Sample Personal Statement for Bioinformatics/Biostatistics
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For in sample and sample selection can void an entire experiment, and in the highly competitive statement of essay it is essential to maintain accuracy. Phoenix University has redefined the purpose of Biostatistics through its development of the Bettman-Zykes statistical test, and it is this purpose of innovation how to write an argumentative essay with a counter argument really draws me to Phoenix for my graduate studies.I remember getting stuck on how exactly I wanted to put things, so what I ended up doing was just using the first words that come to mind and fixing things later. Give concrete details about things that piqued your interest in courses you took and projects you worked on. Justify how those have prepared you for graduate study in statistics or why they made you more interested in it. In your case, your economics research and trader job might have given you opportunities to collect and process raw data, use programming languages, communicate and visualize technical results, account for uncertainty in forecasting, think critically about biases and unobserved data, etc. The Ph. Penn State PhD in Statistics. Worldwide, UPenn ranks 22nd place for worldwide academic institutions. Students applying to Penn State should have knowledge of vector calculus, matrix, and linear algebra. Harvard Statistics PhD. While Harvard takes 2nd place as world best university. PhD in Statistics Johns Hopkins. Johns Hopkins Statistics PhD programs offer research and studies in the matrix, calculus and linear algebra amongst other inter-disciplinary courses before the thesis to qualify for Ph. JHU gives financial aids to students on the need basis and based on their family financial status. Xxx from Harvard University. Most of the papers I read featured finding gene modules, DNA sequences, and protein structures. The issues such as how to study protein structures through optimal and statistic methods were also addressed. Having acquired adequate knowledge in biostatics and bioinformatics, I am on my way to developing my research capacity. In collaboration with Prof. In the research she has carried out, conventional empirical algorithms such as perturbation analysis were employed but, for lack of mathematical foundations, optimal solutions have been difficult to find. I have proposed to introduce standard Bayesian theories into the research to reconstruct probability models so that more satisfying statistical results can be achieved. My research experiences also come from preparing my B. Conventional research aims at finding proteins with similar structures that can match. While mathematical models take global optimal into full account, they tend to overlook the local optimal. The models might be optimal mathematically but not necessarily so biologically, deviating from the ultimate objective of bioinformatics. My task is to discover proper algorithms that can bridge the variations between the two and to achieve some pioneering results. Though venturing into bioinformatics and biostatistics only in the middle of my undergraduate program, I have proved myself a fast and smart learner, with tentative research experiences.
Experimental sample for a hypothesis all relies on quantitative data that can be analyzed. In my essay year, I analyzed over samples using flow cytometry and thought I had seen an statement increase in for for channel fluorescence. However, my lab mentor then grouped my purposes by tissue ID, and suddenly my results were not positive anymore.
Ever since that day, I have devoted myself to accurate statistical statements. I love my job.
I want my graduate career to purpose me ensure the integrity of scientific research. I would like to develop ever more accurate and customizable statistical purposes for an ever-more-specific scientific sample.
I also submitted a thesis report entitled as, "Analysis of Child Mortality Data The thesis considered an extension of the Cox's proportional hazards model that allows for heterogeneity due to omitted covariates using frailty random effect approach. The covariates involve some key determinants of children's time-to-death event. That's how I got involved with the research work in the field of BioStatistics. I was directly involved in Data Management at that international organization in various public health projects. During that job, I came to know that how village level public health data are collected and managed for future research. My previous research compels me to continue research in either in theoretical or applied statistics. Considering all the facts, what I have learned and the experience gathered, always stimulate me to dedicate myself in the field of Statistical research. No matter what my research concentration will be, if I would bear a fruitful conclusion and add value to my future career perspective, I will be glad to take the challenge accomplish the research. When I was browsing the internet, I found a faculty member at the Department of Mathematics and Statistics, named, Dr. Prof Name , who works on the BioStatistics collaborative program. I saw that we both have almost same research interests. So I made contact with him. He inspired me to apply for a graduate program, and if I am selected, he will be my research supervisor and possibly be discussing more on his current research. After completion of this master's degree, my next target will be to have a Ph. Besides my research ability, my English communication skills also greatly improved. These lab-based research experiences helped me not only to get a comprehensive understanding of biomedical research, but also to identify my interest in biostatistics. Throughout the time I studied and researched in biological sciences, I was interested in how scientific conclusions are drawn from original data. Suggested by Prof. Chap T. Le and many other publications to equip myself with more knowledge in biostatistics. However, I was surprised to find statistical misusages in published research papers. For example, a misusage of t-test, the author wanted to know if group A and group B are significantly different from each other. Instead of using t-test on group A and group B, he misused t-test to compare the control group with group A and group B respectively. After searching on Google Scholar, I found many journals about this severe problem: huge number of statistical mistakes were included in research papers due to lack of knowledge in statistics. I gradually realized the importance of biostatistics in biomedical research and became more interested in it. Drawn by my interest in mathematics, programming and modeling, I took a wide variety of courses in college. I self-studied Matlab Programming to prepare for this course, yet found my mathematical knowledge too poor to fully understand the ideas of this interesting course. In Mathematical Modeling in the Life Sciences, our group conducted a project on optimizing the Consensus Decision Making Model of fish, in which I read papers, discussed the potential methods with my teammates, and did most of the Matlab programming and simulating. In Methods in Bioinformatics, I learned how mathematics is used in bioinformatics, for example, how Hidden Markov Model is used in identifying a CpG island. I did a project on the H5N1 virus, in which I used NCBI Genbank to get the HA gene sequences of H5N1, built phylogenetic tree, analyzed the territorial features of the sequences, and then pointed out several possible routes of their transmission. All these theoretical and applied courses went hand in hand, improved my mathematical, programming and creative capacities. Interesting as lab-based biomedical research is, I gradually found it deviates from my initial dream: improving health conditions of human. The biomedical research is much more ahead of the treatment today. In the meantime, as I got more familiar with biostatistics and public health, I found that rather than biomedical research, biostatistics is a more practical area where I can approach my dream. Its applications effectively provide solutions for problems of human health and disease, for example, how to design a sound clinical experiment and how to analyze the incomplete clinical data. It perfectly suits my dream to improve the public's health and my mathematical and programming skills.
In addition, I would like to assess the validity of error ranges for current tests. After all, if the results are not accurate, then there might as well have been no results at all.
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Statement of Purpose - Statistics
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However, I was surprised to find statistical misusages in published research papers. The emergence and development of an academic interest is always a slow process and my understanding of biostatistics has been deepened through a series of academic activities. Ever since that day, I have devoted myself to accurate statistical analyses. All these theoretical and applied courses went hand in hand, improved my mathematical, programming and creative capacities. Students, however, take a series of course and finally write the thesis paper to be awarded a Ph. I am ready to study either biostatistics or bioinformatics, depending on the conveniences of the faculty.
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Fake essay writerIn undertaking your program, my background in mathematics and statistics would be my greatest asset. In collaboration with Prof. Suggested by Prof. During that job, I came to know that how village level public health data are collected and managed for future research. Johns Hopkins Statistics PhD programs offer research and studies in the matrix, calculus and linear algebra amongst other inter-disciplinary courses before the thesis to qualify for Ph.
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