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2015

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Full-Text Articles in Statistics and Probability

Pesticide Exposure, Behavior Of Farmer, And Activity Of Cholinesterase Enzyme In Blood Of Fertile Women Farmers, Deni Abdul Rahman, Zakianis Zakianis, Laila Fitria Nov 2015

Pesticide Exposure, Behavior Of Farmer, And Activity Of Cholinesterase Enzyme In Blood Of Fertile Women Farmers, Deni Abdul Rahman, Zakianis Zakianis, Laila Fitria

Kesmas

Petani perempuan usia subur berisiko mengalami penurunan aktivitas kolinesterase akibat pajanan pestisida. Penelitian ini bertujuan untuk menganalisis hubungan antara pajanan pestisida dan perilaku pemajan terhadap aktivitas kolinesterase petani perempuan usia subur di Desa Kedunguter. Penelitian ini menggunakan desain potong lintang pada 94 petani perempuan usia subur tahun 2015. Pengumpulan data dilakukan secara observasi, wawancara, dan uji kolinesterase. Analisis data menggunakan uji kai kuadrat dan hasil analisis menunjukkan hubungan signifikan antara jenis pestisida, waktu kerja, penggunaan sarung tangan, perilaku mencuci tangan terhadap aktivitas kolinesterase petani perempuan usia subur. Hasil analisis pada penelitian ini menunjukkan bahwa variabel waktu kerja memiliki nilai odds …


The Use Of Earthworms And Household Organic Waste Composting Length Of Time, Abdul Khair, Lucky Herawati, Noraida Noraida, Munawar Raharja Nov 2015

The Use Of Earthworms And Household Organic Waste Composting Length Of Time, Abdul Khair, Lucky Herawati, Noraida Noraida, Munawar Raharja

Kesmas

Pengomposan dengan cacing tanah merupakan proses pembuatan kompos dengan melibatkan organisme makro cacing tanah. Kerja sama antara cacing tanah dengan mikroorganisme dapat memberi dampak pada proses penguraian yang dilakukan oleh mikroorganisme tersebut dibantu dengan keberadaan cacing tanah. Oleh karena bahan-bahan yang akan diurai oleh mikroorganisme telah diurai lebih dahulu oleh cacing, maka kerja mikroorganisme lebih efektif dan lebih cepat. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan cacing tanah terhadap lama waktu pengomposan sampah organik dari rumah tangga dengan menggunakan desain penelitian eksperimen. Objek penelitian adalah seluruh sampah organik dari rumah tangga yang diambil secara acak pada satu rumah tangga. Variabel …


Riwayat Berat Badan Lahir Dengan Kejadian Stunting Pada Anak Usia Bawah Dua Tahun, Atikah Rahayu, Fahrini Yulidasari, Andini Octaviana Putri, Fauzie Rahman Nov 2015

Riwayat Berat Badan Lahir Dengan Kejadian Stunting Pada Anak Usia Bawah Dua Tahun, Atikah Rahayu, Fahrini Yulidasari, Andini Octaviana Putri, Fauzie Rahman

