Biostatistics (a contraction of biology and statistics; sometimes referred to as biometry or biometrics) is the application of statistics Statistics is the formal science of making effective use of numerical data relating to groups of individuals or experiments. It deals with all aspects of this, including not only the collection, analysis and interpretation of such data, but also the planning of the collection of data, in terms of the design of surveys and experiments to a wide range of topics in biology Biology is a natural science concerned with the study of life and living organisms, including their structure, function, growth, origin, evolution, distribution, and taxonomy. The science of biostatistics encompasses the design of biological experiments, especially in medicine Medicine is the science and art of healing. It encompasses a range of health care practices evolved to maintain and restore health by the prevention and treatment of illness. Before scientific medicine, healing arts were practised in accordance with alchemical treatments and ritual practices that developed out of religious and cultural traditions and agriculture Agriculture is the production of food and goods through farming. Agriculture was the key development that led to the rise of human civilization, with the husbandry of domesticated animals and plants creating food surpluses that enabled the development of more densely populated and stratified societies. The study of agriculture is known as; the collection, summarization, and analysis of data from those experiments; and the interpretation of, and inference from, the results.

Contents

Biostatistics and the history of biological thought

Biostatistical reasoning and modeling were of critical importance to the foundation theories of modern biology. In the early 1900s, after the rediscovery of Mendel's Gregor Johann Mendel was an Augustinian priest and scientist, who gained posthumous fame as the figurehead of the new science of genetics for his study of the inheritance of certain traits in pea plants. Mendel showed that the inheritance of these traits follows particular laws, which were later named after him. The significance of Mendel's work work, the conceptual gaps in understanding between genetics Genetics , a broad discipline of biology, is the science of heredity, genes, DNA, mutation, etc., and their functions and aspects in living organisms. The fact that living things inherit traits from their parents has been used since prehistoric times to improve crop plants and animals through selective breeding. However, the modern science of and evolutionary Darwinism Darwinism is a set of movements and concepts related to ideas of transmutation of species or evolution, including ideas with no connection to the work of Charles Darwin. The meaning of Darwinism has changed over time, and varies depending on who is using the term. In the United States, Darwinism is often used by creationists as a pejorative term led to vigorous debate between biometricians such as Walter Weldon and Karl Pearson Karl Pearson FRS established the discipline of mathematical statistics and Mendelians such as Charles Davenport, William Bateson William Bateson was a British geneticist, a Fellow of St. John's College, Cambridge. He was the first person to use the term genetics to describe the study of heredity and biological inheritance, and the chief populariser of the ideas of Gregor Mendel following their rediscovery in 1900 by Hugo de Vries and Carl Correns and Wilhelm Johannsen Wilhelm Johannsen was a Danish botanist, plant physiologist and geneticist. He was born in Copenhagen. While very young, he was apprenticed to a pharmacist and worked in Denmark and Germany beginning in 1872 until passing his pharmacist's exam in 1879. In 1881, he became assistant in the chemistry department at the Carlsberg Laboratory under the. By the 1930s statisticians and models built on statistical reasoning had helped to resolve these differences and to produce the neo-Darwinian modern evolutionary synthesis The modern evolutionary synthesis is a union of ideas from several biological specialties which forms a logical account of evolution. This synthesis has been accepted by nearly all working biologists. The synthesis was produced over about a decade (1936–1947), and the development of population genetics (1918–1932) was the stimulus. This showed.

The leading figures in the establishment of this synthesis all relied on statistics and developed its use in biology.

These individuals and the work of other biostatisticians, mathematical biologists Mathematical and theoretical biology is an interdisciplinary academic research field with a range of applications in biology, medicine and biotechnology. The field may be referred to as mathematical biology or biomathematics to stress the mathematical side, or as theoretical biology to stress the biological side. It includes at least four major, and statistically inclined geneticists helped bring together evolutionary biology Evolutionary biology is a sub-field of biology concerned with the origin of species from a common descent and descent of species, as well as their change, multiplication and diversity over time. Someone who studies evolutionary biology is known as an evolutionary biologist. To philosopher Kim Sterelny, "the development of evolutionary biology and genetics Genetics , a broad discipline of biology, is the science of heredity, genes, DNA, mutation, etc., and their functions and aspects in living organisms. The fact that living things inherit traits from their parents has been used since prehistoric times to improve crop plants and animals through selective breeding. However, the modern science of into a consistent, coherent whole that could begin to be quantitatively Statistics is the formal science of making effective use of numerical data relating to groups of individuals or experiments. It deals with all aspects of this, including not only the collection, analysis and interpretation of such data, but also the planning of the collection of data, in terms of the design of surveys and experiments modeled.

