Statistics and Probability Commons^™

Heterogeneity Aware Random Forest For Drug Sensitivity Prediction, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal

Department of Statistics: Faculty Publications

Samples collected in pharmacogenomics databases typically belong to various cancer types. For designing a drug sensitivity predictive model from such a database, a natural question arises whether a model trained on diverse inter-tumor heterogeneous samples will perform similar to a predictive model that takes into consideration the heterogeneity of the samples in model training and prediction. We explore this hypothesis and observe that ensemble model predictions obtained when cancer type is known out-perform predictions when that information is withheld even when the samples sizes for the former is considerably lower than the combined sample size. To incorporate the heterogeneity idea …

Prevalence And Trends In Transmitted And Acquired Antiretroviral Drug Resistance, Washington, Dc, 1999-2014., Annette M Aldous, Amanda D Castel, David M Parenti

Epidemiology Faculty Publications

Background

Drug resistance limits options for antiretroviral therapy (ART) and results in poorer health outcomes among HIV-infected persons. We sought to characterize resistance patterns and to identify predictors of resistance in Washington, DC.

Methods

We analyzed resistance in the DC Cohort, a longitudinal study of HIV-infected persons in care in Washington, DC. We measured cumulative drug resistance (CDR) among participants with any genotype between 1999 and 2014 (n = 3411), transmitted drug resistance (TDR) in ART-naïve persons (n = 1503), and acquired drug resistance (ADR) in persons with genotypes before and after ART initiation (n = 309). Using logistic regression, …

How Singapore Investors Can Profit From Unstructured Data, Clarence Goh

Research Collection School Of Accountancy

Data that is collected in the business environment can be structured or unstructured. In general, structured data refers to information which is highly organised and which can easily be stored in rows and columns within database systems. On the other hand, unstructured data does not have a strict data structure, and is also not organised in a pre-defined manner.

A Geometric Derivation Of The Irwin-Hall Distribution, James E. Marengo, Lucas Stefanic, David L. Farnsworth

Articles

The Irwin-Hall distribution is the distribution of the sum of a finite number of independent identically distributed uniform random variables on the unit interval. Many applications arise since round-off errors have a transformed Irwin-Hall distribution and the distribution supplies spline approximations to normal distributions. We review some of the distribution’s history. The present derivation is very transparent, since it is geometric and explicitly uses the inclusion-exclusion principle. In certain special cases, the derivation can be extended to linear combinations of independent uniform random variables on other intervals of finite length.The derivation adds to the literature about methodologies for finding distributions …

Influence Of Scaling Up Nutrition Education Towards Knowledge And Attitude Of Students At Santa Elisabeth Medan School Of Health Sciences, Rani Gartika Holivia Silalahi, Yesschi Anggraeni Tambunan

Kesmas

Tingginya angka pernikahan pada usia remaja yang disertai dengan rendahnya pengetahuan tentang pola asuh merupakan salah satu pemicu terjadinya masalah gizi. Remaja merupakan orang tua masa depan. Tujuan penelitian ini untuk mengetahui pengaruh pendidikan 1.000 hari pertama kehidupan terhadap pengetahuan dan sikap mahasiswi Sekolah Tinggi Ilmu Kesehatan Santa Elisabeth Medan tahun 2016. Penelitian ini menggunakan kuasi eksperimental dengan desain one group pre- dan post test. Metode pengambilan sampel dengan metode purposive sampling sebanyak 115 mahasiswi tingkat III program studi Diploma III Kebidanan. Pendidikan dilakukan di kelas sebanyak 4 kali dalam 2 minggu dengan menggunakan metode mengajar dan diskusi. Penelitian ini …

The Profile And Determinant Factors Of Quality Of Life In Patients With Diabetic Neuropathy, Rizaldy Taslim Pinzon, Kadek Sinthia Grahita Adnyana, Marta Lisnawati Zalukhu