Kesmas

Kabupaten Hulu Sungai Utara masih dihadapkan dengan permasalahan gizi pada anak bawah dua tahun (baduta). Salah satu masalah gizi hingga saat ini adalah stunting. Anak dengan riwayat berat badan lahir rendah (BBLR) merupakan salah satu faktor yang potensial memengaruhi pertumbuhan anak. Penelitian ini bertujuan untuk mengkaji risiko riwayat berat badan lahir dengan kejadian stunting pada anak baduta. Desain penelitian adalah potong lintang. Populasi penelitian ini merupakan ibu-ibu yang memiliki anak baduta dan besar sampel sejumlah 117 terdiri dari anak baduta. Pelaksanaan penelitian dilakukan selama tiga bulan pada bulan September – November 2014. Kategori BBLR jika riwayat berat badan lahir < 2.500 gram. Analisis data bivariat menggunakan uji kai kuadrat dan data multivariat menggunakan uji regresi logistik. Hasil analisis bivariat menunjukkan bahwa terdapat hubungan yang signifikan antara riwayat status BBLR (nilai p = 0,015) dengan stunting pada anak baduta. Berdasarkan hasil analisis multivariat, diperoleh bahwa BBLR merupakan faktor risiko yang paling dominan berhubungan dengan kejadian stunting. Anak dengan BBLR memiliki risiko 5,87 kali untuk mengalami stunting. Riwayat BBLR memiliki peranan penting dalam kejadian stunting anak baduta di wilayah Puskesmas Sungai Karias, Hulu Sungai Utara. North Hulu Sungai District is still facing nutrition problems among children under two years old. One of nutrition problems up to now is stunting. Child with low birthweight (LBW) record is one of potential factors influencing the growth of a child. This study aimed to assess any risk of LBW records with stunting incidence among children under two years old. This study used cross-sectional design. The population was mothers having children under two years old and samples amounted to 117 consisted of children under two years old. This study was conducted within three months on September – November 2014. Category of LBW was if birth weight records < 2,500 gram. Bivariate data analysis used chi-square test and multivariate data analysis used logistic regression test. The result of bivariate analysis showed a significant relation between LBW status records (p value = 0.015) with stunting incidence among children under two years old. Based on the result of multivariate analysis, LBW was the most dominating risk factor related to stunting incidence. Children with LBW had 5.87 times risk of suffering from stunting. LBW records take an important role in stunting incidence among children under two years old around Sungai Karias Primary Health Care area in North Hulu Sungai.


Penemuan Kasus Infeksi Kusta Subklinis Pada Anak Melalui Deteksi Kadar Antibodi (Igm) Anti Pgl-1, Arif Sujagat, Fardhiasih Dwi Astuti, Eva Muslimawati Saputri, Annisa Sani, Agil Dwi Prasetya Nov 2015

Penemuan Kasus Infeksi Kusta Subklinis Pada Anak Melalui Deteksi Kadar Antibodi (Igm) Anti Pgl-1, Arif Sujagat, Fardhiasih Dwi Astuti, Eva Muslimawati Saputri, Annisa Sani, Agil Dwi Prasetya

Kesmas

]Kusta merupakan penyakit menular kronis yang disebabkan Mycobacterium leprae. Indonesia menempati peringkat ketiga penyumbang kasus kusta terbanyak di dunia pada tahun 2012 – 2014. Kota Surabaya merupakan daerah endemis kusta. Penelitian ini bertujuan untuk deteksi dini kusta subklinis berdasarkan pengukuran kadar antibodi (IgM) anti PGL-1 dan mengetahui faktor-faktor yang berhubungan dengan kusta subklinis pada anak di Kota Surabaya. Penelitian analitik menggunakan desain potong lintang pada bulan April - Mei 2015. Populasi dilakukan penelitian adalah keluarga yang memiliki anggota penderita kusta. Sampel dipilih dengan teknik simple random sampling dan sebanyak 30 kepala keluarga terpilih melalui rapid school and village survey pada …


Pre-Eklampsia Berat Dan Kematian Ibu, Nova Muhani, Besral Besral Nov 2015

Pre-Eklampsia Berat Dan Kematian Ibu, Nova Muhani, Besral Besral

Kesmas

Pre-eklampsia berat, salah satu penyebab utama kematian ibu di Indonesia dan di RSUD Dr. H. Abdul Moeloek Lampung, merupakan penyebab kematian ibu nomor satu (47,25%). Penelitian ini bertujuan untuk mengetahui hubungan prediktor pre-eklampsi berat (PEB) yang dinilai dari tekanan darah sistolik, tekanan darah diastolik, proteiunuria, eklampsia, sindrom hemolysis, elevated liver enzymes, low platelets count (HELLP) dengan kematian ibu di RSUD Dr. H. Abdul Moeloek. Penelitian ini menggunakan desain kasus kontrol dengan jumlah sampel 60 kasus dan 120 kontrol. Data diolah dari rekam medis rumah sakit selama periode lima tahun (2010 – 2014). Hasil penelitian ini memperlihatkan bahwa sindrom HELLP memiliki …


Peran Tenaga Kesehatan Dan Keluarga Dalam Kehamilan Usia Remaja, Mery Ramadani, Dien Gusta Anggraini Nursal, Livia Ramli Nov 2015

Peran Tenaga Kesehatan Dan Keluarga Dalam Kehamilan Usia Remaja, Mery Ramadani, Dien Gusta Anggraini Nursal, Livia Ramli

