptoms patients are experiencing. Because data on Bangladeshi and Nepalese patients’ perceptions of their symptomatic status are limited, we sought such information using a cell phone questionnaire.

Methods

At tertiary care centers in Dhaka and Kathmandu, we recruited 640 and 383 adult patients, respectively, with incurable malignancy presenting for outpatient visits and instructed them for that single visit on one-time completion of a cell phone platform 15-item survey of questions …

Risk Of Incident Clinical Diagnosis Of Alzheimer's Disease-Type Dementia Attributable To Pathology-Confirmed Vascular Disease, Hiroko H. Dodge, Jian Zhu, Randy Woltjer, Peter T. Nelson, David A. Bennett, Nigel J. Cairns, David W. Fardo, Jeffrey A. Kaye, Deniz-Erten Lyons, Nora Mattek, Julie A. Schneider, Lisa C. Silbert, Chengjie Xiong, Lei Yu, Frederick A. Schmitt, Richard J. Kryscio, Erin L. Abner, Smart Data Consortium

Sanders-Brown Center on Aging Faculty Publications

INTRODUCTION: The presence of cerebrovascular pathology may increase the risk of clinical diagnosis of Alzheimer's disease (AD).

METHODS: We examined excess risk of incident clinical diagnosis of AD (probable and possible AD) posed by the presence of lacunes and large infarcts beyond AD pathology using data from the Statistical Modeling of Aging and Risk of Transition study, a consortium of longitudinal cohort studies with more than 2000 autopsies. We created six mutually exclusive pathology patterns combining three levels of AD pathology (low, moderate, or high AD pathology) and two levels of vascular pathology (without lacunes and large infarcts or with …

Spatial Analysis Of Time Between Two Consecutive Dental And Two Consecutive Well-Child Visits For Foster Care Youth, Chenyang Shi

Dissertations

Foster care youth is a medically vulnerable population. Poor dental health and irregular well-child visits may cause serious health-related issues, such as mental disorder, nutrition imbalance, tooth damage, etc. Michigan requires all youth in foster care to receive annual dental and well-child visits. Usually, the study of foster care well-child and dental visits include two parts: time between two consecutive visits (gap time) and number of visits. For this study, a longitudinal-spatial model that has the flexibility to analyze the well-child/dental gap times and number of visits was developed. The longitudinal data (2009-2012) on Michigan foster care youth from 10 …

Development Of Traditional And Rank-Based Algorithms For Linear Models With Autoregressive Errors And Multivariate Logistic Regression With Spatial Random Effects, Shaofeng Zhang

Dissertations

Linear models are the most commonly used statistical methods in many disciplines. One of the model assumptions is that the error terms (residuals) are independent and identically distributed. This assumption is often violated and autoregressive error terms are often encountered by researchers. The most popular technique to deal with linear models with autoregressive errors is perhaps the autoregressive integrated moving average (ARIMA). Another common approach is generalized least squares, such as Cochrane-Orcutt estimation and Prais-Winsten estimation. However, these usually have poor behaviors when fitting small samples. To address this problem, a double bootstrap method was proposed by McKnight et al. …

Mechanistic Mathematical Models: An Underused Platform For Hpv Research, Marc Ryser, Patti Gravitt, Evan R. Myers

Global Health Faculty Publications

Health economic modeling has become an invaluable methodology for the design and evaluation of clinical and public health interventions against the human papillomavirus (HPV) and associated diseases. At the same time, relatively little attention has been paid to a different yet complementary class of models, namely that of mechanistic mathematical models. The primary focus of mechanistic mathematical models is to better understand the intricate biologic mechanisms and dynamics of disease. Inspired by a long and successful history of mechanistic modeling in other biomedical fields, we highlight several areas of HPV research where mechanistic models have the potential to advance the …

Comparing Grounded Theory And Topic Modeling: Extreme Divergence Or Unlikely Convergence?, Eric P.S. Baumer, David Mimno, Shion Guha, Emily Quan, Geri K. Gay

Mathematics, Statistics and Computer Science Faculty Research and Publications

Researchers in information science and related areas have developed various methods for analyzing textual data, such as survey responses. This article describes the application of analysis methods from two distinct fields, one method from interpretive social science and one method from statistical machine learning, to the same survey data. The results show that the two analyses produce some similar and some complementary insights about the phenomenon of interest, in this case, nonuse of social media. We compare both the processes of conducting these analyses and the results they produce to derive insights about each method's unique advantages and drawbacks, as …

Lisinopril Or Coreg Cr In Reducing Cardiotoxicity In Women With Breast Cancer Receiving Trastuzumab: A Rationale And Design Of A Randomized Clinical Trial, Maya Guglin, Pamela Munster, Angelina Fink, Jeffrey Krischer

Internal Medicine Faculty Publications

Background—Trastuzumab (TZB) is an established therapy for HER2 positive breast cancer. The use of TZB is commonly associated with cardiotoxicity manifesting as asymptomatic decrease in left ventricular ejection fraction (LVEF) or overt heart failure. Several studies demonstrated favorable effects of angiotensin converting enzyme (ACE) inhibitors and beta blockers (BB) in the prevention of chemotherapy-induced cardiotoxicity. We hypothesize that patients, randomized to receive an ACE inhibitor or a beta-blocker during trastuzumab therapy for breast cancer, will maintain a higher LVEF than patients randomized to placebo.