Kesmas

Neuropati merupakan salah satu komplikasi tersering pada diabetes melitus (DM). Neuropati dapat memengaruhi kualitas hidup, derajat kesehatan, maupun tingkat ekonomi. Oleh karena itu, penting untuk mengetahui kualitas hidup pasien DM dengan neuropati beserta dampak yang ditimbulkannya terlebih dahulu agar mendapatkan penanganan yang tepat demi meningkatkan kualitas hidup pasien. Penelitian ini bertujuan untuk mengetahui profil kualitas hidup pasien DM dengan neuropati. Penelitian ini merupakan studi observasional menggunakan Short Form 8 (SF-8) Health Survey Standard Indonesia terhadap pasien diabetes melitus dengan neuropati yang diambil secara konsekutif pada bulan Maret hingga Agustus 2016 di Poli Saraf Rumah Sakit Bethesda, Yogyakarta. Terdapat 57 subjek …

Level Of Exposure Of Childhood Tuberculosis With Adult Pulmonary Tuberculosis Household Contacts, Al Asyary, Tris Eryando, Purwantyastuti Purwantyastuti, Purnawan Junadi, Carol Clark, Edwin Van Teijlingen

Kesmas

Tuberkulosis paru (TB) pada anak kian menjadi masalah kesehatan global yang masih terlupakan seiring dengan peningkatan proporsi TB di Indonesia. Penularan penyakit ini di populasi umum seringkali berdampak pada anak, terlebih ketika kontak TB terjadi di rumah tangga. Penelitian ini bertujuan untuk memperoleh faktor protektif sehingga anak tetap sehat meskipun memiliki kontak dengan penderita TB dewasa serumah. Penelitian ini dilakukan dengan pendekatan kasus kontrol pada 132 responden anak yang berasal dari delapan rumah sakit rujukan dan beberapa puskesmas di Provinsi Daerah Istimewa Yogyakarta. Penelitian dilakukan dalam periode Januari hingga Desember 2014 yang hasilnya dianalisis dengan uji bivariat (kai kuadrat) dan …

Influence Of Quality Of Work Life Towards Psychological Well-Being And Turnover Intention Of Nurses And Midwives In Hospital, Indra Wahju Hardjanti, Aryo Dewanto, Noermijati Noermijati

Kesmas

Selama ini perawat telah dilatih untuk memberikan perawatan pasien dan meningkatkan kualitas hidup pasien, namun kualitas kehidupan kerja dan psychological well-being mereka sendiri terabaikan. Rendahnya kualitas kehidupan kerja perawat di rumah sakit menyebabkan tingginya keinginan pindah kerja perawat. Tingginya angka keinginan pindah kerja perawat dan bidan di Rumah Sakit X Malang merupakan masalah yang memerlukan perhatian dari manajemen rumah sakit agar tidak menjadi menyebabkan rendahnya mutu pelayanan kesehatan di rumah sakit. Penelitian ini bertujuan untuk mengetahui hubungan antara kualitas kehidupan kerja, psychological well-being, dan keinginan pindah kerja perawat dan bidan di rumah sakit. Penelitian ini menggunakan desain penelitian kuantitatif korelasional …

Risk Differences Between Elderly Men And Women Toward Doctor-Diagnosed Diabetes Mellitus In Urban Areas In Indonesia: 2013 National Basic Health Research Data, Meiwita Budiharsana

Kesmas

Diabetes melitus (DM) adalah salah satu penyakit tidak menular yang paling umum di Indonesia. DM disebabkan berbagai faktor risiko. Peningkatan prevalensi DM salah satunya disebabkan oleh perubahan gaya hidup di perkotaan. Penelitian ini bertujuan untuk menguji perbedaan prevalensi DM yang didiagnosis dokter pada laki-laki dan perempuan usia 15 tahun keatas yang tinggal di daerah perkotaan di Indonesia. Analisis menggunakan data sekunder Riset Kesehatan Dasar (Riskesdas) 2013 dengan desain studi potong lintang. Total sampel sebanyak 333.731 responden. Metode analisis menggunakan regresi logistik ganda. Hasil menunjukkan bahwa DM yang didiagnosis dokter pada laki-laki dan perempuan usia 15-39 tahun di perkotaan tidak berbeda. …