Kesmas

Sebanyak 10,3% kematian tidak langsung pada ibu disebabkan kehamilan usia remaja (< 20 tahun). Di Kabupaten Tanah Datar, masih terjadi peningkatan kehamilan usia remaja dalam tiga tahun terakhir. Penelitian ini bertujuan untuk mengetahui peran tenaga kesehatan, dukungan keluarga, dan pengetahuan remaja dengan kehamilan usia remaja di wilayah kerja Puskesmas Singgalang, Kabupaten Tanah Datar tahun 2014. Penelitian dilaksanakan pada bulan Mei – Juni 2014 menggunakan desain potong lintang. Populasi adalah seluruh remaja putri berusia < 20 tahun yang telah menikah berjumlah 215 orang. Sampel berjumlah 68 orang dan pengambilan sampel dilakukan secara proporsional di delapan jorong/desa. Data dikumpulkan melalui wawancara menggunakan kuesioner. Kemudian, analisis bivariat dilakukan dengan uji kai kuadrat dan analisis multivariat dengan uji regresi logistik ganda. Hasil penelitian mendapatkan sebanyak 55,9% responden hamil di usia remaja. Sebanyak 52,9% responden kurang merasakan peran dari tenaga kesehatan, 66,2% kurang mendapat dukungan keluarga, dan 58,8% memiliki pengetahuan rendah. Didapatkan hubungan peran tenaga kesehatan (nilai p = 0,032), dukungan keluarga (nilai p = 0,025), dan tingkat pengetahuan (nilai p = 0,002) dengan kehamilan usia remaja. Dapat disimpulkan bahwa tenaga kesehatan, keluarga dan tingkat pengetahuan berperan dalam kehamilan remaja. Tenaga kesehatan perlu memberikan penyuluhan mengenai risiko kehamilan remaja kepada remaja serta keluarga. Worth 10.3% of indirect maternal death is due to teenage pregnancy (< 20 years old). In Tanah Datar District, the increase of teenage pregnancy has occured in the last three years. This study aimed to determine health worker's role, family's support and teenagers' knowledge with teenage pregnancy in work area of Singgalang Primary Health Care, Tanah Datar District in 2014. This study was conducted on May – June 2014 using cross-sectional design. Population was 215 married teenage girls < 20 years old. A total of sample was 68 selected proportionally in eight villages. Data were collected through interview using questionnaire. Then bivariate analysis was conducted using chi-square test and multivariate analysis using multiple logistic regression test. Results of study found 55.9% of respondents were pregnant in teen age. Respondents worth 52.9% got less health worker’s role, 66.2% got less family’s support and 58.8% had low level of knowledge. There was a relation found between health worker’s role (p value = 0.032), family’s support (p value = 0.025) and knowledge level (p value = 0.002) with teenage pregnancy. In conclusion, health workers, family and knowledge level play a role in teenage pregnancy. Health workers need to provide counseling concerning teenage pregnancy risks for both teenagers and families.


Pengaruh Musik Keroncong Selama Pelaksanaan Kangaroo Mother Care Terhadap Respons Fisiologis Dan Lama Rawat Bayi Dengan Berat Badan Lahir Rendah, Anita Rahmawati, Endah Marianingsih Theresia, Yuliasti Eka Purnamaningrum Nov 2015

Pengaruh Musik Keroncong Selama Pelaksanaan Kangaroo Mother Care Terhadap Respons Fisiologis Dan Lama Rawat Bayi Dengan Berat Badan Lahir Rendah, Anita Rahmawati, Endah Marianingsih Theresia, Yuliasti Eka Purnamaningrum

Kesmas

Kangaroo mother care (KMC) merupakan metode merawat bayi berat badan lahir rendah (BBLR). Beberapa intervensi perawatan di neonatal intensive care unit seperti pijat bayi, KMC, dan mendengarkan musik bermanfaat untuk pertumbuhan bayi berupa respons fisiologis BBLR dan mengurangi lama rawat. Penelitian ini bertujuan untuk mengetahui manfaat musik keroncong terhadap respons BBLR selama KMC dan lama rawat. Rancangan penelitian adalah quasi eksperimental dengan pretest dan posttest dengan desain grup kontrol. Pada Juli - September 2014 populasi penelitian adalah ibu dan bayi BBLR yang melaksanakan KMC. Pengambilan sampel dengan purposive sampling sebanyak 60 bayi. Kriteria inklusi bayi BBLR yang ditetapkan adalah berat …