In parallel to this overall development, the pioneering work of D'Arcy Thompson in On Growth and Form also helped to add quantitative discipline to biological study.

Despite the fundamental importance and frequent necessity of statistical reasoning, there may nonetheless have been a tendency among biologists to distrust or deprecate results which are not qualitatively The term qualitative data is used to describe certain types of information. This is the almost the converse of quantitative data, in which items are more precisely described data in terms of quantity and in which numerical values are used. However, data originally obtained as qualitative information about individual items may give rise to apparent. One anecdote describes Thomas Hunt Morgan Thomas Hunt Morgan was an American embryologist who won the Nobel Prize in Physiology or Medicine in 1933 for discoveries relating the role the chromosome plays in heredity banning the Friden calculator from his department at Caltech The California Institute of Technology is a private research university located in Pasadena, California, United States. Caltech has six academic divisions with a strong emphasis on sciences and engineering. Its primary 124-acre (50 ha) campus is located approximately 11 miles (18 km) northeast of downtown Los Angeles, saying "Well, I am like a guy who is prospecting for gold along the banks of the Sacramento River in 1849. With a little intelligence, I can reach down and pick up big nuggets of gold. And as long as I can do that, I'm not going to let any people in my department waste scarce resources in placer mining Placer mining is the mining of alluvial deposits for minerals. This may be done by open-pit (also called open-cast mining) or by various forms of tunneling into ancient riverbeds. Excavation may be accomplished using water pressure (hydraulic mining), surface excavating equipment or tunneling equipment."[1] Educators are now adjusting their curricula to focus on more quantitative concepts and tools.[2]

Education and training programs

Almost all educational programmes in biostatistics are at postgraduate Postgraduate education involves learning and studying for degrees or other qualifications for which a first or Bachelor's degree generally is required, and is normally considered to be part of tertiary or higher education. In North America, this level is generally referred to as graduate school level. They are most often found in schools of public health, affiliated with schools of medicine, forestry, or agriculture or as a focus of application in departments of statistics.

In the United States ^ b. English is the de facto language of American government and the sole language spoken at home by 80% of Americans age five and older. Spanish is the second most commonly spoken language, while several universities have dedicated biostatistics departments, many other top-tier universities integrate biostatistics faculty into statistics or other departments, such as epidemiology Epidemiology is the study of factors affecting the health and illness of populations, and serves as the foundation and logic of interventions made in the interest of public health and preventive medicine. It is considered a cornerstone methodology of public health research, and is highly regarded in evidence-based medicine for identifying risk. Thus departments carrying the name "biostatistics" may exist under quite different structures. For instance, relatively new biostatistics departments have been founded with a focus on bioinformatics Bioinformatics is the application of statistics and computer science to the field of molecular biology and computational biology Computational biology is an interdisciplinary field that applies the techniques of computer science, applied mathematics and statistics to address biological problems. The main focus lies on developing mathematical modeling and computational simulation techniques. By these means it addresses scientific research topics with their theoretical and, whereas older departments, typically affiliated with schools of public health Public health is "the science and art of preventing disease, prolonging life and promoting health through the organized efforts and informed choices of society, organizations, public and private, communities and individuals." It is concerned with threats to the overall health of a community based on population health analysis. The, will have more traditional lines of research involving epidemiological studies and clinical trials Clinical Trials are conducted to allow safety and efficacy data to be collected for health interventions . These trials can take place only after satisfactory information has been gathered on the quality of the non-clinical safety, and Health Authority/Ethics Committee approval is granted in the country where the trial is taking place as well as bioinformatics. In larger universities where both a statistics and a biostatistics department exist, the degree of integration between the two departments may range from the bare minimum to very close collaboration. In general, the difference between a statistics program and a biostatistics one is twofold: (i) statistics departments will often host theoretical/methodological research which are less common in biostatistics programs and (ii) statistics departments have lines of research that may include biomedical applications but also other areas such as industry (quality control For instance, the parameters for a pressure vessel should include not only the material and dimensions, but also operating, environmental, safety, reliability and maintainability requirements), business and economics Economics is the social science that is concerned with the production, distribution, and consumption of goods and services. The term economics comes from the Ancient Greek οἰκονομία from οἶκος (oikos, "house") + νόμος (nomos, "custom" or "law"), hence "rules of the house(hold)". Current and biological areas other than medicine.