Bancroftian Filariasis Transmission Parameters After The Fifth Year Of Filiariasis Mass Drug Administration In Pekalongan City, Tutik Ida Rosanti, Sugeng Juwono Mardihusodo, Wayan Artama

Kesmas

Penelitian ini bertujuan untuk mengukur parameter parasitologi (microfilaria rate, kepadatan mikrofilaria), parameter imunologi (antigen prevalence) dan parameter entomologi (infection rate dan infective rate) pada tahun kelima pelaksanaan mass drug administration di Kelurahan Pabean Kota Pekalongan. Penelitian ini merupakan penelitian observasional dengan pendekatan potong lintang yang dilaksanakan pada bulan Juli sampai dengan Agustus 2015 di Kelurahan Pabean Kota Pekalongan. Microfilaria rate dan kepadatan mikrofilaria ditentukan dengan pemeriksaan darah jari pada 313 responden. Antigen prevalence ditentukan dengan mengukur antigen beredar menggunakan metode immunochromatographic test (ICT) Wuchereria bancrofti. Incective rate dan infection rate diukur dengan cara menemukan larva cacing filaria pada nyamuk hasil …

Provision Of Informed Consent Towards The Level Of Anxiety In Pre-Operative Patients At Mamuju District Public Hospital, Imelda Appulembang

Kesmas

Tindakan pembedahan merupakan salah satu tindakan medis yang dapat mendatangkan stressor sehingga menimbulkan kecemasan pada pasien. Penelitian ini bertujuan untuk mengetahui pengaruh pemberian informed consent terhadap tingkat kecemasan pada pasien pra-operasi di Rumah Sakit Umum Daerah (RSUD) Mamuju. Populasi pada penelitian ini adalah pasien pra-operasi. Sampel ditentukan dengan menggunakan pendekatan accidental sampling sehingga diperoleh sampel sebanyak 32 orang. Jenis penelitian ini adalah penelitian kuantitatif dengan menggunakan metode quasi experimental design melalui pendekatan non-equivalent time sample design yang dianalisis dengan menggunakan uji statistik Wilcoxon. Hasil penelitian menunjukkan bahwa terdapat pengaruh pemberian informed consent terhadap tingkat kecemasan pasien. Dapat disimpulkan pemberian informed …

Effects Of Contraceptive Use On Productivity Of Women Labor At Pt. Bomar Makassar Industrial Area, Masni Mappajanci, Andi Misnawati, Darmawansyah Darmawansyah

Kesmas

Produktivitas kerja potensial pada kelangsungan hidup perusahaan. Penggunaan kontrasepsi dapat memengaruhi fisiologi setiap perempuan, sehingga dapat memengaruhi aktivitas sehari-hari dan akan berdampak terhadap produktivitas tenaga kerja. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan alat kontrasepsi terhadap produktivitas tenaga kerja perempuan dengan mengontrol usia, pendidikan dan motivasi kerja. Penelitian dengan rancangan potong lintang melibatkan 71 pekerja perempuan PT Bomar Makassar yang telah menikah. Pengumpulan data dilakukan dengan wawancara menggunakan kuesioner pada bulan Mei sampai Juni 2015, kemudian dianalisis secara univariat, bivariat, dan multivariat. Hasil penelitian menunjukkan bahwa terdapat pengaruh penggunaan alat kontrasepsi terhadap produktivitas kerja setelah dikontrol dengan variabel usia (nilai …

Economic Burden, Mortality, And Institutionalization In Patients Newly Diagnosed With Alzheimer’S Disease, Christopher M. Black, Howard Fillit, Lin Xie, Xiaohan Hu, M. Furaha Kariburyo, Baishali M. Ambegaonkar, Onur Baser, Huseyin Yuce, Rezaul K. Khandker

Publications and Research

Background: Current information is scarce regarding comorbid conditions, treatment, survival, institutionalization, and health care utilization for Alzheimer’s disease (AD) patients.

Objectives: Compare all-cause mortality, rate of institutionalization, and economic burden between treated and untreated newly-diagnosed AD patients.