Disability Prevention Programs For Older People: Factors Associated With Medical And Nursing Care Costs, Takaaki Ikeda, Susumu Yanagawa, Kenichi Murakami, Toshiyuki Inoue, Takamasa Tsurumi Nov 2015

Disability Prevention Programs For Older People: Factors Associated With Medical And Nursing Care Costs, Takaaki Ikeda, Susumu Yanagawa, Kenichi Murakami, Toshiyuki Inoue, Takamasa Tsurumi

Kesmas

Penelitian ini bertujuan untuk mengklarifikasi faktor-faktor yang terkait dengan biaya medis dan perawatan lanjut usia (lansia) yang tinggal di panti sosial serta menyarankan program pencegahan disabilitas yang efektif. Total partisipan dalam penelitian ini adalah 83 orang (29 laki-laki dan 54 perempuan; usia rata-rata 81,2 ± 6,3 tahun) pada 1 November – 28 Desember 2014. Penelitian ini membandingkan biaya medis dan perawatan rata-rata per bulan dengan rata-rata nasional bagi yang berusia ≥ 65 tahun. Uji regresi logistik dilakukan untuk memeriksa keterkaitannya dengan biaya medis dan perawatan. Mereka yang pergi ke luar rumah ≥ 3 kali seminggu tiga kali lebih kecil kemungkinannya …


A Localized Approach To The Origins Of Pottery In Upper Mesopotamia, Elizabeth Gibbon Nov 2015

A Localized Approach To The Origins Of Pottery In Upper Mesopotamia, Elizabeth Gibbon

Laurier Undergraduate Journal of the Arts

No abstract provided.


Monitoring For Adverse Events Post Marketing Approval Of Drugs, Karl E. Peace, Macaulay Okwuokenye Nov 2015

Monitoring For Adverse Events Post Marketing Approval Of Drugs, Karl E. Peace, Macaulay Okwuokenye

Biostatistics: Faculty Publications

This brief communication provides information to those developing monitoring plans for serious adverse events (SAE’s) following regulatory approval of a new drug. In addition, we (1) illustrate how many patients would need to be treated in order to have high confidence of seeing at least 1 pre-specified SAE, (2) show that absence of proof of a SAE is not proof of absence of that SAE, and (3) identify statistical methodology that could be used for formal statistical monitoring of SAE’s.


Meta-Analysis Of Genome-Wide Association Studies With Correlated Individuals: Application To The Hispanic Community Health Study/Study Of Latinos (Hchs/Sol), Tamar Sofer, John R. Shaffer, Misa Graff, Qibin Qi, Adrienne M. Stilp, Stephanie M. Gogarten, Kari E. North, Carmen R. Isasi, Cathy C. Laurie, Adam A. Szpiro Nov 2015

Meta-Analysis Of Genome-Wide Association Studies With Correlated Individuals: Application To The Hispanic Community Health Study/Study Of Latinos (Hchs/Sol), Tamar Sofer, John R. Shaffer, Misa Graff, Qibin Qi, Adrienne M. Stilp, Stephanie M. Gogarten, Kari E. North, Carmen R. Isasi, Cathy C. Laurie, Adam A. Szpiro

UW Biostatistics Working Paper Series

Investigators often meta-analyze multiple genome-wide association studies (GWASs) to increase the power to detect associations of single nucleotide polymorphisms (SNPs) with a trait. Meta-analysis is also performed within a single cohort that is stratified by, e.g., sex or ancestry group. Having correlated individuals among the strata may complicate meta-analyses, limit power, and inflate Type 1 error. For example, in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), sources of correlation include genetic relatedness, shared household, and shared community. We propose a novel mixed-effect model for meta-analysis, “MetaCor", which accounts for correlation between stratum-specific effect estimates. Simulations show that MetaCor controls …


Bayes Multiple Binary Classifier - How To Make Decisions Like A Bayesian, Wensong Wu Nov 2015