Applications of biostatistics

Statistical methods are beginning to be integrated into medical informatics Health informatics, Health care informatics or medical informatics is the intersection of information science, computer science, and health care. It deals with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, and use of information in health and biomedicine. Health informatics tools include not only, public health informatics, bioinformatics and computational biology.

Biostatistics journals

Related fields

Biostatistics shares several methods with quantitative fields such as:

See also

References

  1. ^ Charles T. Munger (2003-10-03). "Academic Economics: Strengths and Faults After Considering Interdisciplinary Needs". http://www.tilsonfunds.com/MungerUCSBspeech.pdf.
  2. ^ "Spotlight:application of quantitative concepts and techniques in undergraduate biology". http://www.reinventioncenter.miami.edu/Spotlights/BioMath.htm.
  3. ^ Helen Causton, John Quackenbush and Alvis Brazma (2003). "Statistical Analysis of Gene Expression Microarray Data". Wiley-Blackwell.
  4. ^ Terry Speed (2003). "Microarray Gene Expression Data Analysis: A Beginner's Guide". Chapman & Hall/CRC.
  5. ^ Frank Emmert-Streib and Matthias Dehmer (2010). "Medical Biostatistics for Complex Diseases". Wiley-Blackwell.
  6. ^ Warren J. Ewens and Gregory R. Grant (2004). "Statistical Methods in Bioinformatics: An Introduction". Springer.

External links

Journals

Statistics
Descriptive statistics
Continuous data
Location Mean (Arithmetic, Geometric, Harmonic) · Median · Mode
Dispersion Range · Standard deviation · Coefficient of variation · Percentile · Interquartile range
Shape Variance · Skewness · Kurtosis · Moments · L-moments
Count data Index of dispersion
Summary tables Grouped data · Frequency distribution · Contingency table
Statistical graphics Bar chart · Biplot · Box plot · Control chart · Correlogram · Forest plot · Histogram · Q-Q plot · Run chart · Scatter plot · Stemplot · Radar chart
Data collection
Designing studies Effect size · Standard error · Statistical power · Sample size determination
Survey methodology Sampling · Stratified sampling · Opinion poll · Questionnaire
Controlled experiment Design of experiments · Randomized experiment · Random assignment · Replication · Blocking · Regression discontinuity · Optimal design
Uncontrolled studies Natural experiment · Quasi-experiment · Observational study
Statistical inference
Bayesian inference Prior · Posterior · Credible interval · Bayes factor · Bayesian estimator · Maximum posterior estimator
Classical inference Confidence interval · Hypothesis testing · Sampling distribution · Meta-analysis
Specific tests Z-test (normal) · Student's t-test · F-test · Chi-square test · Pearson's chi-square · Wald test · Mann–Whitney U · Shapiro–Wilk · Signed-rank
General estimation Mean-unbiased · Median-unbiased · Maximum likelihood · Method of moments · Minimum distance · Maximum spacing · Density estimation
Correlation and regression analysis
Correlation Pearson product-moment correlation · Rank correlation (Spearman's rho, Kendall's tau) · Partial correlation · Confounding variable
Linear regression Simple linear regression · Ordinary least squares · General linear model · Analysis of variance · Analysis of covariance
Non-standard predictors Nonlinear regression · Nonparametric · Semiparametric · Isotonic · Robust
Generalized linear model Exponential families · Logistic (Bernoulli) · Binomial · Poisson
Data analyses and models for other specific data types
Multivariate statistics Multivariate regression · Principal components · Factor analysis · Cluster analysis · Copulas
Time series analysis Decomposition · Trend estimation · Box–Jenkins · ARMA models · Spectral density estimation
Survival analysis Survival function · Kaplan–Meier · Logrank test · Failure rate · Proportional hazards models · Accelerated failure time model
Categorical data McNemar's test · Cohen's kappa
Applications
Environmental statistics Geostatistics · Climatology
Medical statistics Epidemiology · Clinical trial · Clinical study design
Social statistics Actuarial science · Population · Demography · Census · Psychometrics · Official statistics · Crime statistics
Category · Portal · Outline · Index
Major subfields of biology
Anatomy · Astrobiology · Biochemistry · Biomechanics · Biophysics · Bioinformatics · Biostatistics · Botany · Cell biology · Chemical biology · Chronobiology · Conservation biology · Developmental biology · Ecology · Epidemiology · Evolutionary biology · Genetics · Genomics · Histology · Human biology · Immunology · Marine biology · Mathematical biology · Microbiology · Molecular biology · Mycology · Neuroscience · Nutrition · Origin of life · Paleontology · Parasitology · Pathology · Pharmacology · Physiology · Quantum biology · Systems biology · α-Taxonomy · Toxicology · Zoology