Methods: Patients aged 65–100 years with ≥1 primary or ≥2 secondary AD diagnoses (ICD-9-CM:331.0] with continuous medical and pharmacy benefits for ≥12 months pre-index and ≥6 months post-index date (first AD diagnosis date) were identified from Medicare fee-for-service claims 01JAN2011–30JUN2014. Patients with AD treatment claims or AD/ADrelated dementia diagnosis during the pre-index period were excluded. Patients were assigned to treated and untreated cohorts …

Nonparametric Variable Importance Assessment Using Machine Learning Techniques, Brian D. Williamson, Peter B. Gilbert, Noah Simon, Marco Carone

UW Biostatistics Working Paper Series

In a regression setting, it is often of interest to quantify the importance of various features in predicting the response. Commonly, the variable importance measure used is determined by the regression technique employed. For this reason, practitioners often only resort to one of a few regression techniques for which a variable importance measure is naturally defined. Unfortunately, these regression techniques are often sub-optimal for predicting response. Additionally, because the variable importance measures native to different regression techniques generally have a different interpretation, comparisons across techniques can be difficult. In this work, we study a novel variable importance measure that can …

Models And Policies Of Port Carbon Emission Reduction : A Case Study Of The Port Of Dalian, Jiaqiong Zhao

World Maritime University Dissertations

No abstract provided.

Estimation Of Exposure Distribution Adjusting For Association Between Exposure Level And Detection Limit, Yuchen Yang, Brent J. Shelton, Thomas Tucker, Li Li, Richard Kryscio, Li Chen

Statistics Faculty Publications

In environmental exposure studies, it is common to observe a portion of exposure measurements to fall below experimentally determined detection limits (DLs). The reverse Kaplan–Meier estimator, which mimics the well‐known Kaplan–Meier estimator for right‐censored survival data with the scale reversed, has been recommended for estimating the exposure distribution for the data subject to DLs because it does not require any distributional assumption. However, the reverse Kaplan–Meier estimator requires the independence assumption between the exposure level and DL and can lead to biased results when this assumption is violated. We propose a kernel‐smoothed nonparametric estimator for the exposure distribution without imposing …

Examination And Comparison Of The Performance Of Common Non-Parametric And Robust Regression Models, Gregory F. Malek

Electronic Theses and Dissertations

ABSTRACT

Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models

By

Gregory Frank Malek

Stephen F. Austin State University, Masters in Statistics Program,

Nacogdoches, Texas, U.S.A.

[email protected]

This work investigated common alternatives to the least-squares regression method in the presence of non-normally distributed errors. An initial literature review identified a variety of alternative methods, including Theil Regression, Wilcoxon Regression, Iteratively Re-Weighted Least Squares, Bounded-Influence Regression, and Bootstrapping methods. These methods were evaluated using a simple simulated example data set, as well as various real data sets, including math proficiency data, Belgian telephone call data, and faculty …

Camel And Adcirc Storm Surge Models—A Comparative Study, Muhammad K. Akbar, Richard A. Luettich, Jason G. Fleming, Shahrouz K. Aliabadi

Mechanical and Manufacturing Engineering Faculty Research

The Computation and Modeling Engineering Laboratory (CaMEL), an implicit solver-based storm surge model, has been extended for use on high performance computing platforms. An MPI (Message Passing Interface) based parallel version of CaMEL has been developed from the previously existing serial version. CaMEL uses hybrid finite element and finite volume techniques to solve shallow water conservation equations in either a Cartesian or a spherical coordinate system and includes hurricane-induced wind stress and pressure, bottom friction, the Coriolis effect, and tidal forcing. Both semi-implicit and fully-implicit time stepping formulations are available. Once the parallel implementation is properly validated, CaMEL is evaluated …

Anomalydetection: Implementation Of Augmented Network Log Anomaly Detection Procedures, Robert J. Gutierrez, Bradley C. Boehmke, Kenneth W. Bauer, Cade M. Saie, Trevor J. Bihl