Bayes Multiple Binary Classifier - How To Make Decisions Like A Bayesian, Wensong Wu

Mathematics Colloquium Series

This presentation will start by a general introduction of Bayesian statistics, which has become popular in the era of big data. Then we consider a two-class classification problem, where the goal is to predict the class membership of M units based on the values of high-dimensional categorical predictor variables as well as both the values of predictor variables and the class membership of other N independent units. We focus on applying generalized linear regression models with Boolean expressions of categorical predictors. We consider a Bayesian and decision-theoretic framework, and develop a general form of Bayes multiple binary classification functions with …


Nested Partially-Latent, Class Models For Dependent Binary Data, Estimating Disease Etiology, Zhenke Wu, Maria Deloria-Knoll, Scott L. Zeger Nov 2015

Nested Partially-Latent, Class Models For Dependent Binary Data, Estimating Disease Etiology, Zhenke Wu, Maria Deloria-Knoll, Scott L. Zeger

Johns Hopkins University, Dept. of Biostatistics Working Papers

The Pneumonia Etiology Research for Child Health (PERCH) study seeks to use modern measurement technology to infer the causes of pneumonia for which gold-standard evidence is unavailable. The paper describes a latent variable model designed to infer from case-control data the etiology distribution for the population of cases, and for an individual case given his or her measurements. We assume each observation is drawn from a mixture model for which each component represents one cause or disease class. The model addresses a major limitation of the traditional latent class approach by taking account of residual dependence among multivariate binary outcome …


Analysis Of Rheumatoid Arthritis Data Using Logistic Regression And Penalized Approach, Wei Chen Nov 2015

Analysis Of Rheumatoid Arthritis Data Using Logistic Regression And Penalized Approach, Wei Chen

USF Tampa Graduate Theses and Dissertations

In this paper, a rheumatoid arthritis (RA) medicine clinical dataset with an ordinal response is selected to study this new medicine. In the dataset, there are four features, sex, age,treatment, and preliminary. Sex is a binary categorical variable with 1 indicates male, and 0 indicates female. Age is the numerical age of the patients. And treatment is a binary categorical variable with 1 indicates has RA, and 0 indicates does not have RA. And preliminary is a five class categorical variable indicates the patient’s RA severity status before taking the medication. The response Y is 5 class ordinal variable shows …


Ensemble Learning Method On Machine Maintenance Data, Xiaochuang Zhao Nov 2015

Ensemble Learning Method On Machine Maintenance Data, Xiaochuang Zhao

USF Tampa Graduate Theses and Dissertations

In the industry, a lot of companies are facing the explosion of big data. With this much information stored, companies want to make sense of the data and use it to help them for better decision making, especially for future prediction. A lot of money can be saved and huge revenue can be generated with the power of big data. When building statistical learning models for prediction, companies in the industry are aiming to build models with efficiency and high accuracy. After the learning models have been developed for production, new data will be generated. With the updated data, the …


Structural Properties Of Transmuted Weibull Distribution, Kaisar Ahmad, S. P. Ahmad, A. Ahmed Nov 2015

Structural Properties Of Transmuted Weibull Distribution, Kaisar Ahmad, S. P. Ahmad, A. Ahmed

Journal of Modern Applied Statistical Methods

The transmuted Weibull distribution, and a related special case, is introduced. Estimates of parameters are obtained by using a new method of moments.


New Entropy Estimators With Smaller Root Mean Squared Error, Amer Ibrahim Al-Omari Nov 2015

New Entropy Estimators With Smaller Root Mean Squared Error, Amer Ibrahim Al-Omari

Journal of Modern Applied Statistical Methods

New estimators of entropy of continuous random variable are suggested. The proposed estimators are investigated under simple random sampling (SRS), ranked set sampling (RSS), and double ranked set sampling (DRSS) methods. The estimators are compared with Vasicek (1976) and Al-Omari (2014) entropy estimators theoretically and by simulation in terms of the root mean squared error (RMSE) and bias values. The results indicate that the suggested estimators have less RMSE and bias values than their competing estimators introduced by Vasicek (1976) and Al-Omari (2014).


