biostatistics project topics
December 5, 2020
Southern New Hampshire University. Below is a list of some successful project topics that have been done by past statistics students. All MStat, Biostatistics students are required to complete and successfully defend a project prior to graduating. After watching an infomercial on a new and improved fishing rod, I bought it to determine if I would catch more fish than my old fishing rod. Final Article Review Project. Click on any to read its Contents for MSC, BSC, HND Project topics and scope are mutually agreed on with the student, advisor, and the project examining committee. Intuitive Biostatistics, by Harvey Motulsky (New York, Oxford University Press, 1995). From radiation therapy to clinical trials to check-ins with your doctor, your care is made as convenient as possible. In parallel, there have been significant advances in the characterization of transcriptional regulatory networks (TRNs) on a genome wide scale for sequenced microbes. Additionally, new technologies and ideas are constantly opening up new research areas. Analysis of data from coronavirus survivors and victims 2. MAVERIC is a large, multidisciplinary research center involved in local and national VA research initiatives, including the Million Veterans Project and the Precision Medicine Initiative. More Details . Problem Solving Using Data Lists of mathematics topics This article includes a mathematics-related list of lists: This page was last edited on 6 July 2020, at 17:56 (UTC). 2010). The project must be completed by the end of the second semester of Biostatistics in Practice (end of April). CHW is a national network of pediatricians and public health researchers that collects data in urban hospitals with the mission of improving the health and development of young children by informing policies that address economic hardships. Healthcare: Probiotics may lead to indigestion and diarrhea. How do those functions interact to produce the ecosystems that we observe? He collected data on height, weight,age,gender,systolic and diastolic blood pressure. AP Statistics Projects Ideas Some of these ideas are dated but might provide you with an idea of your own. Prof Daniel Prieto-Alhambra, University of Oxford. Local, national, and international studies in parental, fetal, child, and adult health across the life span that integrate public health, medicine, and the social sciences. MVP is one of the largest genetics cohorts in the world, using data provided by US Veterans to study the genetic determinants of disease. The Long Life Family Study (LLFS): a study of healthy older adults, their siblings, offspring and spouses to discover genetic and non-genetic factors of healthy aging and longevity. We will develop comprehensive models of data uncertainty, and then use analytic and simulation methods to incorporate these models into the framework developed in Aim 1, leading to optimal and novel approaches to testing and informed study design. Current approaches to the development of iMRMs either ignore or significantly under-interpret expression data. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. 2010; Matthew DeJongh et al. Center for the Advancement of Christian Education, K and K Dooyema Center for Entrepreneurship and Innovation, Institutional Code of Conduct for Educational Loans, Application for High School Theatre Festival, Support Services For Students With Disabilities, Accessibility For Students With Disabilities, Supplemental Educational Opportunity Grant. Correcting for Site-Specific Biases into Population-Level Effect Estimates Synthesized from Distributed Data Networks (NDORMS-2021/7) University of Oxford Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences. You will use data to address pressing health topics, such as genetic modeling, bone health, kidney disease, and the links between stressful experiences, health, well-being and cognition. Over the past five years, there have been significant advances in the development and understanding of genome-wide metabolic networks for bacterial organisms. Alzheimer disease (AD) is the most common type of dementia, a set of disorders characterized by memory impairment. We have 10 biostatistics PhD Projects, Programs & Scholarships. Human statistical genetics research background and aims (project topics) The technological and computational breakthroughs in the years since the sequencing of the human genome have provided an unprecedented opportunity to understand the etiology of complex human diseases. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. 1. Take the Metro (not the S-train) from the airport to … What drives these interactions? Each topic will be introduced with examples from published clinical research papers; and all homework assignments will expose learner to hands-on data analysis using real-life datasets. Biostatistics projects may include using biostatistics methods to determine associations between exposure(s) and outcome(s) or analysis of trends in a public health outcome of interest. Meta-analysis provides a set of statistical procedures to combine results across studies on the same topic, highlighting the consistency or inconsistency of the results and evaluating the various threats to the validity of the combined estimate. Current and newly proposed variant-set based tests which attempt to address large variant situations vary in how they combine and weight variants, leading to poorly understood differences in performance under different genetic models. Many studies are based on the Framingham Heart Study, examining risk factors for cardiovascular disease, diabetes, dementia, and accelerated brain aging. Statistical planning, analysis, and inference is so crucial to the kind of research conducted by Hopkins GIM researchers that the Division has built a cadre of in-house methodologists, trained in epidemiology and biostatistics, who work side-by-side with content-oriented clinical researchers and their trainees. I'm in an engineering statistics class, and one of our projects is to develop an experiment where you alter one or two variables and determine the effect. Dordt’s COVID-19 alert level is YELLOW. Computational methods of genetics and survival analysis 3. Aim 2: Evaluate variant set tests in the presence of imperfect data Most variant-set tests have been evaluated on simulated sequence data that assume perfect genotypes, perfect phenotypes and well-defined sets of variants. I've been thinking of choosing research topics for PhD dissertation in Biostatistics. 