About Peter Flom
ABOUT PETER FLOM
Since graduating I have continued to consult with Ph.D. candidates and researchers in the social, behavioral and medical sciences and in other fields as well. I have also assisted in writing numerous successful grant applications concerning the study of drug abuse and HIV prevention.
I am the first author of more than 10 papers, and co-author on numerous others, and have presented papers and given courses in many venues.
I specialize in helping students and professionals in the social sciences by providing advanced methods of statistical analysis that complement their substantive expertise. I offer a solid problem solving skill-set using software solutions such as SAS and R to create cogent analyses and graphs.
Specific statistical techniques I have used successfully include not only the standard methods such as regression, ANOVA, or logistic regression, but also such lesser known methods as survival analysis, cluster analysis, factor analysis, principal component analysis, and multi-dimensional scaling.
If you are looking for tutoring in graduate level statistics, experienced help developing support analysis for dissertations, a track record of success preparing detailed grant submissions call me today to discuss.
Let's discuss the details of your project to see if my expertise in statistical data analysis can help you build better dissertations, write more compelling grant submissions and test your hypotheses with solid statistical analysis techniques.
To achieve your goals faster please remember to supply complete contact information including your phone or cell number. A quick call can often save a lot of emails back and forth. Or call me directly right now at: 917-488-7176 to schedule a Consultation. I'm looking forward to hearing from you soon!
I have known Peter Flom as a fellow statistical data professional for several years. He is a skillful and knowledgeable statistical analyst / consultant, who is unstintingly generous with advice and assistance. He excels at explaining intricate concepts without oversimplifying, and always pays careful attention to how much one can infer from the data. Peter also understands the strengths and weaknesses of many advanced multivariate methods, and which ones are appropriate to use to solve the kinds of problems the data confronts him with. strongly recommend Peter Flom as a trustworthy analyst and advisor.Talbot Katz, Director, Analytic Capabilities, Science at AIG
Peter assisted me enormously when the time came to analyze the complex data I had collected for my dissertation. He was clearly an expert in his field, as well as quite down to earth. He engaged in conversation with me in order to figure out what relationships I was interested in analyzing, and helped me to figure out which tests to run. He allowed me to be an integral part of the development of our data analysis action plan, rather than simply taking over and doing it his way without discussion or consultation. I really appreciated his approach, as it allowed me to be a true participant in the analysis of my dissertation data. I would recommend Peter Flom without reservation to any doctoral student in need of assistance in analyzing their data set.Katherine Charlap, Ph.D., Psychotherapist, LCSW
Peter is a consummate professional who is highly skilled in biostatistics and psychometrics and is a genuine pleasure to work with. He recently authored an excellent chapter on developing and validating self report measures which will appear in my new textbook, Principles of Research Methodology. A Guide for Clinicians, to be published in June of 2012. He also helped me to design a complex study evaluating the associations between psychosocial factors, adherence to discharge instructions and outcomes after cardiac surgery in a predominantly Black inner-city population which received a Dean's Initiative Award at Downstate Medical Center at Brooklyn. I endorse him, without reservation, for any position that he is seeking.Dr. Phyllis Supino, Professor of Medicine and Public Health; SUNY College of Medicine
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