An Empirical Study On Different Ranking Methods For Effective Data Classification, Ilangovan Sangaiah, A. Vincent Antony Kumar, Appavu Balamurugan Nov 2015

An Empirical Study On Different Ranking Methods For Effective Data Classification, Ilangovan Sangaiah, A. Vincent Antony Kumar, Appavu Balamurugan

Journal of Modern Applied Statistical Methods

Ranking is the attribute selection technique used in the pre-processing phase to emphasize the most relevant attributes which allow models of classification simpler and easy to understand. It is a very important and a central task for information retrieval, such as web search engines, recommendation systems, and advertisement systems. A comparison between eight ranking methods was conducted. Ten different learning algorithms (NaiveBayes, J48, SMO, JRIP, Decision table, RandomForest, Multilayerperceptron, Kstar) were used to test the accuracy. The ranking methods with different supervised learning algorithms give different results for balanced accuracy. It was shown the selection of ranking methods could be …


Caution For Software Use Of New Statistical Methods (R), Akiva J. Lorenz, Barry S. Markman, Shlomo Sawilowsky Nov 2015

Caution For Software Use Of New Statistical Methods (R), Akiva J. Lorenz, Barry S. Markman, Shlomo Sawilowsky

Journal of Modern Applied Statistical Methods

Open source programming languages such as R allow statisticians to develop and rapidly disseminate advanced procedures, but sometimes at the expense of a proper vetting process. A new example is the least trimmed squares regression available in R’s lqs() in the MASS library. It produces pretty regression lines, particularly in the presence of outliers. However, this procedure lacks a defined standard error, and thus it should be avoided.


Inferences About The Skipped Correlation Coefficient: Dealing With Heteroscedasticity And Non-Normality, Rand Wilcox Nov 2015

Inferences About The Skipped Correlation Coefficient: Dealing With Heteroscedasticity And Non-Normality, Rand Wilcox

Journal of Modern Applied Statistical Methods

A common goal is testing the hypothesis that Pearson’s correlation is zero and typically this is done based on Student’s T test. There are, however, several well-known concerns. First, Student’s T is sensitive to heteroscedasticity. That is, when it rejects, it is reasonable to conclude that there is dependence, but in terms of making a decision about the strength of the association, it is unsatisfactory. Second, Pearson’s correlation is not robust: it can poorly reflect the strength of the association. Even a single outlier can have a tremendous impact on the usual estimate of Pearson’s correlation, which can result in …


Front Matter, Jmasm Editors Nov 2015

Front Matter, Jmasm Editors

Journal of Modern Applied Statistical Methods

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Jmasm34: Two Group Program For Cohen's D, Hedges’ G, Η2, Radj2, Ω2, Ɛ2, Confidence Intervals, And Power, David A. Walker Nov 2015

Jmasm34: Two Group Program For Cohen's D, Hedges’ G, Η2, Radj2, Ω2, Ɛ2, Confidence Intervals, And Power, David A. Walker

Journal of Modern Applied Statistical Methods

The purpose of this research is to provide an application for users interested in a SPSS syntax program to determine an array of commonly-employed effect sizes and confidence intervals not readily available in SPSS functionality, such as the standardized mean difference and r-related squared indices, for a between-group design.


Monte Carlo Comparison Of The Parameter Estimation Methods For The Two-Parameter Gumbel Distribution, Demet Aydin, Birdal Şenoğlu Nov 2015

Monte Carlo Comparison Of The Parameter Estimation Methods For The Two-Parameter Gumbel Distribution, Demet Aydin, Birdal Şenoğlu

Journal of Modern Applied Statistical Methods

The performances of the seven different parameter estimation methods for the Gumbel distribution are compared with numerical simulations. Estimation methods used in this study are the method of moments (ME), the method of maximum likelihood (ML), the method of modified maximum likelihood (MML), the method of least squares (LS), the method of weighted least squares (WLS), the method of percentile (PE) and the method of probability weighted moments (PWM). Performance of the estimators is compared with respect to their biases, MSE and deficiency (Def) values via Monte-Carlo simulation. A Monte Carlo Simulation study showed that the method of PWM was …


Contrails: Causal Inference Using Propensity Scores, Dean S. Barron Nov 2015

Contrails: Causal Inference Using Propensity Scores, Dean S. Barron

Journal of Modern Applied Statistical Methods

Contrails are clouds caused by airplane exhausts, which geologists contend decrease daily temperature ranges on Earth. Following the 2001 World Trade Center attack, cancelled domestic flights triggered the first absence of contrails in decades. Resultant exceptional data capacitated causal inference analysis by propensity score matching. Estimated contrail effect was 6.8981°F.