Methods and Results—We designed a prospective, multicenter, randomized, phase II placebo-controlled clinical trial to …

Estimated Probability Of Becoming A Case Of Drug Dependence In Relation To Duration Of Drug-Taking Experience: A Functional Analysis Approach, Olga A. Vsevolozhskaya, James C. Anthony

Biostatistics Faculty Publications

Measured as elapsed time from first use to dependence syndrome onset, the estimated "induction interval" for cocaine is thought to be short relative to the cannabis interval, but little is known about risk of becoming dependent during first months after onset of use. Virtually all published estimates for this facet of drug dependence epidemiology are from life histories elicited years after first use. To improve estimation, we turn to new month-wise data from nationally representative samples of newly incident drug users identified via probability sampling and confidential computer-assisted self-interviews for the United States National Surveys on Drug Use and Health, …

Exponential Chain Dual To Ratio Cum Dual To Product Estimator For Finite Population Mean In Double Sampling Scheme, Yater Tato, B. K. Singh

Applications and Applied Mathematics: An International Journal (AAM)

This paper considers an exponential chain dual to ratio cum dual to product estimator for estimating finite population mean using two auxiliary variables in double sampling scheme when the information on another additional auxiliary variable is available along with the main auxiliary variable. The expressions for bias and mean square error of the asymptotically optimum estimator are identified in two different cases. The optimum value of the first phase and second phase sample size has been obtained for the fixed cost of survey. To illustrate the results, theoretical and empirical studies have also been carried out to judge the merits …

Anchoring Biases In International Estimates Of The Value Of A Statistical Life, W. Kip Viscusi, Clayton J. Masterman

Vanderbilt Law School Faculty Publications

U.S. labor market estimates of the value of a statistical life (VSL) were the first revealed preference estimates of the VSL in the literature and continue to constitute the majority of such market estimates. The VSL estimates in U.S. studies consequently may have established a reference point for the estimates that researchers analyzing data from other countries are willing to report and that journals are willing to publish. This article presents the first comparison of the publication selection biases in U.S. and international estimates using a sample of 68 VSL studies with over 1000 VSL estimates throughout the world. Publication …

The Mosaic Package: Helping Students To 'Think With Data' Using R, Randall J. Pruim, Daniel T. Kaplan, Nicholas J. Horton

University Faculty Publications and Creative Works

The mosaic package provides a simplified and systematic introduction to the core functionality related to descriptive statistics, visualization, modeling, and simulation-based inference required in first and second courses in statistics. This introduction to the package describes some of the guiding principles behind the design of the package and provides illustrative examples of several of the most important functions it implements. These can be combined to help students "think with data" using R in their early course work, starting with simple, yet powerful, declarative commands.

The Use Of “Kakayu Dental Flipbook” In Oral Health Knowledge Improvement For Elementary School Students In Depok, Rikawarastuti Rikawarastuti, Eka Anggreni, Rahaju Budiarti, Nurlaila Ramadhan Suid

Kesmas

Perlu adanya edukasi untuk meningkatkan pengetahuan anak Indonesia tentang pentingnya memelihara kesehatan gigi dan mulut. Penelitian ini bertujuan untuk menjelaskan hubungan antara faktor siswa sekolah dasar seperti kelas, usia, jenis kelamin dengan jumlah anak dalam keluarga atau faktor ekonomi seorang ibu rumah tangga atau berpenghasilan tetap, yang dipengaruhi oleh peningkatan pengetahuan dari edukasi kesehatan gigi dan mulut. Disain penelitian quasi experiment pre-test dan post-test tanpa desain grup kontrol melibatkan 141 siswa yang dipilih melalui purposive sampling. Sampel tersebar pada siswa kelas IV, V, dan VI sekolah dasar swasta di Depok, Jawa Barat, Indonesia pada April-Oktober 2016. Data penelitian diperoleh dari …

Extrovert Personality Type And Prolonged Second Stage Of Labor, Yuni Kusmiyati, Chandra Tyas Nurfitria, Suherni Suherni, Heni Puji Wahyuningsih

Kesmas

Kepribadian dapat memengaruhi respons individu yang dapat berdampak pada proses persalinan lama. Penelitian sebelumnya menunjukkan adanya hubungan kepribadian dengan waktu persalinan. Tipe kepribadian ekstrover (tipe A) cenderung lebih rentan terhadap stres dibandingkan orang dengan tipe kepribadian introvert (tipe B). Penelitian ini bertujuan untuk mengetahui hubungan tipe kepribadian ekstrover dan variabel luar (pendidikan, ekonomi, usia ibu dan paritas) dengan persalinan kala II lama. Studi kasus kontrol dilakukan pada 156 ibu bersalin yang memenuhi kriteria inklusi pada tahun 2015 di Yogyakarta. Sampel kasus adalah 52 ibu dengan persalinan kala II lama dan kontrol adalah 104 ibu dengan persalinan kala II normal. Penelitian …