2. Dealing with missing data in environmental health data 4. Three developments position us to be able to approach predictive understanding of metabolic and regulatory features of microbes: One of the greatest challenges in the field of metabolic modeling is this – metabolic models must capture gene regulatory information to more accurately model the metabolic response of an organism to its environment (Lewis et al. Introduction Biostatistics, commonly referred to as biometry, is the use of statistics in a wide range of topics in biology. TRNs are being systematically predicted for major bacterial groups using the first approach (e.g., (D. Rodionov et al. View Biostatistics Research Papers on Academia.edu for free. Aim 3: Develop post-hoc analyses to identify causal variants and inform replication study design Following a statistically significant variant-set association, post-hoc methods are required to decompose the test statistic to extract crucial information for designing replication studies and inferring underlying genetic models. From Copenhagen Airport to the Section of Biostatistics. Sorry, we couldn't find any giving options for the selected designation. In reality, all of this data is subject to uncertainty. Biostatistics in Practice Project. Units can be selected at random or not at random, and can be allocated to groups by randomization or not. Inference on Conditional Quantile Residual Life Functions. Afribary curates list of academic papers and project topics in Biostatistics. About the Summer Program; Current Research Projects. Topics include descriptive statistics and graphical displays of data, probability, confidence intervals, hypothesis testing for means and proportions, linear and logistic regression and survival analysis. Given current access to thousands of MMs (see below) and access to iMRMs for many organisms (outcome of Aim 1), we will be in a unique position to use these MMs and iMRMs in the development and application of methods to explore the impacts of environment, evolution and community on metabolic and regulatory diversity. The Biostatistics and Data Management Core collaborates extensively with URBAN ARCH Consortium investigators in studies examining relationships between HIV, alcohol consumption, and comorbid health conditions. We extend standard prediction methods to include high-dimensional covariate data, and we investigate their prediction performance. Specific biostatistical tools are needed to account for the transmissible nature of infectious diseases. This project will combine time-varying data on emissions from over 1000 power plants in the US and measures of air pollution (and population health) at 10s of thousands of US zip codes to learn about the network defining how regulatory interventions at specific power plants spill across the country to impact the air people breathe. We are working to develop innovative statistical tools to monitor the incidence and transmission dynamics of Tuberculosis, the leading cause of infectious disease death globally. Aim 3. Social Sciences: The students of Asian ethnicity are better in Math. An important part of student training is interaction with faculty on research projects. Figure 1, taken from , displays four possible study designs and notes their allowable inference(s), if any. We have identified a series of methodological improvements which will substantially improve iMRM development. The New England Centenarians Study: the largest and most comprehensive study of centenarians in the world. We will read all but chapters 29, 32, 33, and 34 as part of the course. 2005) to semi- and completely-automated approaches, which are being applied to thousands of sequenced bacterial genomes through our earlier efforts (see below). Search Funded PhD Projects, Programs & Scholarships in Public Health & Epidemiology, biostatistics. 2011). We will develop methods to utilize the iMRMs developed in Aim 1 to suggest wet-lab experiments to perturb aspects of metabolic networks currently under-explored in publically available datasets. This study is designed to investigate the complex relationships among lifespan measures of BMI and exome and miRNA expression profiling in post mortem brain tissue. These efforts have leveraged the subsystems approach to genome annotation as implemented in the SEED (Ross Overbeek et al. The framework directly relates parameters in the genetic disease model to test performance, giving analytic insight into the behavior of existing tests. 2. This article itemizes the various lists of statistics topics.Some of these lists link to hundreds of articles; some link only to a few. 2011; D. Ravcheev et al. Students can find additional information in the Undergraduate Student Guide and Graduate & Professional Student Guide. We will develop and apply novel approaches to utilize MMs and iMRMs on thousands of organisms to better understand metabolic and regulatory diversity. 