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Biostatistics

Transcript: The who wants you! The World Health Organization seeks biostatisticians for work in epidemiology research. How does the flu spread? What is the connection between smoking and lung cancer? How drunk do you actually have to be to get alcohol poisoning? An epidemiologist could answer these questions. So, what is an epidemiologist? Epidemiologists design studies and collect and analyze statistical data. This includes outbreak investigation, disease surveillance, biomonitoring, and clinical trials. It's pretty mathy, but in a good way. Epidemiologists need knowledge of statistical tools and techniques to help doctors, researchers, and other people in the health care field understand the development and spread of disease. They use data from clinical trials and lab studies to calculate how fast a disease spreads, who is at risk, and what the risk factors are. Does this sound like fun? Well, stay in school. Most epidemiological biostatisticians are physicians with degrees such as: Master of Public Health Master of Science Doctor of Pharmacy Doctor of Medicine Get some experience. This can include volunteer work with nonprofits like the Red Cross, internships at pharmaceutical companies, or work in hospitals. Cha-Ching! epidemiological biostatisticians can make between 39 and 100 thousand dollars per year. Interested? Contact the World Health Organization at their office or see the representative here today.

Biostatistics

Transcript: Biostatistics Tori Maneen About Biostatistics Analyze data and statistics on living things Draw conclusions and make predictions on medical research Work with other biostatisticians to write research proposals related to new research (New York State departement of labour,Environmental science) The Science Skills Critical thinking - being able to think on your feet complex problem solving -multiple math and sciences used at once writting and reading comprehension (New York State departement of labour) Show & Tell Interests math- statistics science - biology investigative- know how to solve problems conventional - be able to work with what is in front of you (New york state departement of labour) Atomic Ideas Workplace desired Office type setting collaborate with others must be very accurate with mathematics and sciences (New York State deparetment of labour) Contact Info Values Achievement- willing to reach your goals recognition- receiving awards for research discoveries independence- needing to be able to work by ones self and in a group setting (New York State department of labour) minimum requirement of a bachelors degree most receive a masters to a PhD takes around 4-8.5 years Education Education (New York State department of labour) Chapel Hill, North Carolina 659 miles from Frankfort,New York High academics,SAT,and ACT scores work/research experience (optional) letters of recomendation personal statement tuition is $15,981.50 additional fees are $979 University of North Carolina University of North Carolina (University of North Carolina) Brown University Providence, Rhode Island 245 miles from Frankfort, New york $75 registration fee transcripts must be sent directly from previous school one academic recomendation required one other recomendation from someone in the cominity SAT and Act tests are recomended to be submited tuition costs $50,224, living expenses cost $8,284, meal plan costs $4,916, textbooks cost $1,540, other fees cost $1,142 total program cost is $68,106 Brown University (Brown University) medical knowledge- biology and biochemistry environmental science physics Other degrees Other degrees (Environmental science) no extra training after college senior biostatisticians have more resposibility managing others requires work expierience to advance in the job starting salary is $56,000 in New York State per year top 10% ear around $88,940 per year nationaly and in New York the job is expected to grow 22% over the next 10 years The Job The Job (Environmental science) " Biostatistics ." Gillings school of global public health .University of North Carolina , n.d. Web. 16 May 17. < http://www.unc.edu/search-unc/search-results/?q=biostatistics> "Biostatistics home ." Home of Biostatistics . ;Brown university, n.d. Web. 17 May 17. <https://www.brown.edu/academics/public-health/biostatistics/>. "Occupation details for Statisticians." New York State Career Zone. New York state department of labour , n.d. Web. 9 May 17. <https://www.careerzone.ny.gov/views/careerzone/search/occupation/occupationProfile.jsf#.WRHCtO0rLrc>. " What is a biostatistician?" environmental science . N.p., 9 Nov. 15. Web. 10 May 17. < http://www.environmentalscience.org/career/biostatistician>. work cited work cited