Faculty Publications

As the number of cyber-attacks continues to grow on a daily basis, so does the delay in threat detection. For instance, in 2015, the Office of Personnel Management discovered that approximately 21.5 million individual records of Federal employees and contractors had been stolen. On average, the time between an attack and its discovery is more than 200 days. In the case of the OPM breach, the attack had been going on for almost a year. Currently, cyber analysts inspect numerous potential incidents on a daily basis, but have neither the time nor the resources available to perform such a task. …

The Relationship Of Plasma Trans Fatty Acids With Dietary Inflammatory Index Among Us Adults, Mohsen Mazidi, Hong-Kai Gao, Nitin Shivappa, Michael David Wirth, James R. Hébert, Andre Pascal Kengne

Faculty Publications

Background: It has been suggested that trans fatty acids (TFAs) play an important role in cardiovascular diseases. We investigated the association between plasma TFAs and the dietary inflammatory index (DII) ™ in US adults.

Methods: National Health and Nutrition Examination Survey (NHANES) participants with data on plasma TFAs measured from 1999 to 2010 were included. Energy-adjusted-DII ™ (E-DII ™) expressed per 1000 kcal was calculated from 24-h dietary recalls. All statistical analyses accounted for the survey design and sample weights.

Results: Of the 5446 eligible participants, 46.8% (n = 2550) were men. The mean age of the population was 47.1 …

Improving The Accuracy For The Long-Term Hydrologic Impact Assessment (L-Thia) Model, Anqi Zhang, Lawrence Theller, Bernard A. Engel

The Summer Undergraduate Research Fellowship (SURF) Symposium

Urbanization increases runoff by changing land use types from less impervious to impervious covers. Improving the accuracy of a runoff assessment model, the Long-Term Hydrologic Impact Assessment (L-THIA) Model, can help us to better evaluate the potential uses of Low Impact Development (LID) practices aimed at reducing runoff, as well as to identify appropriate runoff and water quality mitigation methods. Several versions of the model have been built over time, and inconsistencies have been introduced between the models. To improve the accuracy and consistency of the model, the equations and parameters (primarily curve numbers in the case of this model) …

Hazard Assessment Of Meteoroid Impact For The Design Of Lunar Habitats, Herta Paola Montoya, Shirley Dyke, Julio A. Ramirez, Antonio Bobet, H. Jay Melosh, Daniel Gomez

The Summer Undergraduate Research Fellowship (SURF) Symposium

The design of self-sustaining lunar habitats is a challenge primarily due to the Moon’s lack of atmospheric protection and hazardous environment. To assure safe habitats that will lead to further lunar and space exploration, it is necessary to assess the different hazards faced on the Moon such as meteoroid impacts, extreme temperatures, and radiation. In particular, meteoroids pose a risk to lunar structures due to their high frequency of occurrence and hypervelocity impact. Continuous meteoroid impacts can harm structural elements and vital equipment compromising the well-being of lunar inhabitants. This study is focused on the hazard conceptualization and quantification of …

Thermodynamics Of Coherent Structures Near Phase Transitions, Julia M. Meyer, Ivan Christov

The Summer Undergraduate Research Fellowship (SURF) Symposium

Phase transitions within large-scale systems may be modeled by nonlinear stochastic partial differential equations in which system dynamics are captured by appropriate potentials. Coherent structures in these systems evolve randomly through time; thus, statistical behavior of these fields is of greater interest than particular system realizations. The ability to simulate and predict phase transition behavior has many applications, from material behaviors (e.g., crystallographic phase transformations and coherent movement of granular materials) to traffic congestion. Past research focused on deriving solutions to the system probability density function (PDF), which is the ground-state wave function squared. Until recently, the extent to which …

Selection Of Breeding Stock By U.S. Meat Goat Producers, Narayan Nyaupane, Jeffrey Gillespie, Kenneth Mcmillin, Robert Harrison, Isaac Stienei

Community & Leadership Development Faculty Publications

Using nationwide survey data, we investigate U.S. meat goat producer preferences and willingness to pay for meat goat breeding stock attributes. Discrete choice experiments were employed, and mixed logit and latent class models were used for analysis. Results showed that producers preferred animals that were highly masculine/feminine, had good structure and soundness, and were of the Boer breed, whereas they preferred fewer animals that were older, of Kiko and Spanish breeds, and priced higher. Significant preference heterogeneity was found among the respondents. Larger-scale producers had greater preference for high masculinity/femininity, good structure and soundness, and Boer bucks.

