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i need the way in biostatistics applied in several fields?

how is applied in biostatistics: public health, epidemiology, health services research, nutrition, environmental health and the design and analysis of clinical trials in genomic medicine, population genetics and statistical genetics in populations in order to link variation in genotype, with a variation in the phenotype. Ecology genetic sequence analysis biological

Biostatistics (biological statistics) or biometrics is the application of statistics to a wide range of topics in biology. It has particular applications to medicine and agriculture. Reasoning and biostatistical models were crucial to the foundation theories of modern biology. In early 1900, after the rediscovery of Mendel's work, the conceptual gaps in understanding of genetics and evolutionary Darwinism led to intense debate between biometrics, such as Walter Weldon and Karl Pearson and Mendelian as Charles Davenport, William Bateson and Wilhelm Johannsen. For the 1930 statistics and models built on statistical reasoning had helped to resolve these differences and to produce the neo-Darwinian modern evolutionary synthesis. The main figures in the establishment of this synthesis was based on all the statistics and developed its use in biology. Sir Ronald A. Fisher developed several basic statistical methods in support of his work The genetic theory of natural selection Sewall G. Wright statistics used in the development of modern book of population genetics JB S Haldane, causes of evolution, natural selection restored as the primary mechanism of evolution by explaining the consequences in terms of mathematics Mendelian genetics. These people and the work of other biostatisticians, mathematical biologists, geneticists and statistically inclined helped bring together biology evolutionary genetics in a consistent and coherent whole that could begin to be quantitatively model. Parallel to this development in general, the pioneering work of D'Arcy Thompson On Growth and Form also helped to add quantitative discipline to biological study. Despite the fundamental importance and the frequent need of reasoning Statistically, it is possible, however, has been a tendency among biologists to distrust or reject results that are not qualitatively apparent. One anecdote describes Thomas Hunt Morgan ban Frieden calculator in your department at Caltech, said, "Well, I'm like a guy who is looking for gold in the river Sacramento in 1849. With a little intelligence, I can go down and pick up large pieces of gold. And while I can do that, I will not allow anyone in my department resources few residues placer mining in education and training programs Most programs are educational in biostatistics at the graduate level. They are more often in schools of public health, affiliated with medical schools, forestry or agriculture or as an approach to implementation in the departments of statistics. In the United States, and several universities have dedicated biostatistics departments, many senior faculty members of universities statistics or biostatistics in other departments such as epidemiology. Thus, departments bear the name of "Biostatistics" can exist in very different structures. For example, the relatively new biostatistics departments were created with a focus on bioinformatics and computational biology, while the largest departments, usually associated with schools of public health, have more traditional lines of research epidemiological studies and clinical trials, and bioinformatics. In large universities, where both statistics and biostatistics department exists, the degree of integration between the two departments can range from minimum to a very close collaboration. In general, the difference between statistics and biostatistics program is a two-fold: (I) the departments of statistics often will host research theoretical / methodological approaches are less common in biostatistics programs and (ii) the statistics departments have lines of investigation that may include biomedical applications but also other areas such as industry (control quality), business and economics and the biological sciences than medicine. Public health applications of biostatistics, including epidemiology, research health care, nutrition, environmental health and the design and analysis of clinical trials in genomic medicine, population genetics, statistical genetics and populations in order to link variation in genotype, with a variation in the phenotype. This has been used in agriculture to improve crops and farm animals. In biomedical research, this work may help in the search for candidates for gene alleles that may cause or influence susceptibility to disease ecology Design of Human Genetics biological sequence analysis A fundamental distinction in the evidence-based medicine is among the observational studies and trials controlled trials. Types of observational studies in epidemiology as the study cohort and case-control study provides evidence less convincing that clinical trials random. In observational studies, the researchers only observe associations (correlations) between the treatments experienced by participants and their health or disease. A randomized controlled trial study design is that it can provide the most convincing evidence that the study treatment causes the expected effect on health human health. Currently, some phase II and most Phase III trials of drugs have been designed as a randomized, double-blind, controlled placebo. Random: each object of study randomly assigned to receive study treatment or placebo. Blind: The subjects involved in the study did not know that treatment of study received. If the double-blind study, researchers also do not know which treatment is being given to a particular topic. This "blindness" is to avoid bias, since if a doctor knew the patient was receiving study treatment and that patients getting the placebo, he / she might be tempted taking the study drug (probably useful) to a patient who might benefit more easily from it. In addition, a doctor could give a care special only to patients receiving placebo to compensate for its inefficiency. One way to double-blind, called "double-dummy" allows additional insurance against prejudice or placebo effect. In this study, all patients were administered placebo and active dose in alternating periods of time in the studio. Placebo-controlled study: The use of a placebo (dummy treatment) allows researchers to isolate the effect of study treatment. Note that during the last ten years has become a practice common to conduct "active comparator" studies (also known as "active control" trials). In other words, when there is treatment it is clearly better than doing nothing for the subject (ie, give them the placebo), alternative treatment would be a standard of care therapy. The study was to compare treatment of the "test" standard of care therapy. Although the term "clinical trials" is more commonly associated with large-scale studies, randomized, Phase III typical, many of the trials are small. They can be "sponsored" by single physicians or a small group of doctors and are designed to test simple questions. In the field of rare diseases, sometimes the number of patients could be the limiting factor for a clinical trial. Other clinical trials require a large number of participants (which can be followed over long periods of time) and the sponsor is a private company, a government agency for health, or a body of academic research as a university. In a clinical trial, the first researcher identifies the drug or device being tested. Next, the researcher decides which compares with (one or more existing treatments or a placebo), and which patients might benefit from the drug / device. If the investigator can not obtain enough patients with this disease or condition in place of your own, then he or she brings together researchers in other places that can get the same type of patients to receive treatment. During the trial, the researchers, patients contract with the default features to manage the treatment (s) and gather data on the health of patients for a period of time. (These data include things such as vital signs, amount of study drug in the blood, and if the patient's health gets better or not). Researchers send data to the sponsor of the study, which analyzes the data were pooled using statistical tests. Some examples of what a clinical trial may be designed to: assess the safety and efficacy of a new drug or device on a specific type of patients (eg, patients who have been diagnosed with the disease Alzheimer's for less than a year) to evaluate the safety and efficacy of different dosages of a drug that is commonly used (eg 10 mg dose instead of 5 mg) to evaluate the safety and efficacy of a drug or device already on the market for a new indication, ie, a disease for which the drug is not approved further assess whether the new drug or device is more effective for the patient's condition since the used, the standard drug or device (the "pattern gold "or" standard therapy ") to compare the efficacy in patients with a disease-specific two or more already approved or common interventions for the disease (Eg device vs. B devices, therapy A therapy B) The design of a clinical trial, the sponsor should decide on the target number of patients to participate. The goal of the sponsor, it is usually to obtain a statistically significant result with a significant difference in outcome (eg, the number deaths after 28 days in the studio) between groups of patients receiving the study treatments. The number of patients needed to give a statistically significant depends on the question of the trial wants to answer. (For example, to show the efficacy of a new drug in a

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