Two Stage Robust Ridge Method In A Linear Regression Model, Adewale Folaranmi Lukman, Oyedeji Isola Osowole, Kayode Ayinde Nov 2015

Two Stage Robust Ridge Method In A Linear Regression Model, Adewale Folaranmi Lukman, Oyedeji Isola Osowole, Kayode Ayinde

Journal of Modern Applied Statistical Methods

Two Stage Robust Ridge Estimators based on robust estimators M, MM, S, LTS are examined in the presence of autocorrelation, multicollinearity and outliers as alternative to Ordinary Least Square Estimator (OLS). The estimator based on S estimator performs better. Mean square error was used as a criterion for examining the performances of these estimators.


The Bayes Factor For Case-Control Studies With Misclassified Data, Tzesan Lee Nov 2015

The Bayes Factor For Case-Control Studies With Misclassified Data, Tzesan Lee

Journal of Modern Applied Statistical Methods

The question of how to test if collected data for a case-control study are misclassified was investigated. A mixed approach was employed to calculate the Bayes factor to assess the validity of the null hypothesis of no-misclassification. A real-world data set on the association between lung cancer and smoking status was used as an example to illustrate the proposed method.


Identification And Survival Outcomes Of A Cohort Of Patients With Cancer Of Unknown Primary In Ontario, Canada., Chong S Kim, Malek B Hannouf, Sisira Sarma, George B Rodrigues, Peter K Rogan, Salaheddin M Mahmud, Eric Winquist, Muriel Brackstone, Gregory S Zaric Nov 2015

Identification And Survival Outcomes Of A Cohort Of Patients With Cancer Of Unknown Primary In Ontario, Canada., Chong S Kim, Malek B Hannouf, Sisira Sarma, George B Rodrigues, Peter K Rogan, Salaheddin M Mahmud, Eric Winquist, Muriel Brackstone, Gregory S Zaric

Epidemiology and Biostatistics Publications

BACKGROUND: Cancer of unknown primary origin (CUP) is defined by the presence of pathologically identified metastatic disease without clinical or radiological evidence of a primary tumour. Our objective was to identify incident cases of CUP in Ontario, Canada, and determine the influence of histology and sites of metastases on overall survival (OS).

MATERIAL AND METHODS: We used the Ontario Cancer Registry (OCR) and the Same-Day Surgery and Discharge Abstract Database (SDS/DAD) to identify patients diagnosed with CUP in Ontario between 1 January 2000, and 31 December 2005. Patient diagnostic information, including histology and survival data, was obtained from the OCR. …


Resolving The Issue Of How Reliability Is Related To Statistical Power: Adhering To Mathematical Definitions, Donald W. Zimmerman, Bruno D. Zumbo Nov 2015

Resolving The Issue Of How Reliability Is Related To Statistical Power: Adhering To Mathematical Definitions, Donald W. Zimmerman, Bruno D. Zumbo

Journal of Modern Applied Statistical Methods

Reliability in classical test theory is a population-dependent concept, defined as a ratio of true-score variance and observed-score variance, where observed-score variance is a sum of true and error components. On the other hand, the power of a statistical significance test is a function of the total variance, irrespective of its decomposition into true and error components. For that reason, the reliability of a dependent variable is a function of the ratio of true-score variance and observed-score variance, whereas statistical power is a function of the sum of the same two variances. Controversies about how reliability is related to statistical …


In (Partial) Defense Of .05, Thomas R. Knapp Nov 2015

In (Partial) Defense Of .05, Thomas R. Knapp

Journal of Modern Applied Statistical Methods

Researchers are frequently chided for choosing the .05 alpha level as the determiner of statistical significance (or non-significance). A partial justification is provided.


Vol. 14, No. 2 (Full Issue), Jmasm Editors Nov 2015

Vol. 14, No. 2 (Full Issue), Jmasm Editors

Journal of Modern Applied Statistical Methods

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