Biostatistics

Transcript: By Jason Schwarze Frankie Tierney VJ Sompalli Bethany Brockhoff Biostatistics Model R^2 adj R^2 CP MSE n All 0.52 0.5002 3.6632 1988.803 103 The best model using Hispanic Females was found to be: Y= 146.449 + 7.107(AP classes) + 68.560(Current GPA) + -29.866(Cumulative GPA) + .787(Days absent) The best model using White Males was found to be: Y= 206.08 + 15.752(AP classes) + 27.341(Cumulative GPA) + 1.302(Days absent) Model R^2 adj R^2 CP MSE n Black Female 0.844 0.7854 2.0863 624.3967 12 Hay Number of AP classes Model R^2 adj R^2 CP MSE n Hispanic Female 0.913 0.8629 3.8062 261.2544 12 The number of days absent has little to no effect on the Reading FCAT score for Hispanic Females Current GPA The best model for using Black Females was found to be: Y= 19.038 + 58.823(Current GPA) + 21.305(Cumulative GPA) + 1.590(Days absent) This project attempts to predict what a student will score on the Reading portion of the FCAT based upon: Jason Schwarze The number of AP classes is not a factor in determining the FCAT score for Black Males and Females. Model R^2 adj R^2 CP MSE n White Male 0.437 0.3861 0.5148 3377.407 25 GPA The best model using White Females was found to be: Y= 232.718 + -1.733(Study hours) + 15.994(AP classes) + 2.912(Current GPA) + 3.693(Days absent) So what can be learned from this data? Gender The best model for using Black Males was found to be: Y= -229.707 + 13.867(Average study hours) + 23.139(Age) + 43.821(Current GPA) + 6.206(Days absent) ANOVA Table for all students The number days absent The Florida Comprehensive Assessment Test (FCAT) is used to grade students, teachers and schools. and Ethnicity Jason Schwarze The best model for using Hispanic Males was found to be: Y= 146.449 + 7.107(AP classes) + 68.560(Current GPA) + -29.866(Cumulative GPA) + .787(Days absent) Model R^2 adj R^2 CP MSE n Black Male 0.752 0.5534 3.2277 2692.016 10 Model R^2 adj R^2 CP MSE n Hispanic Male 0.667 0.5553 1.4272 1157.653 13 Age is a major factor in determining the reading FCAT score for Black Males Age The Florida Comprehensive Assessment Test (FCAT) is used to grade students, teachers and schools. Model R^2 adj R^2 CP MSE n White Female 0.676 0.6242 3.5025 1200.676 31 This is 16 The best model for using all subjects was found to be: Y= 188.98 + 15.292(AP Classes) + 14.579(Current GPA) + 16.369(Cumulative GPA) + 2.258(Days absent) Average study hours per week

BIOSTATISTICS

Transcript: STATISTICAL TECHNIQUES Observational study An example of an observational study is one that explores the correlation between smoking and lung cancer. This type of study typically uses a survey to collect observations about the area of interest and then performs statistical analysis. In this case, the researchers would collect observations of both smokers and non-smokers, perhaps through a case-control study, and then look for the number of cases of lung cancer in each group. There are four main levels of measurement used in statistics: nominal, ordinal, interval, and ratio. Each of these have different degrees of usefulness in statistical research. Ratio measurements have both a meaningful zero value and the distances between different measurements defined; they provide the greatest flexibility in statistical methods that can be used for analyzing the data. STEPS BIOSTATISTICS 1. Planning the Research 2. Designing the Experiments 3. Performing the Experiment 4. Further examining the data set in secondary analyses, to suggest new hypotheses for future study. 5. Documenting and presenting the results of the study An experimental study involves taking measurements of the system under study, manipulating the system, and then taking additional measurements using the same procedure to determine if the manipulation has modified the values of the measurements. In contrast, an observational study does not involve experimental manipulation. Instead, data are gathered and correlations between predictors and response are investigated. Interval estimation 1 Experiments A common goal for a statistical research project is to investigate causality, and in particular to draw a conclusion on the effect of changes in the values of predictors or independent variables on dependent variables or response. - to define normally - to test whether the difference between two populations, regarding a particular attribute is real or a chance of occurence - to study the correlation or association between two or more attributes in the same population - to evaluate the efficacy of vaccines, sera, etc. by control studies - to evaluate the achievements of public health programs - to fix priorities in public health programs USES Experimental and observational studies Because variables conforming only to nominal or ordinal measurements cannot be reasonably measured numerically, sometimes they are grouped together as categorical variables, whereas ratio and interval measurements are grouped together as quantitative variables, which can be either discrete or continuous, due to their numerical nature. WHAT IS BIOSTATISTICS? Confidence intervals allow statisticians to express how closely the sample estimate matches the true value in the whole population. Often they are expressed as 95% confidence intervals. - statistics is the science of competing, classifying and tabulating numerical data and expressing results in a mathematical/ graphical data. - biostatistics is that branch of statistics concerned with mathematical facts and data relating to biological events. -is the application of statistics to problems in the biological sciences, health, and medicine. 3 Levels of measurement 2