Categories: Biostatistics | Bioinformatics | Public health | Demography

 

The above information uses material from Wikipedia and is licensed under the GNU Free Documentation License.
Some facts may not have been fully verified for accuracy. [Disclaimers]
This page was last archived by our server on Fri Jul 30 19:41:27 2010. [ refresh local cache ]
Displaying this page or its contents does not use any Wikimedia Foundation's resources.
The owners of this site proudly support the Wikimedia Foundation.


Pupils turn backs on healthy meals - Swindon Advertiser
news.google.com
Pupils turn backs on healthy meals

Swindon Advertiser

... according to the study by the Centre For Epidemiology and Biostatistics at the University of Leeds, which focused on 89 primary schools across Britain. ...



and more »
Google News Search: Biostatistics,
Tue Jan 19 06:09:34 2010
s3 jpg
biostat.jhsph.edu
s3 jpg
600px x 600px | 61.80kB

[source page]

10 blocks One 3 locus frequently observed block carrying the signal

Yahoo Images Search: Biostatistics,
Sun May 30 21:04:43 2010
Methods for testing association between uncertain genotypes and ...
biostatistics.oxfordjournals.org
Methods for testing association between uncertain genotypes and ...

Kutalik, Z., Johnson, T., Bochud, M., Mooser, V., Vollenweider, P., Waeber, G., Waterworth, D., Beckmann, J. S., Bergmann, S.

Fri, 11 Jun 2010 16:04:38 GM

Interpretabilit​y and power of genome-wide association studies can be increased by imputing unobserved genotypes, using a reference panel of individuals genotyped at higher marker density. For many markers, genotypes cannot be imputed ...

Google Blogs Search: Biostatistics,
Wed Jul 14 01:32:27 2010
Biostatistics; Comparing data obtained for different concentrations; Is it correct to compare them?
Q. Example: The % inhibition obtained for different concentrations (0.005%, 0.05%, 0.5%, 5%); All the data are in the range of 80 to 90%; For example, 85% inhibition at 0.005% concentration is not comparable with 85% inhibition at 5% concentration. Is it correct to compare the % inhibition after to conversion to Unit concentration, say 1% concentration?
Asked by gurumani_n7743 - Sun Jan 7 00:44:10 2007 - - 1 Answers - 0 Comments

A. It is only correct to do so if there is a logarithmic linear relationship between concentration and inhibition. If there is a curvilinear or non-logarithmic linear relationship relationship, you would have to derive the equation of the curve to compare concentration and inhibition. I use GraphPad's Prism software for this kind of work- it's easy to use and fairly intuitive.
Answered by kaastel - Sun Jan 7 15:58:06 2007

Yahoo Answers Search: Biostatistics,
Thu Nov 26 12:57:06 2009