Is It Legitimate Statistics Or Is It Sexism: Why Discrimination Is Not Rational, Martha Osegueda Escobar, Vladik Kreinovich, Thach N. Nguyen

Departmental Technical Reports (CS)

While in the ideal world, everyone should have the same chance to succeed in a given profession, in reality, often the probability of success is different for people of different gender and/or ethnicity. For example, in the US, the probability of a female undergraduate student in computer science to get a PhD is lower than a similar probability for a male student. At first glance, it may seem that in such a situation, if we try to maximize our gain and we have a limited amount of resources, it is reasonable to concentrate on students with the higher probability of …

Supervised Classification Using Finite Mixture Copula, Sumen Sen, Norou Diawara

Mathematics & Statistics Faculty Publications

Use of copula for statistical classification is recent and gaining popularity. For example, statistical classification using copula has been proposed for automatic character recognition, medical diagnostic and most recently in data mining. Classical discrimination rules assume normality. But in this data age time, this assumption is often questionable. In fact features of data could be a mixture of discrete and continues random variables. In this paper, mixture copula densities are used to model class conditional distributions. Such types of densities are useful when the marginal densities of the vector of features are not normally distributed and are of a mixed …

Uses Of The Hypergeometric Distribution For Determining Survival Or Complete Representation Of Subpopulations In Sequential Sampling, Brooke Busbee

Electronic Theses and Dissertations

This thesis will explore the hypergeometric probability distribution by looking at many different aspects of the distribution. These include, and are not limited to: history and origin, derivation and elementary applications, properties, relationships to other probability models, kindred hypergeometric distributions and elements of statistical inference associated with the hypergeometric distribution. Once the above are established, an investigation into and furthering of work done by Walton (1986) and Charlambides (2005) will be done. Here, we apply the hypergeometric distribution to sequential sampling in order to determine a surviving subcategory as well as study the problem of and complete representation of the …

Identifying Three-Way Gene Interactions From Microarray Data Using Kolmogorov-Smirnov And Cross-Match Tests, Shubhashree Khadka

Graduate Theses and Dissertations

Human gene network is much more complex than just pairwise interaction among the genes. Zhang et al. [6] extracted microarray data from International Genomics Consortium (IGC), and presented the detection of three-way gene interactions in their paper using Fisher’s z-transformation test. Three-way gene interactions are closer than pairwise correlations in representing the complex gene structures. Additionally, it was more tractable than assessing four or more gene interactions. In this paper, we are simulating different models where Fisher’s test might not be as effective. Zhang et al.’s approach utilized Pearson’s correlation coefficients and involved detection of linear interactions only. Since gene …

Magnetic Control Of Lateral Migration Of Ellipsoidal Microparticles In Microscale Flows, R. Zhou, C. A. Sobecki, J. Zhang, Yanzhi Zhang, Cheng Wang

Mathematics and Statistics Faculty Research & Creative Works

No abstract provided.

Genomic And Physiological Approaches To Improve Drought Tolerance In Soybean, Avjinder Kaler

Graduate Theses and Dissertations

Drought stress is a major global constraint for crop production, and improving crop tolerance to drought is of critical importance. Direct selection of drought tolerance among genotypes for yield is limited because of low heritability, polygenic control, epistasis effects, and genotype by environment interactions. Crop physiology can play a major role for improving drought tolerance through the identification of traits associated with drought tolerance that can be used as indirect selection criteria in a breeding program. Carbon isotope ratio (δ13C, associated with water use efficiency), oxygen isotope ratio (δ18O, associated with transpiration), canopy temperature (CT), canopy wilting, and canopy coverage …