Biostatistics

Transcript: Research Validity Internal External Reliability Cronbach's Alpha Research Design Random Assignment Control group Sampling Central Tendency mean, median, mode Variability Standard Deviation Standard Scores, Z-Score t-tests ANOVA Chi-square Correlation Regression ANCOVA Factor Analysis HLM Structural Equation Modeling The right tool yields the right outcome Questions? is important use overview to show relations is important too is important Inferential Statistics are tools for decision making Descriptive zoom in, ant add details to these Frames Biostatistics is here

Biostatistics

Transcript: Created by Allyson for Pre-Calc 12 Take-Out and Bio Statistics Take-Out Take-Out I chose the episode "Take-Out" where there are a series of robberies at different fancy restaurants. The mathematician, Charlie, must figure out a way to pin point the robber's next location. The Solution The Solution In order to bust the robbers, Charlie and the rest of the team must figure out a strategy that leads them to the next location the robbers will hit. One way to do that is to use probability and statistics. Probability -Probability is defined as "the measure of the likelihood that an event will occur. -In order to calculate the probability of something, you must divide the number of favorable (to the advantage of something) outcomes by the number of total outcomes. -To find probability in the episode "Take-Out" you would divide the number of restaurants the robbers are most likely to rob by the number of total restaurants in the area. Probability -Statistics is defined as the collection of data for interpretation and organization purposes. -In the episode, the investigation team collected data, which in this case was the reports of the robberies. -An example relating to the episode could be for instance, we select 10 restaurants out of 20 in the area, the average amount of money withheld at the restaurants would be an example of a statistic. Statistics Statistics Bio Statistics Bio Statistics Bio Statistics is the application of statistics to different aspects of biology, their job is to make sense of all of the data. Bio Statisticians are the ones who answer questions like "Does this new drug really work?", or "What causes cancer?" and even "How long is a person with said illness likely to survive?" A real life example of this, is professor Samuel Wasser who collected the data from the tusks and feces off of elephants to pinpoint where poaching happens in Africa. Calculating In order to calculate statistical data, you need to use this formula.

BIOSTATISTICS

Transcript: Biostatistics are common in finding cures to modern heart diseases such as Some of the commonly known diseases biostatistics helps cure BASIC BIOSTATISTICS Hello fellow students, and this is my presentation. (By the way, be sure to pay attention to the layout of the circles/slides.)

Biostatistics

Transcript: Basic STATISTICS in healthcare research Why to study about statistics?? Stat application in biological data Eg., Hair colour, height, APGAR score, Body fluid volume etc.. 01 DATA 02 SCALES of measurement 03 Nominal Ordinal Interval Ratio Colour, Gender Rating scale, Class ranks Time of day, year, IQ Age, Height, Weight Normal distribution 04 Kolmogorov-Smirnov test Shapiro-Wilk test SHOULD FOLLOW: Normal distribution Continuous data Measures of dispersion Range, interquartile range, standard deviation Title Measures of central tendency Title 06 PARAMETRIC TEST NON- PARAMETRIC TEST Paired T test Unpaired T test One way analysis of variance Repeated measures ANOVA Pearson correlation Wilcoxon rank sum test Mann-Whitney U test Kruskal wallis test Friedmann test Spearmann correlation Variables Effects of a mouthwash with chlorine dioxide on oral malodor and salivary bacteria: a randomized clinical trial Title Dependent & Independent variable The Antioxidant Effects of Hydroxytyrosol and Vitamin E on Pediatric Nonalcoholic Fatty Liver Disease, in a Clinical Trial: A New Treatment? Title Success : p VALUE Sir Ronald A. Fisher 06 Types of error: Title Research hypothesis: A new cancer drug arrests the growth of cancer cells Null hypothesis: A new cancer drug would not arrests the growth of cancer cells

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