Effects Of Multilevel Intervention In Workplace Health Promotion On Workers’ Metabolic Syndrome Components, Zahtamal Zahtamal, Wasilah Rochmah, Yayi Suryo Prabandari

Kesmas

Sekitar 10-30% orang Asia dewasa mengalami sindrom metabolik. Penelitian ini bertujuan untuk mengungkap efek Promosi Kesehatan di Tempat Kerja PKDTK dengan intervensi multilevel pada komponen/penanda pekerja yang menderita sindrom metabolik. Penelitian ini dilakukan pada tahun 2014-2015 dengan menggunakan desain quasi experimental dengan intervensi subjek secara multilevel di Indonesia. Program PKDTK untuk kelompok intervensi multilevel berupa kombinasi latihan fisik, diet, pendidikan kesehatan, dukungan sosial, dan advokasi salama 12 minggu. Program PKDTK untuk kelompok kontrol hanya pendidikan kesehatan. Instrumen penelitian seperti IPAQ, table food recall 24 jam, alat pengukuran fisik, dan laboratorium klinis. Analisis data menggunakan Marginal Homogeneity, paired sample t, Mc …

Counterfeit Medicines In Socioeconomic Perspective, Desy Nuryunarsih Nuryunarsih

Kesmas

Obat-obatan palsu berpotensi mencapai 70% dari pasaran obat internasional dengan proporsi terbanyak ditemukan di negara berkembang. Meningkatkan kesadaran masyarakat akan adanya obat-obatan palsu akan secara langsung memengaruhi permintaan produk obat palsu yang akhirnya akan mengurangi kegiatan pemalsuan obat. Akan tetapi, meningkatkan pengetahuan masyarakat akan bahaya obat-obatan palsu tidaklah mudah sebab profesi kesehatan masyarakat harus juga mempertimbangkan keberagaman faktor-faktor sosial, ekonomi dan pendidikan. Laporan ini menelaah artikel jurnal yang ditelaah oleh kelompok seminat, laporan media, laporan resmi pemerintah dan non-pemerintah. Sebanyak 179 artikel (dari 1990 sampai 2014) ditelaah untuk mengetahui hubungan antara indeks pembangunan manusia (IPM) dari USA, Jepang, Brasil, Iran, …

Rebon Shrimp Powder Addition Influence To Nutritional Values, Organoleptic Properties And Acceptance Of Supplementary Food By Children Aged 4-5 Years Old, Priyo Sulistiyono, Dewi Marhaeni Diah Herawati, Insi Farisa Desy Arya

Kesmas

Prevalensi gizi kurang dan stunting pada anak bawah lima tahun (balita) di Kota Cirebon masih cukup tinggi yaitu mencapai 13,9% dan 15,7%. Udang rebon (Acetes erythraeus) memiliki kandungan protein dan kalsium yang tinggi. Pengaruh penambahan udang rebon dalam makanan tambahan (bubur lemu dan bolu kukus) terhadap kualitas gizi diteliti. Penelitian ini bertujuan untuk mengetahui pengaruh bubuk udang rebon terhadap nilai gizi, sifat organoleptik dan daya terima. Uji laboratorium dan perangkat lunak Nutriservey digunakan untuk analisis nilai gizi bubuk udang rebon dan gizi makanan tambahan. Uji organoleptik menggunakan rancangan acak lengkap dengan empat perlakuan (bubuk udang rebon 0%, 5%, 10%, 15%) …

Controlling Factors That Potentially Against Transmission Of Dengue Hemorrhagic Fever At State Elementary Schools In Yogyakarta, Tri Baskoro Tunggul Satoto, Nur Alvira, Tri Wibawa, Ajib Diptyanusa

Kesmas

Sekolah dasar merupakan tempat yang dapat mengakibatkan peningkatan penyakit dengue pada anak karena faktor lingkungan, adanya potensi penularan, belum adanya system manajemen lingkungan yang baik dan beberapa upaya pengendalian yang tidak lagi efektif. Penelitian ini bertujuan untuk mengetahui faktor yang berpotensi terhadap penularan demam berdarah dengue bagi anak, sehingga sistem kewaspadaan dini dapat ditegakkan. Jenis penelitian ini adalah analitik dengan rancangan potong lintang. Penelitian dilaksanakan pada 91 sekolah dasar negeri di Kota Yogyakarta. Variabel yang diobservasi adalah serotype virus DEN, resistensi insektisida, kepadatan vektor,dan kondisi fisik sekolah. Analisis data menggunakan analisis deskriptif dan korelasi-regresi (a = 0.05). Hasil menunjukkan bahwa …