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(05) Which of our services do you need?
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Indexing
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(15) The name(s) of the advisors(s) you'd like to contact:
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THESIS AND DISSERTATION WRITING HELP
TOPIC CONSULTANTS
John Bucci: finance, econometrics, mathematics, probability, data analysis, SAS, STATA, Matlab
B Collins: applied social psychology, research methods and assessments, communications, culture/ethnicity, ethics/morality, health, interpersonal processes, person perception, social influence, prejudice/stereotyping.
Tom Davidson: Doctorate program director: industrial psychology, organizational psychology, management, leadership, quantitative research, survey methodology, interviewing, applied field research, focus groups, mediation and moderation studies.
Helps students turn research ideas into specific and practical research designs, hypotheses, analytical methods and chapter outlines, literature reviews, methodology chapters.
Margaret Eaton: theology, classical Hebrew; Old Testament, Koine Greek, New Testament.
Les Foxman: public relations, journalism, communications.
Val Gerard: biology, botany, chemistry, ecology, environmental policy, environmental science, evolutionary biology, geography, geology, marine science, mathematical modeling, medicine, oceanography, physiology, veterinary medicine, zoology, and related scientific fields.
Dr. Gilbert:
Certified SAS base programmer, biostatistical analysis, medical data analysis, medical statistician, medical statistical analysis, biostatistician, survival analysis, ANOVA, MANOVA, ANCOVA, longitudinal data, repeated measures, path analysis, logistic regression, power calculations, structural equation modeling, robust data analysis, non parametric data analysis, cluster analysis, linear and logistic models, classification analysis, stepwise variable selection.
Dr. Sara H.:
Statistical Geneticist,
Quantitative Genetics,
Genetic Epidemiology,
Genotypic and Haplotype Tests,
Hardy-Weinberg equilibrium,
Genome-Wide Association Studies,
Golden Helix,
R Statistics – R Programming
Dr. Tracy Jackson: Nursing, Human Services, Social Work, Mental Health, Community Services.
Vicki Lawrence: Biostatistics, Research Methodologies, Public Health,
Epidemiology Research, Data Set Management
Suzanne Manness: business English, technical English. APA, MLA, Chicago Manual of Style, Turabian, Harvard, AMA, and AAA.
Debbie Nogsmith: Nursing and allied health fields, methodology, oral defense, alternative health care, social justice, integral studies, nursing ethics, nursing practice curriculum, cultural competency, feminism, geriatric nursing, health education, advising, coaching, mentoring, research
Chris Tomei: Slavic studies, humanities, computational linguistics, linguistic theory, Russian, comparative literature, folklore, modernism and women's studies, international relations, comparative culture, indexer of scholarly books.
Barbara von Diether: research strategies, scholarly writing, education administration, education technology, secondary education, curriculum development, needs assessment, education leadership, instructional design, instructional media, advertising, business administration, business management, business and educational leadership training and development, communications.
INDEXER
Madge Wallace is a professional freelance indexer. She creates indexes found at the back of nonfiction books. When an index is done according to generally accepted indexing standards, it performs flawlessly. The reader finds what he is looking for and doesn’t give the index a second thought. On the other hand, if the index is poorly done, the reader becomes frustrated and will likely move on to the next book. Worse yet, a nonfiction book published without an index may not be taken seriously by the publishing industry. In short, a good index enhances the value of a book to readers, reviewers, librarians, instructors, and researchers. It is a mark of a serious book.
STATISTICAL GENETICIST Quantitative Genetics Genetic Epidemiology Genotypic and Haplotype Tests Hardy-Weinberg equilibrium Genome-Wide Association Studies Golden Helix R Statistics – R Programming
Statistical analyses for genetic, biological, and clinical data
Dr. Sara H. specializes in the analysis of genetic, biological, experimental, and clinical data. She is accomplished in the areas of statistical genetics, quantitative genetics, bioinformatics and biostatistics. Dr. Sara H. was trained in mathematics and biology (BA), statistics (MA), and genetics (Ph.D.). She worked as a statistical geneticist for The Rockefeller University in the Laboratory of Statistical Genetics, with Allan Award winner Dr. Jurg Ott. She works with researchers and clinicians from Baylor College of Medicine, Rockefeller University, and Casey Eye Institute.
For medical researchers and clinicians …
She crafts statistical analyses targeted to specific hypotheses and determines which statistics would best be applied to the biological questions. Working with a variety of scientists, she has contributed to the publication of over 35 peer-reviewed publications and research abstracts within the last five years. She has publications within the areas of heart disease, age-related macular degeneration, and drug addiction.
For graduate students in biology, genetics, bioinformatics, and biostatistics …
Sara teaches basic statistics courses as well as statistics courses specific to human genetics, and was formally trained as a statistical geneticist. As a statistical geneticist in a department of primarily molecular biologists, she developed an ability to communicate complex mathematical concepts clearly to both students and fellow scientists. With her combined training in both genetic epidemiology and statistical genetics, she has expertise in analyzing genetic data. Her Ph.D. thesis explored the role of context dependency and interaction in human genetics.
Summary …
She helps select and/or perform the proper statistical analyses for genetic, biological, and clinical data. She helps develop meaningful hypotheses with statistical analyses that reflect the biological questions being asked. She recognizes issues specific to biological and genetic data and understands how they may influence statistical analyses. As a medical communications consultant, she helps communicate research results in publications, presentations, and posters. Her purpose is not just to produce results, but to relate them understandably. She assists in the design of research studies or--if the research design is complete--performs the data analyses. She will work with you throughout the process to ensure that your questions are answered. She will either assist you in doing your own analyses or perform the analyses for you with a written report of the results. She has experience in writing grants, papers and presentations, both as a supporting statistician and as a first author. She also has experience teaching statistics and statistical genetics, and is available to provide consultation and statistical support to trainees on research projects. She can assist you in documenting the statistical methods used in the data analysis, in producing clean and comprehensible graphs and tables, in preparing bibliographic entries relevant to the statistical analysis, and in manuscript content drafting and review.
Sara H. also has expertise in both observational data (cross-sectional and longitudinal studies of patients and population studies of individuals) and experimental data (rats, mice, cell lines). Sara can help with issues such as linkage disequilibrium, inter-relatedness, and context-dependent effects.
Areas of advanced expertise: programming in R, genetic analysis of related individuals (e.g., generalized estimating equations, family-based association tests), genetic analysis of unrelated individuals (e.g., t-tests, analysis of variance, chi-square tests, logistic regression, genotypic and haplotype tests, Genome-wide association studies (GWAS), next generation sequencing analysis, interaction analyses (GXG, GXE, EXE)), and fitting data to the underlying assumptions (e.g., linkage disequilibrium, Hardy-Weinberg equilibrium, tests of normality, transformation of data), as well as traditional statistical analyses including, but not limited to, ANOVA, longitudinal analysis, survival analysis, linear regression, meta-analysis, power analysis, permutation testing, and various methods of correction for multiple testing.
All analyses are performed in R or using statistical genetics software such as Golden Helix. This allows her to deal with the large amounts of data being produced in the area of genetics, such as the million marker chips.
Dr. Sarah H.