2017/2018 Review and Comparison of Statistical Methods for Analyzing Data Sets Containing Variables With Detection Limits. In this proposal, we outline a series of methodological advances that will (1) effectively combine these three data types (metabolic models, TRNs, and gene expression data) into integrated metabolic regulatory models (iMRMs) and (2) provide applications that will aid researchers in the systematic exploration of metabolic and regulatory functions of microbes. The Framingham Heart Study has enrolled over 15,000 participants across three generations to explore cardiovascular disease epidemiology. Antonella Iuliano, Monica Franzese, in Encyclopedia of Bioinformatics and Computational Biology, 2019. After watching an infomercial on a new and improved fishing rod, I bought it to determine if I would catch more fish than my old fishing rod. Gutman's research focuses on topics such as Bayesian analysis, bioinformatics, causal inference, file linking, and missing data. A/Prof Patrick Ryan, … Below are selected titles from projects completed with the past two years: Regardless of which tests emerge as optimal in the presence of large numbers of genetic variants, several challenges will remain toward applying these methods to real, imperfect data and then inferring underlying genetic architecture based on a statistically significant test result. Enhancement Newborn Screening to Improve the Efficacy of Cord Blood Transplant for Krabbe Disease 9/16/16 2. We will develop novel methods to unravel variant-set test statistics to estimate genetic architecture at the locus and utilize this information to determine cost-effective replication designs. However, mounting evidence suggests poor performance of many widely used variant-set methods as the number of variants increases into the hundreds and thousands. The Biostatistics in Practice project offers the student an opportunity to acquire and demonstrate proficiency in statistical collaboration and data analysis. This will allow researchers to uncover novel biology, further refine iMRMs, and link metabolic reactions to genes of unknown function. Biostatistics students frequently work on research projects related to vector-borne diseases, human immunodeficiency virus, sexually transmitted diseases, hospital admissions, vital records, toxicology, outbreak investigations, chronic diseases, nutrition, and environmental and occupational epidemiology. Biostatistics, Biostatisticians | Review and cite BIOSTATISTICS protocol, troubleshooting and other methodology information | Contact experts in BIOSTATISTICS to get answers MS Data Analysis Project Examples. Download as PDF. Screening tests are widely used in cancer settings. Types of Data Qualitative Data Nominal Ordinal Quantitative Data Discrete Continuous Interval Ratio 20. FindAPhD. For example, surveying Duke undergraduates to see which sex studies more doesn't yield a whole lot of interesting conclusions. I'm a senior math student at my local uni, and want to study either Statistics or Biostatistics in grad-school. Looking for more information about giving opportunities? Several faculty specialize in the design and conduct of observational studies, measuring associations between exposures and disease. Face masks are required. Sickle Cell Anemia: a monogenic disorder that affects only US minorities. This isn't a list that you have to pick from; in fact, you'll get a higher grade if you come up with something else. The technological and computational breakthroughs in the years since the sequencing of the human genome have provided an unprecedented opportunity to understand the etiology of complex human diseases. THE IMPORTANCE OF VARIANCE ANALYSIS IN A MANUFACTURING COMPANY. Announced in President Obama’s State of the Union address, PMI will be an NIH cohort of one million participants used to study the genetics of many diseases. 19. Text is available under the Creative Commons Attribution-ShareAlike License; additional terms may apply. This study examines the impact of providing personalized genetic risk information for obesity on people’s attitudes and beliefs about obesity, as well as several health behaviors and weight outcomes. Biostatistics is a growing field with applications in many areas of biology including epidemiology, medical sciences, health sciences, educational research and environmental sciences. Biostatistics students frequently work on research projects related to vector-borne diseases, human immunodeficiency virus, sexually transmitted diseases, hospital admissions, vital records, toxicology, outbreak investigations, chronic diseases, nutrition, and environmental and occupational epidemiology. This project will combine time-varying data on emissions from over 1000 power plants in the US and measures of air pollution (and population health) at 10s of thousands of US zip codes to learn about the network defining how regulatory interventions at specific power plants spill across the country to impact the air people breathe. What is the functional diversity that exists in the microbial world? We develop new statistical methods to examine agreement in large-scale agreement studies. Aim 2. That may change between now and the start of the program. Biostatistics is a growing field with applications in many areas of biology including epidemiology, medical sciences, health sciences, educational research and environmental sciences. Biostatistics and Research Methods The American Heritage Dictionary defines statistics as: "The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling." A QUALITY CONTROL ANALYSIS OF CEMENTS IN DANGOTE CEMENT PLC (A CASE STUDY OF … Correlated data analysis and spatial statistics involve the use of advanced statistical methods for solving real public health problems. At the foundation of many such questions is the lack of power for single marker, rare variant tests of association, motivating the development of many, potentially more powerful, variant-set tests, which aggregate evidence from many individual variants into a single test statistic. , commonly referred to as biometry, is the use of the mathematical tools used in statistics to the of. Completed by the end of the Internet leads to increase in distance and. 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